Summary
The session focuses on overcoming barriers to AI adoption in value-based care, emphasizing ROI measurement beyond cost savings. Key challenges include misaligned incentives, medical waste, care variations, data fragmentation and how technology and incentives can improve outcomes. Participants explore practical solutions and models for better healthcare delivery.
Key Topics
5 key topics from this session at Future Health Summit (FHS). Thicker branches were mentioned more often in the talk.
Table 1: Value-Based Care, ROI & Financing Models for AI (GE HealthCare)
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Key Takeaways
- Incentivize both providers and patients for value-based care adoption.
- Use AI to identify and eliminate non-value-added care.
- Focus on outcome-based payments to drive value.
- Align incentives to reduce medical waste and overutilization.
Diabetic Passport Concept
“If you think about value based care, basically, what you are trying to do is eliminate care that is not value based.”
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Table 2: Value-Based Care, ROI & Financing Models for AI (GE HealthCare)
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