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How Might Lessons Learned from EHR Implementation Applied to AI
Dr. Eric Poon’s webinar highlighted lessons from Electronic Health Record (EHR) adoption to guide AI integration in healthcare. He emphasized human-centered design, strong governance, and addressing challenges like cybersecurity and burnout, while encouraging pilot projects and collaboration for successful AI use.
- What We Have Done -
Key Takeaways
- EHR Lessons for AI: Emphasizing safety, quality, and co-designing solutions with users as central tenets, Dr. Poon noted that the principles guiding EHR adoption are still relevant for AI.
- Governance Framework: Duke Health’s ABCDS process ensures structured evaluation, monitoring, and adaptation of AI technologies to organizational goals.
- Challenges and Opportunities: Cybersecurity, clinician burnout, and alignment with business processes remain critical concerns. However, AI presents opportunities to transform workflows, enhance decision-making, and support clinicians.
- Conclusion: Dr. Poon concluded by advocating for low-cost, low-risk pilots, encouraging agility in AI deployment, and reinforcing clinicians’ roles as critical thinkers. His message underscored the need for collaboration, leadership, and a growth mindset to drive AI innovation in healthcare.
