Editor's Note
The University of Michigan’s health system has 34 artificial intelligence (AI) and machine learning research projects underway, 28 of which have principal investigators, the August 12 Health Data Management reports.
Projects include analyzing electronic health records (EHRs), ECG monitor data, and analytics to predict acute hemodynamic instability and using machine learning to predict hospital patients’ risk of Clostridium difficile infection.
The models can be tailored to different institutions to accommodate different EHR systems and patient populations.
Read More >>Enhanced Recovery After Surgery (ERAS) represents a transformative approach in…
Takeaways Providers are generally seeking to reduce use of travelers…
For many healthcare facilities, operational costs are steadily rising, and…