Technologists who worry that the latest AI systems can potentially “outsmart their makers and enslave humanity” are ignoring the more realistic concerns that challenge the healthcare community, according to Mayo Clinic Platform researchers Paul Cerrato and John Halamka, MD.
“A Profound Impact”: How NLP Fits into the Digital Health Ecosystem
“A Step in the Right Direction”: How Prompt Engineering Can Improve GenAI
Generative AI Benefits: We’ve Barely Scratched the Surface
“Data Behind Glass”: Exploring a Federated Model for Data Management
Is It Time to Incorporate Large Language Models into EHRs?
“Proceed with Humility”: The Keys to Moving Forward with Generative AI
Large language models offer great potential for improving care and efficiency, but “that must be done within guardrails and guidelines so that we do no digital harm,” said Paul Cerrato and John Halamka, MD. In this piece, they discuss the key components for successful development and deployment of AI tools.
“A Moving Target”: How Digital Tools Can Earn Clinicians’ Trust
The Power of “Reach”: Why Mayo Clinic Platform’s Data Network Might Have an Edge
Through partnerships with health systems, payers, medical device companies, and academic medical centers, Mayo Clinic Platform_Connect aims to find better ways to diagnose, treat, and prevent disease, according to John Halamka, MD. How? “By connecting clinical data through a federated, secure architecture.”