Management

This page includes content on healthcare management, including health system, hospital, department and clinic business management and administration. Areas of focus are on cardiology and radiology department business administration. Subcategories covered in this section include healthcare economics, reimbursement, leadership, mergers and acquisitions, policy and regulations, practice management, quality, staffing, and supply chain.

MPT completes 5-hospital sale to Prime Healthcare

Included in the real estate exchange is St. Francis Medical Center in California and Saint Clare's Health network of acute and behavioral facilities in New Jersey.

physician money payments dollars

Payments to FDA advisory panel questioned

A recent investigation from KFF Health News about payments to members of an FDA panel evaluating an Abbott Laboratories cardiac device is raising eyebrows.

artificial intelligence AI for talk therapy

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Houston Texas

RadNet acquiring 6 imaging centers, adding $15M in annual revenue

American Health Imaging, a partner with the larger private equity-backed US Radiology Specialists, is selling the locations. 

Aalpen Patel MedQuest Associates

Radiology provider MedQuest Associates names IR specialist as new chief clinical and innovation officer

Aalpen Patel, MD, MBA, joined the Georgia-based imaging center operator in March, vacating his post as a practicing physician with Geisinger Health System. 

Thumbnail

Practice must pay $14M after table collapses under patient during imaging exam, jury rules

The original inciting incident occurred in July 2014, when 58-year-old James Griswold visited the Connecticut provider group for a nuclear stress imaging test. 

wallet purse broke bankrupt

Small practices left vulnerable after Change Healthcare cyberattack, with some considering bankruptcy

"These survey data show, in stark terms, that practices will close because of this incident," said AMA President Jesse Ehrenfeld, MD.

 

Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses

Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases).