The University of Utah Center for Health AI (UCHAI) Research
Collaborations
Health System Partners
- Medstar Health
- University of California San Diego Health
- Brigham and Women’s Hospital
Vendor Partners
- Microsoft
- Amazon
- Pascal Metrics
- Regence BlueCross BlueShield
- Epic
Overview of Research Areas
EHR/AI Application Performance Evaluation
Development and Validation of Electronic Quality and Safety Measures
Real Time Detection and Prediction of Safety Adverse Events Across the Continuum of Care
University of Utah hosts and operates the biggest health IT safety test in the world, the Leapfrog Group’s CPOE tool, with a proven track record and scale of over 3000 hospitals per year.
Patient Centered AI and Health IT to Improve the Quality and Safety of Care
Clinical Documentation Burden Reduction and Efficiency
Publications
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- A Scalable and Extensible Logical Data Model of Electronic Health Record Audit Logs for Temporal Data Mining (RNteract): Model Conceptualization and Formulation
- Can AI relieve nursing documentation burden?
- Maximizing the Ability of Health IT and AI to Improve Patient Safety
- How can artificial intelligence decrease cognitive and work burden for front line practitioners?
- Bending the patient safety curve: how much can AI help?
- Patient Safety and Artificial Intelligence in Clinical Care
- An Electronic Health Record-Based Real-Time Analytics Program For Patient Safety Surveillance And Improvement
- Measuring Patient Safety in Real Time: An Essential Method for Effectively Improving the Safety of Care
- National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018
- Inpatient EHR User Experience and Hospital EHR Safety Performance
- Adoption of Artificial Intelligence in Healthcare: Survey of Health System Priorities, Successes, and Challenges