Healthcare Innovation April 26, 2021
Mark Hagland

A study of the use of artificial intelligence-fueled analytics shows that avoidable hospital readmissions is an area of fertile ground for quality leaders in hospital, an adviser to the study confirms

Can the power of artificial intelligence-facilitated analytics help to reduce avoidable readmissions? It appears so. In fact, a study by clinician researchers at the Rochester, Minnesota-based Mayo Clinic Health System is shedding some light on the subject.

An article entitled “Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce a Hospital Readmissions at a Regional Hospital,” published in the August 2020 issue of Applied Clinical Informatics, speaks to the issue. Written by Santiago Romero-Brufau, M.D., Ph.D., Kirk D. Wyatt, M.D., Patricia Boyum, Mindy Mickelson, Matthew Moore, and Cheristi Cognetta-Rieke,...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Analytics, Health System / Hospital, Interview / Q&A, Provider, Survey / Study, Technology, Trends
March Fundraising Roundup: 7 Provider Tech Startups That Closed Rounds This Month
Google DeepMind unveils ‘superhuman’ AI system that excels in fact-checking, saving costs and improving accuracy
Katie Couric Talks Colon Cancer, Health Equity And AI
5 tips on AI adoption from a frontline physician champion
Survey of Oncologists Finds Agreement, Concerns Over AI Use

Share This Article