The main difference between MedPAC and CMS estimates of uncorrected coding intensity is that MedPAC’s estimate accounts for the upward trend in coding intensity.

Please provide your email address to receive an email when new articles are posted on . BMI, tobacco use and family history were the strongest predictors for CRC. The model scored patients on a ...

The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling ...

Elizabeth Cooney is a cardiovascular disease reporter at STAT, covering heart, stroke, and metabolic conditions. You can reach Liz on Signal at LizC.22. Just over a year ago the PREVENT calculator to ...

Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.