Healthcare Technology Archives - | ̽��Ƶ| ̽��Ƶ

Beyond “Checklist” Compliance: Resilience in Healthcare Cybersecurity

Posted on by Keren de Via

For healthcare and medical institutions, dealing with sensitive information comes with the territory of patient care. In 1996, The Health Insurance Portability and Accountability Act (HIPAA) set several regulations for protecting patient privacy; however, it has few guidelines with how institutions can best configure their cybersecurity against a modern threat landscape. Additionally, cybersecurity compliance is often approached as a checklist exercise. In practice, most organizations are managing multiple overlapping frameworks independently, leading to duplicated work, fragmented processes, and limited visibility into actual risk.

Challenges in Healthcare Cybersecurity Compliance

Healthcare and medical institutions handle an incredible amount of sensitive data, including Protected Health Information (PHI) and Personally Identifiable Information (PII). Some institutions may also have Government contracts, in which case they will also handle Controlled Unclassified Information (CUI). This makes it a particularly enticing target for hackers.

Ransomware is on the rise, largely focusing on mid-market small specialty practices. In a month’s time in the fall of 2025, there was a 67% increase in ransomware attacks, primarily from 18 different threat actors. Ransomware affects multiple systems and effectively paralyzes an organization. The stakes are raised the second a cyberattack is launched; in a hospital with patients relying on technology to keep them healthy, the pressure is immediately on to remediate the issue. In these moments, the ability to understand control effectiveness and respond quickly across systems becomes critical, something fragmented compliance programs often struggle to support effectively.

Beyond external threats, many healthcare organizations face an internal operational challenge: the same controls are often assessed and maintained across multiple frameworks, with remediation and evidence tracked separately. This creates inefficiencies that increase cost and slow response times, even when security investments are in place.

When it comes to following cybersecurity compliance standards, healthcare organizations often approach these standards from a position of self-protection. This is not without precedent. Originally enacted in 1863 to prevent the sale of defective goods to the Government, the False Claims Act (FCA) today is used to prevent the filing of false claims to Medicare and Medicaid. Under FCA, liability can be applied broadly to anyone in the healthcare system, from administrators to nurses and physicians. Additionally, every ransomware attack exposes patient PHI and PII, opening the door to class action lawsuits.

What is NIST-CSF?

To establish uniform guidelines for cybersecurity standards across the Public Sector, the National Institute of Standards and Technology (NIST) published the Cybersecurity Framework (CSF). NIST-CSF 2.0 breaks compliance down into six main categories:

Govern: This section focuses on how an organization can establish, communicate and monitor cybersecurity risk management strategy, expectations and policy, including a recovery plan.
Identify: Once an organization understands their threat landscape, they can identify critical processes and assets and document information flows.
Protect: An organization puts safeguards in place to manage cybersecurity risks, training users in proper protocols, securing sensitive assets and conducting regular data back-ups.
Detect: When anomalous activity is detected, the organization isolates and analyzes the activity, determining the estimated scope of the impact and continuously monitoring all systems for adverse effects.
Respond: After an incident is evaluated, appropriate action is taken. Organizations collect data, prioritize incidents and escalate required actions as needed.
Recover: Once an incident has been resolved, an organization should execute their recovery plan. This includes quality checks and communication with both internal and external stakeholders.

Frameworks like NIST-CSF provide a strong foundation, but the challenge is not understanding the categories. It is operationalizing them across multiple frameworks at once. Not only does this model break down compliance with non-technical language, but it also allows healthcare organizations to approach their cybersecurity framework from a posture of resilience. However, in environments where multiple frameworks are in use, organizations must also consider how these controls align across requirements to avoid repeated effort and inconsistent implementation. NIST-CSF cannot be relied on solely; it states up front that it is not a maturity scale. In other words, it cannot measure how developed or effective an organization’s policies are. Additionally, no healthcare or medical institution faces the same threat landscape. There is no “one size fits all” solution for compliance; each organization must find and adjust a compliance framework that works best for them.

Steps to Strengthen Cybersecurity Posture

Healthcare organizations require clear lines of delineation concerning liability after a cybersecurity breach. It needs to be clear that Security Operations Center (SOC) analysts and other cybersecurity team members do not own the risk; rather, they are simply reporting on risk and identifying the stakeholders that own the risk. It is critical that the Chief Information Security Officer (CISO) remain an objective, honest conveyer of vulnerability and risk intelligence.

Compliance frameworks set the overall goal for cybersecurity, providing a compass to which health organizations can align budgets, staff and policies. To do this, an institution must fully understand their risk tolerance, a process known as risk framing. For example, if an institution chooses to implement a compliance framework focusing solely on HIPAA, it could potentially be neglecting necessary protections for CUI and could face Civil Monetary Penalties (CMP) or the loss of Government contracts or Federal funding. It is critical to examine an entire ecosystem and bolster its weakest points.

Another step in examining that landscape is understanding where multiple frameworks intersect and how they interact with each other. Without a unified approach, organizations often end up performing the same assessments and remediation activities multiple times, creating unnecessary overhead and delaying progress. Simply assuming that alignment across frameworks results in effective compliance creates blind spots, especially when controls are implemented and assessed inconsistently. Ultimately, devoting time and resources to continuous monitoring will keep PHI and PII secure and keep medical institutions running smoothly.

There is no such thing as static compliance; healthcare institutions need to continuously monitor their environment to ensure that their systems are secure. As regulatory requirements continue to evolve, organizations that reduce fragmentation and align controls across frameworks will be better positioned to maintain readiness, respond to threats, and improve their overall cybersecurity maturity.

Increasingly, this means moving toward a more unified, control-based approach, where compliance is not managed as separate efforts, but as a continuous, operational system.

Watch Cyturus’ The Day After Compliance—Healthcare and Medical Institutions webinar to explore more about compliance and observability in healthcare organizations.

The Top 5 Insights��for Government��from HIMSS 2026��

Posted on by Tim Boltz

Healthcare and technology leaders convened at the with a shared sense of urgency as the Federal health ecosystem is undergoing one of its most significant transformations in decades. Across panel sessions, discussions highlighted both the structural challenges and strategic investments shaping Government health agencies, from modernizing public health data infrastructure to addressing long-standing interoperability barriers that have fragmented care delivery.

Five critical insights emerged that define a path toward a more connected, data-driven and patient-centered Federal healthcare system.

Federal AI Policy Is Being Rebuilt Around Coordination, Not Fragmentation��

Leaders from the Department of Health and Human Services (HHS) emphasized that agency-by-agency artificial intelligence (AI) experimentation is ending. With dozens of programs across its divisions, HHS has restructured its AI strategy around three coordinated pillars: regulation, reimbursement and research/development.

Historically fragmented efforts created conflicting signals and limited cross-agency innovation. Now, the Secretary’s office serves as an alignment layer, ensuring regulatory decisions at the Food and Drug Administration (FDA), reimbursement policies at the Centers for Medicare and Medicaid Services (CMS) and research investments at the Advanced Research Projects Agency for Health (ARPA-H) are coordinated. The goal is not to expand Government roles, but to remove barriers and accelerate adoption of existing technologies.

The FDA is rethinking how AI-enabled medical technologies are regulated. After authorizing more than 1,000 AI and machine learning products, primarily in radiology but expanding into other domains, the agency recognizes the limits of a pre-market framework designed for static hardware, not continuously evolving software. Leaders described a shift toward lighter pre-market review paired with stronger post-market surveillance, focusing on real-world performance, model drift and patient outcomes. This approach requires new regulatory frameworks and enhanced data-sharing between developers, providers and regulators.

ARPA-H complements this work by funding high-risk, high-reward innovations not supported through traditional mechanisms. Notably, no generative AI (GenAI) technology capable of providing clinical care has received FDA authorization, a gap the agency aims to close. One flagship initiative supports AI systems capable of performing comprehensive physician functions, developed alongside the FDA to establish new regulatory pathways. Additionally, ARPA-H is investing in “supervising agents,” systems that monitor and control deployed AI, addressing the scalability limits of human oversight.

The VIP Sets a New National Standard for Health Data Exchange��

The Department of Veterans Affairs (VA) positioned itself as a national convener for interoperability through the , which unites leading health systems to improve care coordination for veterans regardless of where they receive care.

Grounded in the , the initiative mandates rapid adoption of national interoperability standards across care coordination, benefits, identity matching, quality measurement and public health. VA leaders outlined a layered interoperability model—from foundational standards such as , , to data quality frameworks like and ultimately to advanced analytics and decision support. The key message: interoperability is foundational, but value is created through what is built on top of it.

Operationally, the VIP is already enabling real-world capabilities. The Veteran Confirmation Application Programming Interface (API) allows Electronic Health Records (EHRs) to verify veteran status in real time, supporting eligibility recommendations under the and the . Two workgroups are developing recommendations for identity verification and care coordination workflows, targeting submission by the end of March. A structured cadence of monthly plenaries and bi-weekly workgroups ensures continuous alignment between policy, standards and implementation.

Seamless Collaboration Requires Breaking Down Technical and Cultural Barriers��

Federal, State and Local leaders underscored that populations served by multiple programs cannot be effectively supported by siloed agencies. Both technical and cultural barriers must be addressed simultaneously.

At the Federal level, CMS, VA and the Indian Health Service (IHA) are advancing shared infrastructure and lowering redundancy. CMS is transitioning from Government-developed systems to commercial platforms, accelerating innovation and enabling AI tools that now reach approximately 80% of its workforce, saving an estimated 5.5 hours per employee weekly. The agency is also adopting a multicloud strategy for resilience and fostering talent pipelines through partnerships with institutions like the University of Maryland.

IHS is undergoing a similar transition to commercial platforms, improving AI integration and expanding access to advanced tools in rural and tribal communities. Enterprise services help ensure equitable access where local technical resources are limited. The VA is modernizing security processes to reduce delays in technology adoption and leveraging physical locations to support identity verification, improving access for veterans struggling with digital enrollment.

Bridging the digital divide also requires workforce and literacy solutions. Baltimore City panelists highlighted the need to translate Federal data into local action, particularly around social determinants of health, including housing and economic mobility. Community health workers were cited as essential connectors and should be integrated into digital strategies from the outset.

Public Health Data Infrastructure Must Shift from Detection to Prediction��

The Center for Disease Control (CDC) acknowledged that current public health infrastructure is designed for detection, not prediction. While improvements have been made since COVID-19, a broader transformation is still underway.

The serves as a central hub, enabling flexible data exchange, reusable capabilities and advanced analytics. Its purpose is to shift focus from manual data processing to proactive analysis and decision making. Leaders envision disease forecasting becoming as routine as weather forecasting, with real-time modeling to guide early intervention.

State-level examples illustrate this shift. Illinois is consolidating siloed systems into a unified cloud platform, while addressing cultural resistance to data sharing. Louisiana is focusing on targeted, use-case-driven improvements tied to Medicaid and public health outcomes. Mississippi is prioritizing foundational infrastructure and workforce readiness before scaling analytics. Across all three states, the consensus is clear that interoperability only delivers value when tied to actionable outcomes.

The VA’s NextGen CCN Redesigns Care Delivery at National Scale��

Community care is one of the fastest-growing components of the VA healthcare system. Of the 17 million veterans served, roughly 6.3 million use VA healthcare annually, with 2-3 million accessing community providers. Programs introduced through the expanded access but created operational and financial complexity.

The addresses these challenges through a comprehensive redesign of how the VA manages external care. Expected to launch in early 2027, the program introduces a more competitive ecosystem involving insurers, providers and technology partners.

Key capabilities include improved care coordination, real-time data exchange, standardized quality benchmarks and outcomes-based reimbursement. Interoperability is foundational to these goals, enabling performance measurement and accountability. The program also prioritizes transparency and trust across stakeholders, ensuring a shared understanding of care delivery. Together, these efforts are designed to position the VA to deliver high-quality, fiscally responsible care while continuing to expand access for a veteran population whose demographics and care needs are rapidly evolving.

Charting the Course for Federal Health IT Modernization��

HIMSS 2026 reinforced that progress in Federal healthcare requires aligned investment across AI governance, interoperability, cross-agency collaboration, data infrastructure and care delivery redesign. Government health agencies are not simply adding new technologies onto existing systems; they are rethinking how they organize, share data and operate as an integrated ecosystem. Sustained success will depend on aligned standards, cultural transformation and technologies that translate strategy into measurable outcomes.

As ̽��Ƶ, The Trusted Government IT Solutions Provider™, continues supporting Federal health IT modernization, these insights inform how industry can partner with Government to deliver a more connected, data-driven and patient-centered healthcare system.

Explore ̽��Ƶ’s&�Բ��;Healthcare Technology portfolio of leading solutions that support Federal healthcare modernization priorities including AI, interoperability, cloud infrastructure and advanced analytics.

Contact the Health IT Team at Healthcare@̽��Ƶ.com or (571) 591-6080 to learn more.

10 Healthcare Technology Predictions Shaping 2026��

Posted on by Tim Boltz

̽��Ƶ, The Trusted IT Solutions Provider for the Healthcare Industry™, supports healthcare organizations in their mission to deliver efficient, high-quality care across the enterprise. Our comprehensive portfolio of healthcare solutions addresses critical needs across clinical systems, patient experience, enterprise operations, infrastructure and more. We help healthcare organizations streamline workflows, reduce administrative burden and improve security, maximizing the value of technology investments. As healthcare continues to evolve through regulatory changes, innovation and shifting care delivery models, these 10 trends represent the most significant opportunities and challenges facing the industry in 2026.

Interoperability: From Compliance Exercise to Strategic Asset��

The 21^st Century Cures Act and the Office of the National Coordinator’s (ONC) Health Data, Technology and Interoperability (HTI)-1 Final Rule have pushed standardized Fast Healthcare Interoperability Resources (FHIR)-based Application Programming Interfaces (APIs) and expanded data classes into the market. The Center for Medicare and Medicaid Services’ (CMS) Interoperability and Prior Authorization Final Rule adds pressure on both payers and providers to exchange information seamlessly. In 2026, however, organizations that treated these regulations as checkbox compliance activities will watch competitors turn interoperability into operational advantage.

Real-time data feeds reduce prior authorization delays. Integration platforms surface insights that drive value-based care arrangements. Data warehouses built for exchange, not just storage, become the foundation for population health management. The early adopters are not just meeting regulatory requirements. They are using data exchange to reduce administrative burden, improve care coordination across settings and unlock revenue opportunities that siloed systems leave on the table.

The��Transparent��Use of AI in Healthcare��

In 2026, healthcare leaders will shift from asking should they use AI to how to document and explain it. The HTI-1 Final Rule introduced algorithm transparency requirements: disclosure when artificial intelligence (AI) and machine Learning (ML) algorithms influence clinical decisions. Clinical teams need to understand when AI-driven insights are guiding care recommendations, and patients deserve to know when algorithms influence their treatment plans.

Regulatory bodies expect organizations to prove their AI tools meet safety and efficiency standards. The organizations that move early on AI governance frameworks, establish clear documentation standards and train clinicians on algorithm literacy will be ready when transparency moves from recommended to required.

AI will also be used as the voice of healthcare. Call center staff miss operational targets by spending 25 minutes on a single call, AI, however, can make 50+ simultaneous calls while giving each patient the time they need. This capability transforms patient engagement at scale. AI enables follow-up with 100% of discharges, identifying interventions that prevent readmissions and materially impact the quadruple aim: better outcomes, better patient experiences, lower costs and improved clinician satisfaction.

Telemedicine Shifts to Integrated Care Model��

Telemedicine exploded during the pandemic as an emergency solution. In 2026, leading organizations will stop treating telehealth as a separate channel and start embedding it into the care continuum. Digital front doors guide patients to the right care setting, whether that is video, in-person or asynchronous messaging.

The technology exists and the patient demand has been proven, but what is missing is the operational maturity to weave virtual care into clinical workflows, reimbursement models and quality measurement. Organizations that integrate this technology into their environments will deliver better access without fracturing the care experience.

The Revenue Cycle��

Healthcare organizations have been exploring AI in clinical settings (ambient documentation, diagnostic support, care coordination), but the revenue cycle may deliver faster more measurable returns. Prior authorization is a prime target. AI can automate the documentation assembly, predict approval likelihood and flag missing information before submission.

Coding accuracy is another opportunity. Natural Language Processing (NLP) tools can analyze clinical documentation and suggest appropriate diagnosis and procedure codes, reducing claim denials and capturing revenue that incomplete documentation would lead to. The Chief Financial Officer (CFO) conversation around AI will shift in 2026. Revenue cycle leaders will demonstrate tangible Return on Investment (ROI): fewer denials, faster reimbursement and reduced administrative costs. These wins will fund broader AI adoption across the enterprise.

Value-Based Care��

The shift to value-based care has been talked about for years, but 2026 is when data infrastructure limitations become impossible to ignore. Value-based contracts require organizations to track outcomes across care settings, measure quality metrics in real time and identify high-risk patients before they become high cost. Siloed Electronic Health Records (EHRs), fragmented data warehouses and manual reporting processes cannot support these requirements.

Organizations need integration platforms that pull data from multiple sources, such as inpatient, outpatient, lab, pharmacy and claims. They need analytics tools that surface actionable insights, not just dashboards, and they need governance frameworks that ensure data quality and consistency.

The healthcare organization succeeding in value-based arrangements are not necessarily the largest or best-resourced. They are the ones that invested early in data infrastructure and developed the analytical capabilities to turn information into action.

Cybersecurity: From IT Issue to Board-Level Risk��

The proposed changes to the Health Insurance Portability and Accountability Act (HIPAA) Security Rule published December 2024 represents a significant escalation in regulatory expectations. If finalized in 2026, covered entities will face requirements for data encryption, Multi-Factor Authentication (MFA), network segmentation, vulnerability scanning and penetration testing. The Department of Health and Human Services’ (DHHS) Cybersecurity Performance Goals provide a voluntary framework, but the proposed HIPAA updates suggest these practices may become mandatory.

Chief Information Security Officers (CISOs) who can translate technical risks into business impacts will gain influence. Organizations that invest in both technology controls and governance frameworks will build resilience that extends beyond compliance checkboxes. Organizations that elevate cybersecurity to a strategic priority will be better prepared when threats escalate.

The Digital Front Door��

Patient expectations have changed. People expect to schedule appointments, complete intake forms and access their health information online. The digital front door is more than a patient portal. It is a comprehensive strategy to meet patients where they are. In 2026, leading organizations will integrate digital patient engagement tools into a seamless experience, reducing administrative burden on staff, improving patient access and generating operational efficiencies.

However, digital tools that do not connect to existing workflows create more problems than they solve. Integration of patient-facing technology with operational systems eliminates duplicate work and improves patient and staff experiences.

Rural Healt�󳦲��հ��Բ��ڴǰ��پ��ǲ��

The Rural Health Transformation Program represents the most significant Federal investment in rural healthcare infrastructure with $50 billion over five years, starting in 2026. This funding creates opportunities for technology investments that rural hospitals and health systems, particularly patient-facing solutions, technical assistance for IT and cybersecurity and innovative care models that often depend on digital tools.

Rural organizations that prepare strong applications will access resources that can transform their operational capabilities. However, rural organizations often lack the IT staff, strategic planning capacity and vendor relationships that larger systems have. The organizations that succeed in securing and deploying these funds will be those that partner with experienced implementation teams, prioritize high-impact use cases and build sustainable technology roadmaps.

Technology vendors and solution providers should pay attention to this program. It represents a market opportunity to support underserved communities with solutions that improve access, reduce costs and strengthen resilience.

Workforce Solutions��Beyond Scheduling and Talent Management��

Healthcare’s workforce crisis continues as burnout and turnover remains high. Traditional solutions help but do not solve the underlying challenges and impact staffing shortages have on care delivery and patient experience. In 2026, forward-thinking organizations will expand their workforce technology strategy beyond administrative efficiency to include tools that directly reduce clinician burden and improve job satisfaction.

Clinical and operational technologies improve the work experience, and organizations that recognize this and invest accordingly will differentiate themselves in competitive labor markets. Workforce development technology such as training platforms, competency management systems and career advancement tools can help organizations grow talent internally rather than recruiting externally. This is especially valuable for rural hospitals that cannot compete with compensation alone. The organizations that treat workforce challenges as technology opportunities will build more resilient, engaged and effective teams.

The Role of��Process Automation��

Healthcare has embraced automation is administrative functions like claims processing, appointment reminders and billing. These applications deliver clear ROI and do not require clinical engagement. Clinical applications, however, require different considerations than back-office automation. These workflows involve judgement, variability and patient safety concerns.

Automation in clinical settings requires trust. Clinicians need to understand how automated processes work, when to intervene and how to escalate exceptions. IT and operational leaders need to ensure automation enhances workflows rather than creating workarounds that introduce new risks. Healthcare organizations that approach automation thoughtfully will reduce burden, improve efficiency and demonstrate that technology can support instead of complicate clinical work.

These trends represent opportunities for healthcare organizations to leverage technology in pursuit of better outcomes, improved efficiency and stronger financial performance. The organizations with clear priorities, engaged leadership and commitment to implementation will position themselves for success. As regulatory requirements evolve and patient expectations rise, technology partnerships become essential to delivering high-quality care while managing costs and operational complexity.

Explore ̽��Ƶ’s&�Բ��;Healthcare Technology solutions portfolio to discover compliant, secure solutions tailored for healthcare organizations.

Download to evaluate solutions that meet your organization’s operational and compliance requirements.

Contact the Healthcare Team at (571) 591-6080 or Healthcare@carahsoft.com to discuss solutions that accelerate your technology adoption.

Top 10 Healthcare��IT��Events in 2026��

Posted on by Tim Boltz

Healthcare organizations face the challenge of harnessing transformative technologies to improve patient outcomes while maintaining security, compliance and interoperability. From implementing artificial intelligence (AI) and strengthening cybersecurity to modernizing health information exchange and navigating evolving regulatory requirements, Government healthcare agencies and providers must balance innovation with stringent standards that protect patient data and care quality. ̽��Ƶ., The Trusted Healthcare IT Solutions Provider™, supports this effort with a broad portfolio of proven healthcare technologies and expert guidance across every stage of digital transformation. Throughout 2026, premier healthcare IT events will bring together clinical, IT and policy leaders to explore emerging trends and share insights that advance care delivery. Join ̽��Ƶ at these key gatherings as we support the healthcare community’s mission to deliver better outcomes through secure, intelligent technology adoption.

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March 8, 2026 | Las Vegas, NV | In-Person Event

̽��Ƶ’s&�Բ��;Charity Golf Classic will take place before the HIMSS Healthcare Conference, offering attendees a unique opportunity to make connections before the week’s events begin. The tournament welcomes participants of all skill levels to enjoy a day of community, networking and purpose. All proceeds from the event will support Alex’s Lemonade Stand Foundation, helping fund critical research and provide support to families facing childhood cancer. Do not miss this chance to back a great cause and gain visibility in the healthcare industry!

The Charity Golf Classic is hosted by ̽��Ƶ with support from This Week Health and HIMSS. We are committed to both the healthcare community and the fight against pediatric cancer. By supporting Alex’s Lemonade Stand Foundation, we are joining healthcare leaders in making a meaningful impact beyond technology, directly contributing to research that saves children’s lives. This event embodies ̽��Ƶ’s belief that supporting the healthcare sector means more than providing IT solutions; it means standing alongside healthcare professionals in their broader mission to improve patient outcomes and advance medical breakthroughs. Reach out to HealthcareMarketing@carahsoft.com with any inquiries.

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April 13 – 16, 2026 | Chicago, IL | Hybrid Event

Becker’s 16^th Annual Meeting brings together more than 3,500 senior healthcare executives, including CEOs, CFOs, CMIOs, CNOs and service leaders, for four days of high-impact discussion centered on the industry’s most pressing challenges. With 840+ speakers, attendees will gain peer-tested strategies for margin recovery, workforce stabilization, AI integration, cybersecurity risk management and value-based care. The event features four dedicated summits that offer both focused depth and a cross-functional perspective for leaders navigating an increasingly complex healthcare landscape. The summits focus on the following:

Academic Medical Centers

Clinical Leadership

Workforce

̽��Ƶ will have a 10×10 gold booth at Becker’s 16^th Annual Meeting, where attendees can connect with our team and explore our portfolio of healthcare IT solutions. Discounted passes are available for ̽��Ƶ partners. Reach out to learn how to take advantage of this opportunity and maximize your presence at one of healthcare’s premier executive gatherings.

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May 9-12, 2026 | Las Vegas, NV | In-Person Event

As the peak of health IT education, HIMSS26 offers attendees the opportunity to explore innovative digital health solutions, network with industry leaders and engage in discussions that will shape the future of healthcare. With more than 600 educational sessions and a major emphasis on AI, cybersecurity, digital transformation, health equity, data governance and workforce challenges, HIMSS26 consistently features worldclass keynote speakers, spotlighting influential global leaders in healthcare, technology, innovation and public policy. New for 2026, the introduction of One Hour Workshops provides fast, high-density learning sessions that combine presentations, collaborative discussions and hands-on exercises. Long recognized as the premier venue for interoperability advancements, HIMSS remains the trusted stage where major updates are shared, discussed and stress tested.

Session tracks to look out for:

Emerge Experience – This track has been reimagined for HIMSS 2026 and is now a full day of education that is essential if you follow tech innovation, digital transformation or startup ecosystems.

AI Track – AI-focused sessions will dive deep into AI-powered diagnostics, AI for clinical workflows and enterprise-scale AI strategies.

Cybersecurity Track – With ongoing attacks on health systems, these sessions will highlight cybersecurity as a critical risk area.

̽��Ƶ is proud to sponsor the HIMSS Global Conference & Exhibition, demonstrating our commitment to helping healthcare organizations navigate the complex intersection of innovation, security and patient care. ̽��Ƶ’s anchor booth pavilion will host demo kiosks and 10×10’s showcasing our vendors’ solutions, connecting the healthcare community with the expertise, guidance and proven tools needed to advance digital transformation safely and effectively. Join us at booth #6424 to learn more about the technologies shaping the future of public health and be sure to check back for new opportunities to connect at the event!

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May 26-27, 2026 | Bethesda, MD | In-Person Event

The transformation of the U.S. public healthcare system is an ongoing mission, striving to deliver quality care, exceptional outcomes and improved patient experiences. At the 2026 AFCEA Health IT Summit, this mission takes center stage as Federal agencies and industry leaders gather to accelerate progress in an era defined by AI, interoperability, automation and strengthened cybersecurity. This year’s Summit theme, Making Progress, Advancing Healthcare Outcomes in an Era of AI, highlights how modern health IT is reshaping Federal healthcare by driving prevention, enhancing access through telehealth, enabling seamless data exchange and securing critical systems against evolving cyber threats.

Session topics include:

Acquisitions

Cybersecurity

Data science

Generative AI (GenAI)

̽��Ƶ will have a tabletop at AFCEA Health IT Summit as well as introductory remarks during the keynote session. Understanding the unique challenges faced by agencies in modernizing health IT while maintaining security and compliance, ̽��Ƶ is dedicated to connecting healthcare leaders with insights and proven solutions. Our team will engage with attendees to help identify practical approaches to transforming healthcare delivery for service members, veterans and all Americans.

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August 17-20, 2026 | Portland, OR | In-Person Event

For more than two decades, the Medicaid Enterprise Systems Conference (MESC) has served as the premier national gathering for Federal, State and Private Sector leaders, attracting over 1,600 attendees annually across the healthcare community. Each year, a new state volunteer committee curates an agenda designed to address the evolving needs of the Medicaid enterprise, featuring sessions on Medicaid programs, system procurement and funding, operations, modularity initiatives, Health Information Technology (HIT), Health Information Exchange (HIE) and data analytics. With over 100 exhibitors, MESC offers attendees an expansive platform to explore the latest solutions, technologies and proven strategies that support the future of Medicaid enterprise systems.

̽��Ƶ’s pavilion at MESC 2026 will feature six, 10×10 healthcare technology exhibitions showcasing our vendors’ solutions, as well as booth activations, a speaking session and a cohosted reception. These easy-access opportunities presented by ̽��Ƶ allow attendees one-on-one time with leading healthcare technology experts to discuss their unique challenges and come up with solutions that best fit their healthcare system needs. Our team will be available throughout the conference to share implementation insights from successful Medicaid modernization projects and help agencies identify practical approaches to improve program outcomes and better serve beneficiaries.

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September 2, 2026 | Bethesda, MD | In-Person Event

The GovCIO Health IT Summit brings together Federal health leaders and innovators to explore how emerging tools and modernization efforts are transforming healthcare delivery across Government agencies. At this year’s Summit, attendees will gain critical insights into the technology that is shaping the future of public health services. As Federal agencies work to improve care coordination, enhance data sharing and strengthen digital infrastructure, the Summit serves as a forum for advancing meaningful progress across the health IT ecosystem.

Agenda topics include:

Electronic Health Record (EHR) Modernization

Data Interoperability and Frameworks

AI in Health Care

Cybersecurity

Telehealth

̽��Ƶ’s participation in the GovCIO Health IT Summit demonstrates our commitment to helping Federal healthcare agencies navigate the challenges of health IT modernization and improve care delivery. Understanding that Government healthcare organizations face unique pressures to balance innovation with security, interoperability and regulatory compliance, ̽��Ƶ’s team will engage with attendees, discussing emerging health IT trends, sharing implementation lessons and helping agencies identify ways to leverage technology to enhance patient outcomes.

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November 11-14, 2026 | Denver, CO | In-Person Event

The CHIME26 Fall Forum brings together experts from across the industry to redefine leadership in the next era of healthcare. This year’s Forum invites those who think boldly and push boundaries to engage in critical conversations at a pivotal moment for healthcare IT. As organizations navigate rapid transformation across care delivery, technology and leadership, CHIME26 provides a platform for thought-provoking keynotes, engaging sessions and high-impact networking. This impactful event offers attendees the opportunity to connect with industry experts, collaborate with peers and to be a part of charting the path forward for digital healthcare.

Session topics to look out for include:

Mastering the Latest in AI

Strengthening Cybersecurity

Exploring Innovative Care Models

̽��Ƶ will have a presence at CHIME26, continuing our mission to help healthcare Chief Information Officers (CIOs) and IT leaders navigate the complexities of digital transformation while maintaining the security, reliability and patient focus that define exceptional healthcare delivery. Our team will be on-site, connecting attendees with the technologies, insights and approaches that will enable them to lead transformative changes within their organizations. We invite attendees to join our focus group session, where participants can collaborate on addressing shared challenges and contribute valuable insights that help shape future solutions for the CHIME community.

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November 15-18, 2026 | Las Vegas, NV | In-Person Event

HLTH 2026 is a major annual conference that brings together over 12,250 attendees from the healthcare ecosystem, including providers, startups, investors, policymakers and more. With focus on areas such as AI, global health collaboration, workforce and employer health, diagnostics and clinician-centered transformation, HLTH 2026 offers a powerful platform for exploring how technology, partnerships and new care models are reshaping healthcare delivery and experience. From groundbreaking sessions to dynamic networking opportunities, HLTH is where bold ideas and meaningful conversations are shaping the future of healthcare.

̽��Ƶ will participate in HLTH 2026, advancing our mission to help healthcare executives and clinical leaders navigate digital transformation while preserving the patient-centered care that defines healthcare excellence. As industry pioneers converge to explore innovations reshaping care delivery, payment models and health equity, our team will connect attendees with technologies and strategic perspectives that enable organizations to drive meaningful change. We are committed to facilitating dialogue between healthcare visionaries and solution providers who share the goal of improving outcomes through intelligent technology adoption that serves patients, providers and populations.

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Various Dates and Locations in U.S.

Sacramento City Tour Dinner (April 1) | 2 Partner Spots Left

Boise City Tour Dinner (June 2) | 3 Partner Spots Left

CISO Roundtable (Dallas, April 16-18) | 2 Partner Spots Left

CTO Roundtable (Destin, May 14-16) | 1 Partner Spot Left

The 229 Project from This Week Health is expanding its national footprint in 2026, bringing together healthcare technology leaders for in-depth discussions, networking opportunities and professional development. With over 63 events planned across 30 cities, these events offer unparalleled opportunities to engage in meaningful conversations, build community and accelerate transformation in healthcare organizations. Whether through summits, roundtables or city-tour dinners, each 229 event creates space for leaders to exchange insights, tackle pressing challenges and form the relationships that drive real progress.

As a trusted partner of This Week Health, ̽��Ƶ understands that healthcare executives benefit most from intimate, peer-to-peer conversations where they can openly discuss challenges, share insights and learn from each other’s experiences. By supporting 229 events throughout the year, ̽��Ƶ is helping executives connect, collaborate and advance their organizations’ missions to deliver better patient care.

More Events

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February 22-25, 2026 | Los Angeles, CA | In-Person Event

ViVE brings together the leadership of the College of Healthcare Information Management Executives (CHIME) and the innovation marketplace of HLTH, creating a premier event where the business of healthcare meets the future of technology. Designed for digital health decision makers, ViVE convenes C-suite executives, Government leaders, healthcare providers, IT security professionals, investors and a broad ecosystem of solution providers driving measurable transformation across healthcare. At ViVE 2026, attendees will gain access to real-world solutions, curated networking experience, though-leading speakers and immersive programs focused on areas such as patient experience, AI, data innovation and diagnostics. Join ViVE to explore groundbreaking technologies, collaborate with industry leaders and help shape the future of healthcare.

Sessions to look out for:

Reimagining Nursing Workflows: Giving Time Back to Care – This session focuses on AI-enabled transformation, automation and reducing administrative burden.

Nursing and Remote Care: Expanding Care Delivery Beyond the Bedside – This session discusses how to scale nurse-led virtual care as remote and hybrid care models continue to expand.

Navigating Healthcare Policy Twists in 2026 – For anyone tracking Federal/State policy shifts, reimbursement, data privacy and regulatory compliance, this is a key session for understanding 2026 health policy impact.

̽��Ƶ will have a presence ai ViVE 2026 at booth #1442, demoing several vendors, including Broadcom and Dell. ̽��Ƶ will also be hosting a session discussing how AI can save lives and improve cyber defenses. Our team will be available throughout the event to connect healthcare professionals with the right solutions to enhance their mission of delivering better care.

The healthcare technology landscape is evolving rapidly, creating both opportunities and complex challenges for organizations focused on improving patient care. These 2026 events offer healthcare leaders valuable insights, proven implementation approaches and trusted partnerships to navigate digital transformation successfully. ̽��Ƶ is proud to support the healthcare community at these premier events, connecting Government healthcare professionals, clinical innovators and technology experts dedicated to advancing care delivery. Whether exploring AI, strengthening cybersecurity, modernizing Health Information Systems (HISs) or improving interoperability, these events provide invaluable opportunities to learn from peers, discover innovative solutions and build collaborative relationships that drive healthcare forward. We look forward to connecting with you throughout the year as we work together to transform healthcare through secure, effective technology adoption.

To learn more or get involved in any of the above events, please contact us at Healthcare@carahsoft.com.

For more information on ̽��Ƶ and our industry-leading healthcare technology partners, visit our healthcare solutions portfolio and healthcare events page.

The Year of Expansion for GenAI in Government

Posted on by Mike Adams

Generative AI (GenAI) is entering a pivotal new phase in 2026, marked by rapid advances in accuracy, reliability and mainstream integration. In 2025, GenAI became embedded into our everyday lives – from AI-generated overviews in search engines to classrooms adapting to powerful, readily accessible large language models. At the Federal level, 2025 White House guidance instructs agencies to push forward with AI infrastructure, building secure data centers to support the compute necessary in implementing innovative, American-built AI into our most vital missions.

GenAI’s unique content generation capabilities can be used to increase efficiency and productivity in our US Government agencies in the form of chatbots, text-to-speech audio generation, AI task managers, coding assistance and other Natural Language Processing (NLP) models. With the rising momentum created by America’s AI Action Plan and increased budgets for AI in areas such as the Department of War (DoW) and Veteran Affairs (VA), 2026 is the year of expansion for GenAI.

Augmenting Agencies in Task Execution

In Government agencies, GenAI commonly removes routing and repetitive workflows, freeing up users to focus on strategic tasks. GenAI works best in mission-support roles, supplementing human roles by improving written communication, increasing the efficiency of accessing information, enabling program status tracking and more. Personalized learning paths and AI assistants can augment current roles.

There are various use cases for GenAI. Program-specific examples include:

Defense
- The DoW has deployed GenAI.mil – a secure, bespoke platform that leverages generative AI to enhance efficiency, speed and operational effectiveness in our most critical defense and national security missions.
FEMA & NOAA
- In inclement situations, GenAI has been used to perform tasks like weather [CA1] and disaster prediction and response. Some GenAI models have even been more accurate than traditional deterministic models, suggesting GenAI has a strong use case in research and science.
GSA
- GSI has launched USAi, a secure GenAI evaluation suite that has helped employees draft emails, generate code and summarize documents.
The Department of Veterans Affairs
- GenAI has been used to automate various medical imaging processes to enhance veterans’ diagnostic services.
Healthcare & Department of Health and Human Services
- Generative AI has enabled healthcare systems to enhance medical images, generate molecular structures for potential drugs and create realistic patient data for AI training.
- To support containment of the poliovirus, the Department of Health and Human Services initiated an effort to use GenAI to extract information from publications and identify outbreaks in areas previously thought to be polio-free.

Procurement of GenAI solutions is being simplified and expedited by the Federal Government, increasing agencies’ ability to use innovative solutions to solve complex problems. GSA’s OneGov strategy delivers generative AI to the government by removing a major barrier to AI adoption: cost. Through the OneGov agreements, popular GenAI solutions are available for $1, and agencies are given the opportunity to experiment with AI and see what works best for their specific use cases. This strategy aligns with America’s broader AI policy framework – allowing agencies to take advantage of the speed, automation and modernization capabilities provided by AI. ̽��Ƶ’s dedicated OneGov page serves as a centralized resource for determining product availability and identifying procurement pathways.

Federal Guidance for AI Usage

GenAI is already being used successfully in the US Government, and recent Federal guidance cements AI’s place in Government operations. 2025 executive orders (EO’s), such as “Removing Barriers to American Leadership in Artificial Intelligence” pave the way for increased usage of the technology. See below for an overview of relevant generative AI-focused memos and EO’s released in the last few months.

Launching the Genesis Mission – November 24, 2025

The Genesis Mission establishes AI at the forefront of scientific and economic growth and calls for an integrated platform to enable AI-automated research and discovery. The next wave of federal AI will prioritize scalable compute orchestration, secure model training environments, hypothesis-testing AI agents, supply-chain rigor, and measurable national return on investment that will be evaluated by acceleration in discovery velocity, compressed innovation cycles, and compounding mission impact – not extended pilots.

Ensuring a National Policy Framework for Artificial Intelligence, December 11, 2025

This EO adds on to previously established framework by ensuring state-by-state regulatory laws do not act as barriers to fast AI adoption, and that ideological bias is not embedded into AI tools used within each state. By creating a unified framework, America will become the winner of the AI race.

M-26-04: Increasing Public Trust in AI Through Unbiased AI Principles, December 11, 2025

In response to Executive Order 14319, OMB released M-26-04 which establishes principles for unbiased AI: that it is truth-seeking, and that it is ideologically neutral. All LLM’s procured by a government agency must abide by the unbiased AI requirements established in this memo.

Transforming the Defense Innovation Ecosystem to Accelerate Warfighting Advantage, January 9, 2026

This DoW memo formalizes AI as a core warfighting capability across DoW operations and streamlines integration and acceleration of adoption.

War Department’s AI Acceleration Strategy to Secure American Military AI Dominance, January 11, 2026

The DoW’s January 2026 memo outlines their AI dominance strategy. It calls for establishing an AI-first warfighting force – echoing earlier EOs and removing barriers that would hinder adopting practical, mission-first AI solutions for DoW. It highlights the previously mentioned GenAI.mil program that provides direct access to leading GenAI solutions for the DoW, enhancing speed and ease of AI adoption.

Department of War’s Arsenal of Freedom Tour, January 2026

A new “AI Swat Team,” led by the CDAO, is charged with removing barriers and increasing data sharing to speed up AI deployment. The DoW’s AI strategy, and the SWAT team enforcing it, shows that their measure of AI success is how fast usable data reaches operational systems. Organizations that improve data access, quality, and interoperability will be able to maintain strategic advantage.

Recent guidance establishes a framework for AI adoption and usage, enabling fast, common-sense deployment to ensure America wins the AI race. While agencies are encouraged to push forward, they must maintain the highest levels of security.

Building the Foundation for Successful Generative AI in Government

As Generative AI moves beyond pilot programs and into operational use, agencies must ensure these systems meet the established requirements for security, reliability and data protection. GenAI is dynamically generating content, so it must be deployed within secure environments where sensitive information remains protected and outputs are grounded in trusted data sources. Federal guidance emphasizes strong governance, secure infrastructure and validation mechanisms to ensure AI-generated outputs remain accurate and mission-relevant. With these controls in place, agencies can scale Generative AI to support mission execution while maintaining full confidence in the integrity of their systems and data.

Current Federal recommendations include utilizing and onboarding:

Risk management solutions
On-prem and cloud data security
Impact Level (IL) 5 and 6 security standards for mission-critical or classified information
Air gapping, which physically isolates computer systems and networks to avoid breaches
Model Context Protocol (MCP), the universal open standard for connecting AI applications to external systems
Zero Trust Architecture (ZTA), the foremost security strategy that verifies the identity of end users as they access the network
Data governance for Retrieval-Augmented Generation (RAG), which enables content filtering and identity validation

Agencies are strongly encouraged to draw on guidance from reputable experts, including the National Institute of Science and Technology (NIST), whose AI Risk Management Framework (RMF) offers a proven foundation for responsible adoption. In addition to technical protocols, it is helpful to keep a human in the loop to audit and observe GenAI output, minimizing chatbot errors. Cybersecurity considerations, including data poisoning, data leakage and hallucinations, must be actively monitored to ensure models operate safely and consistently across Government missions.

Keeping security at the forefront is vital for GenAI’s success in Government. With thoughtful governance and strong safeguards, GenAI can advance agency missions without compromising security. The stakes are high, but so is the opportunity.

As The Trusted IT Solutions Provider for Government™, ̽��Ƶ offers a comprehensive portfolio of AI and GenAI solutions designed to meet the unique security, compliance and operational requirements of Federal, State and Local Government agencies. From secure on-premises deployments to cloud-based platforms that meet Impact Level 5 and 6 standards, ̽��Ƶ’s technology partners deliver the tools agencies need to implement AI responsibly and effectively.

Visit ̽��Ƶ’s AI Solutions portfolio to explore GenAI platforms, risk management frameworks and Zero Trust security solutions that align with Federal guidance and support mission-critical operations.

Explore OneGov offerings available through ̽��Ƶ.

Contact ̽��Ƶ’s AI team to discuss how GenAI can transform your agency’s workflows while maintaining the highest security standards.

Healthcare Cybersecurity in the Federal Government: Protecting Patient Data at Scale

Posted on by Jeff Ladner

Federal healthcare programs process millions of patient records every day. One small gap in protection could put sensitive healthcare data at risk. As a GRC or infosec leader, you understand that modern cyber threats target these systems with a dual purpose: to steal vital patient data and to lock down critical files for ransom.

These healthcare programs manage patients’ medical histories, prescriptions and payment information. Although the COVID-19 pandemic accelerated digital health initiatives to improve data protection, it also made data more attractive targets for cybercriminals.

Explore the healthcare cybersecurity challenges that Federal agencies face, along with practical ways to strengthen defenses. You’ll also discover how automation can help your team achieve cybersecurity compliance without unnecessary complications.

The Scale of Patient Data in Federal Healthcare

Federal healthcare systems, such as the Center for Medicare and Medicaid Services (CMS) or the Veterans Affairs (VA) programs, deal with vast amounts of patient data. This could be electronic health records (EHRs), billing details or research databases that connect hospitals, clinics and vendors across the country.

A breach of this data affects not only the institution but the patients as well. It can delay timely care, disrupt healthcare services and leave patients vulnerable to the exploitation of their sensitive information.

For example, a ransomware attack on a large health system makes electronic records temporarily inaccessible. The staff has no option but to revert to paper-based processes to keep services up and running. This can result in inaccuracies and slowed care. When Federal healthcare programs are targeted, the impact can ripple across states and agencies.

Federal healthcare programs operate under strict regulations designed to protect patient data. The sets national standards for healthcare covered entities, including specific government agencies, and business associates regarding the protection of electronic health information.

For Federal use of cloud services, ensures that cloud providers meet rigorous security standards. Compliance lays the foundation for a structured approach to managing risks and maintaining accountability across systems.

Common Cyber Threats Federal Healthcare Organizations Face

Healthcare organizations at the Federal level face a range of cyber threats. These risks come from various sources, including employees, medical devices and external parties such as contractors and agencies. The most common include:

Phishing attacks targeting employees for credential theft
Ransomware locking down entire databases
Medical devices, such as imaging machines and connected monitors, introducing entry points due to inconsistent software updates or monitoring
Simple human mistakes, such as misconfigured access permissions or password sharing, exposing critical systems

This is why security awareness training is as important as technical defenses. If your staff is educated to proactively identify these cybersecurity threats, you can strengthen your institution’s first line of defense against them.

Implementing an automated cybersecurity platform can further help. With an efficient security tool, you can create policies that protect patient data at every step of its lifecycle.

How To Protect Patient Data at the Federal Level

When your agency maintains strong compliance practices, you are better positioned to detect and respond to threats and recover quickly from incidents. Here are ways to meet and at the Federal level.

Stay Prepared for Effective Incident Responses

Even with strong controls, incidents still occur. That’s why clear incident response plans are essential. These plans define roles, responsibilities and communication protocols for teams during a cyber event.

For instance, if a breach occurs in your agency’s health system, your IT, risk, compliance and leadership teams can minimize its impact with timely coordination. To make this happen, they need to regularly test their response plans to identify gaps before a real incident occurs.

You can also implement tabletop exercises in your agency. These practices allow teams to simulate ransomware attacks or data breaches to refine their decision-making skills and strategies.

Post-incident reviews are equally important. Agencies can learn from events without assigning blame.

Ensure Data Governance

Data governance is a practical approach to managing the storage, accessibility and sharing of healthcare data. It enables Federal agencies to clearly define ownership and access rights over critical patient data while establishing retention policies. This reduces confusion and improves accountability within teams.

Strong governance also supports cybersecurity compliance by ensuring that controls are applied consistently across systems. For example, your Federal agency can use a centralized platform to track who can access patient records and log any changes. This way, you can meet HIPAA and FedRAMP requirements and maintain a clear audit or incident investigation record.

Reduce Risk With Visibility and Automation

Many emerging technologies are helping Federal healthcare organizations manage cybersecurity more effectively. Centralized platforms provide visibility across multiple systems, helping security teams spot unusual activity quickly.

Moreover, automation reduces manual work and lowers the chance of human error, such as misconfigured permissions or missed updates. For instance, automated alerts can notify administrators if an unusual login occurs outside regular hours. These small interventions can prevent a minor vulnerability from escalating into a full-scale breach.

Establish Secure Digital Health Systems

Connected medical devices are essential for modern healthcare, but they require human monitoring to operate efficiently. You need processes that make sure that your digital healthcare devices are patched and configured securely. They should also support quick and smooth monitoring of any unusual behavior.

If your agency works with any third-party system, it must also meet Federal cybersecurity standards. This adds another layer of oversight to protect patient data from unexpected threats.

For example, a Federal hospital network implemented continuous monitoring of imaging devices and connected patient monitors. Its IT team uses these technologies to quickly identify and isolate potential intrusions. This enables them to protect patient data before things go south while maintaining clinical operations.

Increase Security Awareness Across the Organization

Technology alone isn’t enough. It needs the same level of collaboration from humans to efficiently protect healthcare data. For that, you need to launch security awareness programs to educate your employees on identifying phishing attempts, handling sensitive data and following proper protocols.

This step shows visible improvements in employee vigilance. Staff who understand the “why” behind security policies are more likely to follow them consistently, reducing risk for the entire organization.

Align People, Process and Technology

In cyber-resilient organizations, strong processes, capable people and reliable technology all work together to protect critical data at scale. While leadership support encourages accountability and consistency, clear procedures guide teams in responding to threats confidently.

When people, processes and technology collaborate, agencies are better prepared to handle cyberattacks. This approach also establishes an environment where patient data is protected at every step of care delivery.

How GRC Platforms Support Federal Healthcare Teams

Many Federal agencies today rely on flexible, no-code platforms that simplify risks, compliance and incident management. Healthcare teams usually include professionals who aren’t that tech-savvy. These tools allow them to track controls, document incidents and manage workflows without heavy IT involvement.

With an AI-powered GRC platform like Onspring, you can take advantage of an to automate your agency’s repetitive tasks and centralize its information. Free up your staff from administrative work and allow them to focus on proactive security measures.

The platform scales with your agency’s needs. As healthcare programs grow or regulations evolve, your workflows can be updated without overhauling the whole system. Onspring also offers GovCloud support for Government environments for cybersecurity teams to manage and automate security-related functions.

Discover How Technology Reduces Cybersecurity Risks at the Federal Level

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to get a free demo of the platform.

EHR Integration Emerges as a Top Priority for Healthcare Professionals: What Care Teams Are Saying

Posted on by Tim Boltz

As Healthcare organizations continue to shift to digital documentation, care teams are managing an influx of unorganized and complex sets of patient data, forcing them to reevaluate how effectively their current systems meet evolving digital demands.

Electronic Health Records (EHRs) have been transformative for the Healthcare industry, allowing organizations to shift from paper-based documentation to centralized digital systems that support more consistent workflows, reduce documentation errors and provide timely access to critical patient information.

As Healthcare organizations and patients transition to electronic systems, the integration of modern EHR technology has become essential to sustaining clinical and administrative workflows.

To assess how technology is shaping Healthcare operations, CHIME and ̽��Ƶ., The Trusted IT Solutions Provider for the Healthcare Industry™, surveyed EHR system users across various care environments, finding that nearly every Healthcare organization in the U.S. uses an EHR system and that many are prioritizing optimizing their EHR investments by integrating modern technologies that strengthen system performance and overall workflows.

Understanding the EHR Landscape Through Survey

In 2009, the U.S. Department of Health and Human Services passed the Health Information Technology for Economic and Clinical Health Act, which encouraged the meaningful adoption of Healthcare technology. The law supported nationwide EHR implementation to reduce documentation errors and streamline clinical and administrative processes. Since then, technology has significantly advanced, leaving many Healthcare organizations with legacy EHR systems.

Key Survey Findings

• 36 percent of respondents report satisfaction with their current systems
• 44 percent are actively exploring ways to optimize EHR performance
• 4 percent are in an active transition to a new system

The survey results indicate that most organizations prefer targeted enhancements rather than complete system replacements. This shift toward incremental improvement highlights a growing need for technologies that can extend the capabilities of existing EHR platforms. This creates a tremendous opportunity for industry partners and healthcare technology to make a real difference for care teams and patients nationwide.

What Healthcare Organizations Value Most

Healthcare organizations prioritize features that support daily operations and drive user adoption. Survey respondents ranked user experience and workflow productivity as their top considerations, emphasizing that even advanced systems cannot deliver value if clinicians and staff find them difficult to use.

Survey results showed that Healthcare professionals rank customizability (15.4 percent) and training support (15.2 percent) as their highest EHR priorities, followed by AI capabilities at 11.8 percent. Additional priorities included:

Customer-facing experience (12.0 percent)
Security (9.6 percent)
Cost efficiency (9.1 percent)
Interoperability (8.5 percent)
Easy integration (8.2 percent)
User experience (6.3 percent)
Workflow productivity (4.0 percent)

While cost and security remain essential requirements, they are no longer the primary factors influencing EHR decisions. Healthcare organizations expect this as standard and are placing greater emphasis on usability and adaptability

Unlocking Potential Through Interoperability

Interoperability emerged as a key priority in the survey, with healthcare organizations seeking ways to integrate new technologies into their existing EHR systems. The ability to share patient data across systems and care settings is essential for improving coordination and supporting timely clinical decisions.

Through ̽��Ƶ’s Healthcare Technology portfolio, partners like Google Cloud, Databricks and Broadcom help organizations integrate modern technology solutions into their existing EHR systems. These solutions enable systems to communicate effectively, supporting secure data exchange, analytics and care coordination without requiring full EHR replacement.

How AI Fits into Today’s EHR Environments

· Nearly 80 percent of Healthcare organizations use AI in their EHR systems

· 38.3 percent use natural language processing and dictation tools to reduce documentation workload

· Robotic process automation and large language models each account for 19.1 percent of use

As Healthcare teams turn to AI to improve efficiency, many organizations are adopting tools that support faster and more accurate clinical documentation. Solutions available through ̽��Ƶ’s AI and Healthcare portfolios help providers streamline note taking and reduce administrative workload. Partners such as Google Cloud and Bamboo Health use natural language processing to capture patient conversations and generate structured clinical notes, cutting documentation time and improving accuracy.

Customization For Administrative Excellence

Modern Healthcare organizations are rejecting one-size-fits-all approaches and instead adopting technology that can be tailored to their specific workflows. The survey found that 30 percent of respondents ranked customizability and training support as top priorities, indicating that successful technology adoption depends on tools that can adjust to each organization’s operational needs.

Solutions available through partners like VisualVault and Salesforce support administrative efficiency through automation, intuitive interfaces and seamless integrations. These capabilities help reduce manual workloads and allow Healthcare teams to focus more time on patient care.

Security: A Multi-Layered Imperative

Survey results show that 82 percent of Healthcare organizations use third-party cybersecurity or backup solutions in addition to their EHR’s native protections. This reflects the need for layered security approaches that address a range of threats and operational risks. Organizations can meet these needs through solutions available in ̽��Ƶ’s cybersecurity and Healthcare portfolios.

Industry leading partners like Cohesity, Broadcom and Datadog support Zero Trust architecture and NIST-aligned frameworks that strengthen data protection and recovery capabilities. These solutions integrate with existing EHR environments to provide immutable backups, disaster recovery, continuous monitoring and threat detection.

Additionally, SmartCare^TM, platform, also supports security needs through its cloud-based and Software as a Service deployment options, offering a single, web-based system that maintains current security standards and certifications.

Featured Solutions: Innovation in Action

As The Trusted IT Solutions Provider for the Healthcare Industry™, ̽��Ƶ offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. ̽��Ƶ works with a range of Healthcare technology partners that support EHR optimization across clinical and administrative environments.

FusionEHR: Integrated Care Across Specialties

Fusion Health’s premier EHR, FusionEHR, delivers integrated features ideal for medical, behavioral health, dental and optometry services, while adhering to industry requirements from NCCHC, ACA and PBNDS. The platform offers integrated user experience for customers, supporting configurable workflows and specialty applications that help organizations tailor documentation and clinical processes to their needs.

TechCare GO: Specialized Correctional Healthcare

��󳦲��’s TechCare GO extends the TechCare EHR platform into a browser-based tool designed for correctional Healthcare. It supports medication administration and clinical documentation in both connected and offline environments, enabling consistent care in various settings.

̽��Ƶ at Upcoming Healthcare Events

Explore the latest in healthcare cybersecurity at to better understand how organizations are protecting electronic health information across modern EHR environments.

Join industry leaders at to dive into the AI and cybersecurity innovations shaping next-generation EHR optimization and digital health transformation.

Ready To Optimize Your EHR System?

As EHR systems evolve from documentation tools to comprehensive care enablement platforms, organizations that strategically leverage partnerships and integrations will unlock their systems’ full potential, delivering exception, patient coordinated care.

Visit ̽��Ƶ’s Healthcare Technology portfolio to explore EHR solutions and enhancement technologies.

Get in touch with the Healthcare team at ̽��Ƶ to discuss which EHR solution is best for you; or download ̽��Ƶ’s Healthcare Buyer’s Guide to explore solutions that may align with your operational and clinical needs.

From Pilot to Production: Operationalizing Healthcare GenAI in Secure Multicloud Environments

Posted on by Geoffrey Glaser

Healthcare organizations are under immense pressure to shrink margins, tighten regulations, improve patient expectations and utilize increasingly complex data environments. While generative artificial intelligence (GenAI) has emerged as a powerful tool, most healthcare systems still struggle to move from experimentation to measurable outcomes. Leaders are asking the same questions: Where do we start? How do we ensure security and compliance? How fast should the Return on Investment (ROI) appear?

The answer is not simply selecting a model, it is building a strategy and infrastructure that transforms AI from a promising pilot into an enterprise engine for clinical, operational and financial improvement.

Start With High-Impact Use Cases that Deliver Early ROI

The path to operationalizing GenAI begins with use cases that are narrow enough to implement quickly, but meaningful enough to prove value. Start where measurable gains are most attainable, such as document processing, contract review, claims analysis, compliance workflows and call center optimization.

One of the strongest early candidates is Protected Health Information (PHI) de-identification, where AI can accelerate research access while protecting privacy. Many organizations are also applying GenAI to claims review, using models to flag missing attachments, coding inconsistencies or errors that commonly drive costly denials. With first-pass denial rates hovering in the 17–25% range industry-wide, automating this analysis can generate immediate financial return.

These targeted wins build executive confidence, secure budget and create organizational momentum, which is critical before expanding to more complex clinical or patient-facing scenarios.

Build Trust by Grounding the Model in Your Own Data

Accuracy and trust determine whether healthcare AI is adopted or ignored. General-purpose models are not sufficient for healthcare, where language is deeply nuanced and context dependent. Instead, organizations should ground GenAI in their own governed data sources, such as Electronic Health Records (EHRs), Customer Relationship Management (CRM) platforms, care summaries, research documents or internal policies.

To achieve this, many leaders are adopting Retrieval-Augmented Generation (RAG) with vector databases, which allows models to pull precise information from internal systems in real time. Vector databases are a foundational accelerator, enabling faster, more accurate retrieval across structured and unstructured data. This approach delivers three business advantages:

Higher accuracy and confidence in model responses
Stronger control of PHI and sensitive data
Traceability, which is essential for audits, appeals and clinical validation

Grounding the model in an organization’s own data turns GenAI from a creative tool into a trusted operational system.

Use a Secure Multicloud Strategy to Reduce Risk and Increase Agility

John Snow Labs, Operationalizing Healthcare GenAI blog, embedded image, 2025

To operationalize GenAI responsibly, healthcare organizations should design for security,compliance and flexibility from day one. When separating PHI and non-PHI workloads, a multicloud strategy helps healthcare organizations:

Isolate sensitive data to minimize breach impact and simplify governance
Reduce lock-in risk and leverage the strengths of different cloud platforms
Tap into more innovative options, since each cloud offers unique AI tooling
Optimize cost and performance by matching workloads to the right environment

Multicloud design also supports stronger compliance postures by enabling auditability, identity controls, monitoring and bias/hallucination safeguards, all of which must be proven to regulators and accrediting bodies.

Avoid “Pilot Purgatory” and Build a Path to Production

Many healthcare AI programs fail not because the technology underperforms, but because the organization never assigns ownership or a path to scale. To prevent “pilot purgatory,” short-term projects that drag on without measurable outcomes, organizations should:

Create a defined production roadmap before the pilot begins
Empower a cross-functional AI Center of Excellence (COE) to own outcomes
Secure both clinical and administrative stakeholders
Treat GenAI as an enterprise capability, not a one-off project

This shift enables the same investment to support multiple use cases, expanding impact while lowering cost per interaction over time.

Continuously Measure, Optimize and Expand

An operational GenAI program is never “set it and forget it.” It is important to continuously track Key Performance Indicators (KPIs) to guide optimization and justify expansion. Recommended KPIs include:

Cost per interaction
Accuracy and confidence
Time saved per task or workflow
Time to response (latency and model speed)
User satisfaction (providers, staff and patients)

By evaluating these metrics regularly, healthcare organizations can expand from early wins to enterprise scale, from research and development to patient support, revenue cycle, compliance and beyond.

Align People, Data and Infrastructure For AI Success

Technology alone is not the determining factor of AI success in the healthcare space, alignment is. Success requires a shared vision from leadership, responsible data groundwork, a secure multicloud foundation and continuous measurement to maintain trust and value. With the right approach, GenAI can improve patient satisfaction, strengthen trust, accelerate research and innovation, reduce administrative burden and deliver measurable ROI in weeks over years.

̽��Ƶ and John Snow Labs help healthcare leaders accelerate this journey, combining secure infrastructure, domain-specific healthcare AI and proven deployment models. To explore how your organization can operationalize GenAI safely and effectively, watch the full webinar, “Lessons Learned from Harnessing Healthcare Generative AI in a Hybrid Multi-Cloud Environment.”

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including John Snow Labs, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

From Data Silos to Life-Saving Decisions: How Technology is Transforming Healthcare Delivery

Posted on by Tim Boltz

Healthcare organizations continuously navigate complex challenges as patient demand grows. Imaging volumes are rising faster than radiology capacity can scale. Public health agencies manage vast amounts of data across disconnected systems. Administrative tasks consume time that healthcare staff would rather spend on patient care.

These operational realities create opportunities for technology to make a meaningful difference. Leading healthcare organizations are already transforming these challenges into improved outcomes through strategic technology deployments enabled by streamlined procurement.

As The Trusted IT Solutions Provider for the Healthcare Industry™, ̽��Ƶ offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. Streamlined procurement is available through ̽��Ƶ’s reseller partners and numerous contract vehicles including GSA Schedule, NASPO ValuePoint, E&I Cooperative Services and The Quilt.

Key Takeaways:

AI diagnostics improve radiology efficiently by addressing the looming .
Unified data platforms enable of emergency departments to share real-time data with the CDC.
Automated workflows , freeing staff for patient care.
Zero Trust security protects patient data while enabling hybrid cloud operations.
Streamlined procurement accelerates deployment from months to weeks.

AI-Powered Diagnostics: Addressing the Radiology Crisis

By 2023 the as imaging volumes rise 5% annually while residency positions increase just 2%.

At Northwestern Medicine, Dr. Mozziyar Etemadi, Clinical Director of Advanced Technologies, deployed a generative AI solution with Dell Technologies and NVIDIA that analyzes chest X-rays and generates draft reports instantaneously. Results: radiology efficiency improved by up to 40% without compromising diagnostic accuracy. The system flagged unexpected pneumothorax cases with – lifesaving in emergency settings.

The technology runs on Dell PowerEdge XE9680 servers with NVIDIA H100 GPUs, deployed on premises to maintain HIPAA compliance. Northwestern is now developing predictive models for entire electronic records.

Public Health Surveillance: Rapid Outbreak Response

The CDC faced a critical challenge: essential health data trapped in disconnected silos across thousands of facilities.

The CDC’s partnership with Cloudera created a unified platform consolidating data from hospitals, laboratories and wastewater testing sites. More than 80% of non-federal emergency departments now send data to CDC, enabling comprehensive threat monitoring. When measles spiked across 15 states in 2025, officials had integrated visualizations within days.

The CDC’s One CDC Data Platform (1CDP), established in 2024, provides state, tribal, local and territorial agencies with streamlined access to core datasets and analytics, enabling faster disease trend detection and proactive strategies.

Accelerating Cancer Research Collaboration

The National Cancer Institute partnered with Google Cloud and Barnacle AI to introduce NanCI – a platform leveraging AI-driven recommendations to connect researchers with collaboration opportunities, literature and events. The solution demonstrates how AI extends beyond clinical care to accelerate scientific discovery across Government, Education and Healthcare sectors.

Operational Excellence: Freeing Caregivers to Care

Workforce coordination: Healthcare organizations use BlackBerry AtHoc, available through ̽��Ƶ’s reseller network and contract vehicles, to streamline staffing and scheduling processes. The event management platform helps ensure personnel are coordinated efficiently across departments which is essential for maintaining high standards of patient care.

Financial automation: Community Health Centers of Florida implemented Laserfiche’s enterprise content management system, cutting processing time by 50% and eliminating manual data entry. “I cannot fathom processing the current volume of invoices ‘the old way,’” said Dee Bradshaw, director of purchasing. “Laserfiche has cut our processing time in half.”

Every hour freed from administrative burdens is an hour caregivers get back to spend with their patients.

Modern, Secure Infrastructure

California Department of State Hospitals deployed Rubrik’s data management platform to integrate legacy systems with modern hybrid cloud environments. Rubrik’s Zero Trust Data Security framework minimized ransomware vulnerability while ensuring Federal compliance.

St. Luke’s University Healthcare Network used Rubrik for faster backups, near-instant recovery and seamless hybrid IT integration, strengthening cyber defenses while freeing IT staff to support clinical teams.

Federal agencies, State and Local Governments and Education institutions face similar Zero Trust security and hybrid cloud integration requirements.

Explore ̽��Ƶ’s cybersecurity solutions at .

Meeting Demand at Scale

NYC Health + Hospitals deployed Snowflake’s Data Cloud which consolidated separate data sources into a unified platform. This integration eradicated silos, provided real-time visibility and enabled data-driven decisions at the point of care for vulnerable populations.

The ̽��Ƶ Advantage

For Healthcare Organizations: Faster access to solutions, simplified procurement through pre-negotiated contracts, integrated solutions across technology verticals, dedicated healthcare technology expertise. Simplify your organization’s procurement journey with ̽��Ƶ.

For Reseller Partners: Opportunities to deliver comprehensive solutions, access to leading vendors through established contract vehicles, sales enablement and marketing support. Become a ̽��Ƶ reseller partner.

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Insights from MESC: Modernization, AI and the Cloud��

Posted on by Tim Boltz

At this year’s Medicaid Enterprise Systems Conference (MESC), held August 11-14 in Milwaukee, Wisconsin, Federal officials, technology partners and thought leaders joined to share insights on modernization, artificial intelligence (AI), fraud prevention and cloud adoption.

̽��Ƶ attended MESC alongside its partners to facilitate connections between healthcare systems and technology vendors.

Here are the top five insights from MESC.

1. Unified Observability Enables Modernization

As agencies modernize, observability is becoming critical to success. In the session “You Can’t Modernize What You Can’t See: Observability for Medicaid Cloud Future,” Datadog speakers Greg Reeder, the Senior Director of the Public Sector Marketing, Ryan Gault, the Regional Sales Director for SLED East, and Abe Rosloff, the Enterprise Solution Engineer for SLED, discussed best practices for the cloud. Observability reduces the time it takes teams to find system bottlenecks. With �ٲ��ٲ��ǲ�’s unified observability SaaS platform, agencies can utilize real-time monitoring to oversee critical systems. The has released new modules that run alongside 30 year old modular systems. Onboarding the cloud to legacy systems can be tricky, so �ٲ��ٲ��ǲ�’s unified platform provides a layer of visibility that empowers users with insight in the form of an easy-to-use dashboard. Working with a large Medicaid agency on both coasts under contracts with the , the and OMNIA, Datadog helps pinpoint issues quickly through their SaaS platform.

With �ٲ��ٲ��ǲ�’s unified monitoring, agencies gain real-time visibility into user interactions to proactively identify and address breaches before they arise.

2. AI Use Cases for Medicaid��

In the session “Avoiding AI Landmines in Medicaid: What Worked, What Didn’t and What We’ve Learned,” speakers Eng Tan and Cynthia Afkhami from discussed the pros and cons of various AI usages. AHS discussed its digital journey in AI adoption; it took three months for users to learn terminology, three months to build the model and six to nine months to test it. While building the AI was easy, the production stage was more challenging. Instead of traditional IT testing, AI requires strategic, human-centered testing. In one case study, AHS designed , a “digital butler” for customer support representatives that helped translate notes between Spanish and English. This resulted in reduced wait times, a 3% increase in scores and reduced attrition. AHS attributes this success to relevant management buy-ins, IT management support, staff participation, senior management support and focused training. Ultimately, AHS recommends having a solid foundation of data management, governance frameworks and team training before implementing AI.

Learn how AI can help streamline processes to build stronger, more resilient healthcare systems with ̽��Ƶ’s AI solutions.

3. How GenAI Can Embolden Healthcare��

In the session “Unleashing the Power of Generative AI on Care Planning in Healthcare,” speakers Mason Tanaka, the Deputy Commissioner and CIO from Alabama Medicaid Agency, and Andy Pitman, the State and Local Government Health and Human Services (HHS) Strategy Director for Microsoft, showcased ’s&�Բ��; goals and guiding principles behind its new generative AI (genAI) platform, AI Continuum. In collaboration with Microsoft, Alabama Medicaid aims to bring genAI into healthcare planning by operationalizing various tools in testing and production to help teams reclaim ownership of the planning and design process. Through AI Continuum, nurses and social workers were able to support clinical decisions and use risk stratification predictive analytics to secure better patient outcomes.

Leverage genAI insights and maximize your data’s potential through �ٲ��ٲ��’s optimized data infrastructure and scalable, predictive machine learning models.��

4. Modernization, the Cloud and AI

In the session “CMS-5: MES State of States,” speakers from CMS Ed Dolly, the Deputy Director for Data Systems Group, and Eugene Gabriyelov, the Director Division of State Systems, reviewed the progress made in Medicaid Enterprise Systems (MES) and future goals.

The top takeaways include:

The time spent creating modular certifications has been reduced from two years to fourteen months

With over 1,300 MES submissions received annually, timely operational reporting has become more significant

Metric reporting is essential for continued funding

Looking ahead to the upcoming fiscal year, goals include receiving operational metric reports from each state, standardizing interfaces, expanding AI usage and increasing collaboration across the nation.

Modernize with confidence to improve efficiency, transparency and accountability. Visit Broadcom’s page to learn how their solutions support interoperability.

5. Fighting Fraud with DNA Prevention

In the session “Fighting fraud: Insights from Office of Inspector General (OIG)’s internally developed Fraud, Waste and Misuse (FWM) early warning system,” speakers Wei-Shin Wang, the Bureau Chief at the Bureau of Fraud Science and Technology, Douglas Steinley, data analytics consultant at the University of Missouri, Ben Xu, the Sr. Developer at the Bureau of Fraud Science and Technology, and Jon DeShazo, the Senior Lead Consultant at Leads, discussed Dynamic Network Analysis (DNA)-powered fraud prevention. The FWM early warning system, which was built with NTT DATA and powered by DNA, saw successes in uncovering fraud patterns early on. Within the system, there are modules for profiles, reports and inquiries, advanced surveillance and risk detection, audit support and system usability. Early results from this training illustrate that automation and analytics can strengthen program integrity while reducing manual oversight.

Leverage trusted data analytics and streamlined operations with ��ܾ��ڲ��’s trusted solutions in data analytics and fraud-resilient technology.

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As medical systems evolve, the common theme is clear: innovation must balance modernization with accountability, human-centered design and measurable outcomes.

̽��Ƶ’s healthcare portfolio equips agencies with cloud, genAI and analytics solutions that streamline operations and strengthen program integrity. By improving efficiency, reducing fraud and eradicating unnecessary costs, agencies can reinvest in sustainable healthcare that prioritizes improving patient outcomes.

Looking to modernize with the latest in healthcare technology? Visit ̽��Ƶ’s broad range of contract vehicles to access Government healthcare solutions quickly and confidently.

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Ready to explore healthcare technology solutions?

1. Unified Observability Enables Modernization

2. AI Use Cases for Medicaid��

3. How GenAI Can Embolden Healthcare��

4. Modernization, the Cloud and AI

5. Fighting Fraud with DNA Prevention

The Revenue Cycle��

Rural Healt�󳦲��հ��Բ��ڴǰ��پ��ǲ��

̽��Ƶ at Upcoming Healthcare Events

The ̽��Ƶ Advantage