Medscape January 15, 2025
Darius Tahir

Preparing cancer patients for difficult decisions is an oncologist’s job. They don’t always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk about a patient’s treatment and end-of-life preferences by an artificially intelligent algorithm that predicts the chances of death.

But it’s far from being a set-it-and-forget-it tool. A routine tech checkup revealed the algorithm decayed during the Covid-19 pandemic, getting 7 percentage points worse at predicting who would die, according to a 2022 study.

There were likely real-life impacts. Ravi Parikh, an Emory University oncologist who was the study’s lead author, told KFF Health News the tool failed hundreds of times to prompt doctors to initiate that important discussion — possibly...

Today's Sponsors

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Provider, Technology
Agile Still Remains Relevant In 2025 Amid The AI Hype
Company Culture Is Key To Successful AI Implementations, But What Does It Look Like?
Why AI SaaS Fails In To Deliver Innovation Fast—And What To Do About It
Axios interview: Chris Lehane on OpenAI's policy strategy for new Trump era
Why ChatGPT still falls short in creativity

Share This Article