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JAMA Medical News
AI and Clinical Practice—Discovery and Scaling Findings From Large, Multicenter Health Care Datasets
Jan 24, 2024
Atul Butte, Director of the Bakar Computational Health Sciences Institute at UCSF, discusses using AI to democratize healthcare, utilizing large datasets for comparative effectiveness research, ensuring patient data privacy, improving healthcare outcomes through data analysis, and addressing the risks of AI language model extrapolation.
21:04
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Quick takeaways
- Real-world data can enhance medical practice by evaluating treatment effectiveness beyond RCTs.
- AI tools can scale privilege and improve access to quality care for all patients.
Deep dives
The Use of Real-World Data in Research
Dr. Atul Butte discusses the importance of using real-world data in research and how it can help improve the practice of medicine. With a centralized data warehouse containing information from 9.1 million patients, the University of California is able to compare and contrast different treatments and interventions to assess their effectiveness.
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Discover
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