Cerner to take over IT department at Texas hospital

An agreement for Cerner to take over the information technology department at a Texas hospital was approved last week, according to a report by the Odessa American.

The board of directors for Ector County Hospital District approved the agreement between Cerner and the Medical Center Health System (MCHS) in Odessa, Texas, during a meeting Thursday, Aug. 16. 

According to the report, the hospital's IT staff will have an opportunity to work directly for Cerner—starting Sept. 10—and receive additional training and resources. Cerner will also assume the day-to-day management of the hospital's electronic health records (EHR), IT operations and staff. 

"By enlisting Cerner to handle IT service delivery, MCHS will have the opportunity to optimize resources and drive efficiencies to help improve patient care," the report said, citing a press release. "This expanded relationship will help the health system manage its Cerner Millennium healthcare IT platform, which provides doctors and nurses with a digital record that brings together a person’s health information for an up-to-date view of their well-being." 

To read the full report, click the link below:

""

Danielle covers Clinical Innovation & Technology as a senior news writer for TriMed Media. Previously, she worked as a news reporter in northeast Missouri and earned a journalism degree from the University of Illinois at Urbana-Champaign. She's also a huge fan of the Chicago Cubs, Bears and Bulls. 

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.”