How Responsible AI can Boost Patient Outcomes

How Responsible AI can Boost Patient Outcomes

The content discusses the critical role of responsible AI in healthcare, particularly focusing on transparency, fairness, and ethical considerations. Lisa Jarrett, an AI expert, highlights the need for incorporating responsible AI principles in the early stages of planning, customer use, and ongoing management. The session at HIMSS24 explores legislative developments, industry principles, and required practices for responsible AI in clinical decision support. It emphasizes active collaboration with clinicians and users to address diverse perspectives and concerns. The importance of explainability, data security, and privacy is highlighted for building trust in AI-enabled healthcare systems. The session underscores the transformative opportunities and the vital role of clinicians in shaping responsible AI in clinical decision support.

Medigy Insights

Lisa Jarrett, an AI expert at PointClickCare, sheds light on responsible AI's pivotal role in healthcare during her HIMSS24 session. Emphasizing transparency, fairness, and ethical considerations, she urges early incorporation of responsible AI principles in planning and customer use. Collaboration with clinicians is crucial to address diverse concerns. Legislative guidance, industry principles, and data security are pivotal for trust-building. The session underscores clinician involvement in identifying transformative AI opportunities and raising responsible AI standards in clinical decision support. The focus on explainability and understanding behind AI systems is crucial for effective adoption and user trust.


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