Summary
This session focuses on overcoming barriers to AI adoption in value-based care, particularly around ROI measurement and incentivization. Speakers discussed the importance of addressing fragmentation in healthcare systems and aligning incentives for providers and patients to promote better outcomes. They also explore examples of successful value-based care models that incorporate AI and preventative measures.
Key Topics
5 key topics from this session at Future Health Summit (FHS). Thicker branches were mentioned more often in the talk.
Table 8: AI in Clinical Decision-Making and Workforce Evolution (PwC)
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Key Takeaways
- Focus on outcome-based metrics beyond cost savings for AI ROI.
- Eliminate care that doesn't provide value by leveraging AI to analyze data.
- Incentivize both providers and patients for engaging in value-based care programs.
- Address fragmentation and promote interoperability in healthcare systems.
Pinpointing Healthcare Challenges
“But the biggest issue is there is no incentivization to the health care providers to be able to do that because health care institutions are return on investment, ROI.”
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