#296

August 15, 2024 Jason Barry 0 min read
  1. KFF: MA plans denied 7.4% of prior authorizations, 83.2% of denials overturned.
  2. Elevance, Clayton Dubilier, and Rice launch Mosaic Health primary care network.
  3. Steward offloads physician group to Rural Healthcare for $245M.
  4. NYT: Summer heat creates obstacles for mail-order pharmacies. 
  5. Appeals court upholds No Surprises ruling, potentially strengthening providers.
  6. Convicted murderer escapes during UNC Hospital gastroenterology visit.
  7. Prospect Medical sends Crozer Health system to CHA Partners. 
  8. Physician burnout is down, but excessive “pajama time” work persists.
  9. Conway Medical Center cancels $161M hospital, launches emergency center.
  10. Private equity healthcare activity down again in Q2, but rebound expected.
Get the top digital health stories right in your inbox

You might also like

ARISE

Artificial Intelligence January 22, 2026

ARISE Maps the State of Clinical AI January 22, 2026

There have probably been hundreds of reports on the medical AI landscape, but there’s only been one State of Clinical AI from the rockstar team at ARISE. The AI opus delivers the most complete review we’ve seen of a field that’s moving faster than its evaluation practices. It looked at the most influential clinical AI […]

Anthropic vs OpenAI

Artificial Intelligence January 15, 2026

Anthropic and OpenAI Set Sights on Providers January 15, 2026

Digital health has some fresh competition. Less than a week after OpenAI launched ChatGPT Health, Anthropic crashed the party with the grand debut of Claude for Healthcare.  Player 2 has entered the fight. Anthropic’s headlining feature for consumers is identical to ChatGPT Health – the answers are grounded in the patient’s own medical history. Claude […]

MIT Study

Artificial Intelligence January 12, 2026

Foundation Models Can Compromise Patient Privacy January 12, 2026

Foundation models trained on EHR data hold massive potential for clinical applications, but a new study out of MIT shows that they might have just as much potential to violate patient privacy. Generalized knowledge makes better predictions. EHR foundation models normally draw on a collection of de-identified patient records to produce their outputs. Therein lies […]