We’ve all seen the hype.
AI will revolutionize health care. It will cut documentation time. Improve diagnoses. Save lives. Maybe even replace doctors.
But here’s what I know after 11 years as a hospitalist: Hype without evidence is dangerous. And AI—especially in medicine—isn’t just software. It’s treatment.
If we’re going to let AI influence life-or-death decisions, it needs to meet the same standard as any clinical intervention. That means rigorous trials, transparent design, …
Read more…
Everyone wants the best model. The flashiest algorithm. The one with the highest AUC and the sexiest machine learning buzzword attached.
But here’s the problem: In hospital care, especially at midsize institutions, the “best” model on paper might be the worst fit for your people, your patients, and your workflow.
As a hospitalist and data-minded clinician, I’ve been exploring how we can use AI to reduce 30-day readmissions—an outcome tied not just …
Read more…
When I was a new hospitalist in a tertiary center, I once told a colleague, “Looks like I got an easy admit.” He just stared at me.
It didn’t take long to understand why.
Vitals can be stable. Labs can look clean. But patients—especially those we assume are “simple”—rarely are. There’s a language beyond numbers: the way a patient breathes, a hesitation in their tone, the look in a spouse’s eye. Over …
Read more…
