Becker’s Healthcare Podcast Dr. Nigam Shah, Chief Data Scientist at Stanford Health Care
Jul 5, 2025
Dr. Nigam Shah, Chief Data Scientist at Stanford Health Care, specializes in applying data science to improve patient outcomes. He delves into the Green Button Project, emphasizing the integration of AI for real-time reporting in outpatient care. Shah discusses how ambient AI can transform patient-physician interactions, allowing for more meaningful engagements. He also tackles the technical challenges faced when scaling these innovations, ultimately highlighting AI's potential to streamline processes and enhance patient engagement across healthcare systems.
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Rapid Real-World Evidence Reporting
- Stanford reduced real-world evidence report turnaround from nine months to under two days, enabling bedside physician queries.
- Atropos Health further shortened report production to under four hours, improving clinical decision-making speed.
Fusing AI Listening and Evidence
- Combining ambient AI transcription and rapid observational study generation enables clinical evidence delivery within minutes during patient visits.
- This integration offers faster, data-driven insights that can transform point-of-care decisions.
Community Physicians Embrace AI Pilot
- Community practice physicians outside the university eagerly anticipate using real-world evidence on demand in outpatient care.
- Stanford's Atropos service already handles about 1,200 consultations with report production within a day, mostly inpatient.