Medical Economics April 26, 2024
Todd Shryock

AI may be good at some tasks in the health care industry, but coding isn’t currently one of them

In a study published in the April 19 online issue of NEJM AI, researchers at the Icahn School of Medicine at Mount Sinai found significant limitations in the capability of state-of-the-art artificial intelligence systems, specifically large language models (LLMs), to accurately perform medical coding tasks.

The study, led by Dr. Ali Soroush and his team, extracted a comprehensive list of over 27,000 unique diagnosis and procedure codes from a year’s worth of routine care data within the Mount Sinai Health System. Utilizing descriptions associated with each code, researchers tasked prominent LLMs from OpenAI, Google, and Meta to generate the most precise...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

Continue Reading

 
Topics: AI (Artificial Intelligence), HIM (Health Inf Mgmt), Survey / Study, Technology, Trends
Related Articles:
The case for human-centered AI
European Commission Approves Nvidia’s Proposed Acquisition of Run:ai
How Health Systems Can Collaborate on AI Tools
The Future Talent Equation: How To Identify And Retain Talent In The Age Of AI
A Roadmap For AI In Education: Turning Disruption Into Opportunity

Share This Article