National Academy of Medicine Experts on AI:
Here's What They Said.
The National Academy of Medicine (NAM) met to consider the Academy's potential role in advancing the use of AI / machine learning to improve care.
They gathered experts from Cyft, Google, Anthem, Optum Labs, Aetna, NIH, Epic, Johns Hopkins, Vanderbilt, Stanford, Northeastern, Digital Reasoning, National Institute on Drug Abuse, PCORI, the NSF, VA, IBM, Mayo Clinic, Moore Foundation, MIT, FDA, HCA, Precision Health Intelligence, Sanofi, Cerner, Health Resources & Services Administration, and Booz Allen Hamilton.
I was asked to summarize key takeaways and provide recommendations to end the conference. On the flight home I thought, this is exactly the type of dialog we need to be having - a hype free, down to earth conversation about what it really takes to use data to improve care. With the generous permission of NAM leadership it’s my pleasure to share the collective lessons learned, opportunities, and challenges of making AI / machine learning finally meet its full potential in improving healthcare.
- Leonard D'Avolio, PhD, Assistant Professor, Harvard Medical School & Brigham and Women’s Hospital