Скачать или смотреть How AI Helps Physicians Focus on Patients and Cut Healthcare Costs?

In this episode, Arun Ravi, Senior Director of Health AI at Microsoft, joins Binny Mathews to explore how AI is revolutionizing the healthcare landscape by improving physician efficiency and reducing system-wide costs.

Guest Background: Arun leads AI product and GTM initiatives at Microsoft that are focused on transforming healthcare. Previously at AWS, he built solutions like Amazon Comprehend Medical. As a founder of a digital therapeutics startup, Arun brings deep expertise across clinical, payer, and pharma domains.

What's Inside?

✅ Dragon Co-Pilot: Automating clinical note-taking to free up physician time
✅ Real-time agentic AI: Auto-handling reimbursements between providers and payers
✅ LLMs in research: De-identifying clinical data to safely train healthcare models
✅ Healthcare GTM insights: Startup lessons on scaling within Big Tech ecosystems
✅ The future of preventive and behavioral health powered by AI

Key Takeaways:

1. Workflow integration is critical: AI must fit naturally into the physician’s existing tools
2. Reimbursement alignment drives faster adoption than cost savings alone
3. Human-in-the-loop remains essential, especially for high-stakes clinical decisions
4. Early AI wins lie in unblocking administrative burdens and improving access
5. Focused, vertical-specific models (SLMs) are key to real-world healthcare impact

This episode is essential listening for healthcare innovators, AI entrepreneurs, and anyone exploring how AI can empower providers and drive systemic change across the care continuum.

For full show notes, visit- https://bit.ly/4kkdV0j

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🎧Check out this episode on Apple Podcasts- https://apple.co/44J4wes

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TIMESTAMPS
00:00 Arun Ravi
01:42 AI in Clinical Note-Taking
03:10 PHI De-ID & Research with LLMs
04:50 Startup GTM vs Big Tech GTM
06:09 Scaling via Cloud Marketplaces
07:10 Agentic AI for Reimbursements
08:51 AI’s ROI in Clinical Workflows
10:16 AI Accuracy in Regulated Care
11:22 EHR Integration & Adoption
13:00 Dragon Co-Pilot & Nuance Merge
13:58 Founding Mevoked for Mental Health
14:50 CBT-Based Interventions in Mevoked
16:40 GenAI in Mental Health Apps
18:14 Healthcare Startup Ideas Today
19:16 Radiology & AI-Driven Diagnosis
20:07 Deployment Gaps in GenAI
21:12 Why Tech Moves Faster Than Users
22:48 Pain Points from Clinicians
24:04 Workflow AI = More Patient Time
25:04 AI Adoption Hinges on Incentives
26:03 AI in Rural & Pediatric Care
27:18 Healthcare Workflow Walkthrough
30:25 AI in Pharma & Clinical Trials
32:48 Contrarian Views on AI in Health
34:44 Role of Guardrails & Testing
36:01 Where Human Judgment Still Wins
37:03 Speeding up Drug Development
37:55 Behavioral Nudges for Health
39:12 Preventive Health & Early Screening
40:00 Product Focus vs Possibility Scope
41:22 Building Product at Microsoft
43:04 Importance of Private Preview
44:00 Closing Thoughts & CTA's


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