Self-Funded How AI is Predicting Catastrophic Claims (Before They Happen) | with Sasha Gribov
18 snips
Nov 4, 2025 Sasha Gribov, founder of Milu Health, is revolutionizing healthcare with AI-driven 'early warning' systems. He explains how AI can predict surgeries up to 90 days in advance, enabling proactive patient outreach. Gribov discusses the necessity of integrating health data to identify care needs before they escalate into catastrophic claims. He passionately argues that AI will augment doctors, enhancing care rather than replacing human expertise. Tune in for insights on building a forward-looking healthcare system that saves lives and cuts costs!
AI Snips
Chapters
Transcript
Episode notes
Low Utilization Hides Benefit Value
- Employers and TPAs often build great benefits but suffer low utilization.
- A proactive system that identifies members in need can dramatically increase use of high-value solutions.
Predicting Surgeries Months Ahead
- Milu can detect many surgeries months before they occur by spotting escalating symptoms in records.
- In a study they caught ~80% of surgeries with an average 90-day lead time.
Iterate AI With Clinical Feedback
- Iteratively test and refine AI algorithms with clinician review to reduce false positives.
- Treat daily failures as learning opportunities to improve signal quality.