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Building Responsible AI in Healthcare: Why Data Security and Governance Must Come First
Hosted By: AvePoint & 探花视频
As artificial intelligence becomes more deeply embedded in healthcare delivery, ensuring that AI initiatives are built on a foundation of trust, security, and compliance is critical. New proposed HIPAA modifications and evolving AI regulations are prompting healthcare organizations to re-evaluate how they manage sensitive data—especially as they adopt AI to support clinical decision-making, patient engagement, and operational efficiency.
This webinar will explore the challenges and opportunities of implementing responsible AI in a highly regulated healthcare environment. We will examine how healthcare providers can effectively govern both structured and unstructured data across cloud and hybrid environments, support transparency in AI outputs, and maintain compliance with regulations like HIPAA and HITECH.
We will discuss practical strategies for:
- Building stronger data governance frameworks to support responsible AI use
- Addressing challenges with unstructured data, including notes, shared documents, and communications
- Ensuring appropriate access controls and auditability for AI-driven workflows
- Monitoring data movement and flagging potential compliance risks in real time
- Aligning data practices with both regulatory expectations and patient trust
With insights grounded in real-world experience, this webinar will provide a roadmap for healthcare organizations looking to balance innovation with accountability in an AI-powered future.