COVID-19 puts 1,400 out of work at Michigan Medicine

Michigan Medicine is furloughing or laying off around 1,400 fulltime employees and instituting a hiring freeze that will leave 300 current job openings unfilled.

In an internal news item, the University of Michigan-affiliated health system says the moves were necessitated by its projections of losses topping $230 million this fiscal year.

The institution names the COVID-19 crisis as the cause of the contraction, stating the sudden suspension of elective procedures and regular services had crushing financial implications.

Leadership was not spared, as signaled by CEO Marschall S. Runge’s acceptance of a 20% reduction in his own compensation and his request that department chairs and other leaders also accept pay cuts.

“While we don’t take any of these decisions lightly, we believe it is a preferable outcome to broad salary reductions and allows us to preserve as many jobs as possible,” Runge says in the news item. “The important decisions we are making at this critical juncture of the pandemic are to ensure a strong and more secure future for the health system, the medical school, and our partners and affiliates.”

Dave Pearson

Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”