A practical model for research with learning health systems: Building and implementing effective complex case management
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Maureen A Smith1, Peter A Nordby2, Menggang Yu3
1Department of Population Health Sciences, University of Wisconsin - Madison School of Medicine and Public Health, Madison, WI, USA; Department of Family Medicine and Community Health, University of Wisconsin - Madison School of Medicine and Public Health, Madison, WI, USA; Health Innovation Program, University of Wisconsin - Madison School of Medicine and Public Health, Madison, WI, USA.
Abstract:
For researchers to contribute meaningfully to the creation of learning health systems, practical tools are required to operationalize existing conceptual frameworks. We describe a model currently in use by the University of Wisconsin Health Innovation Program (HIP). The HIP model consolidates and enhances existing learning health system frameworks by defining specific steps needed to create sustainable change based on research conducted within the health system. As an example of the model's application, we describe its use to improve patient identification for the University of Wisconsin health system's case management program. Our case study shows the importance of culture, infrastructure, and strong leadership support in realizing a learning health systems research project and creating sustainable change within the health system. By articulating the foundational elements and steps to conduct research with learning health systems, our model supports researchers in achieving the challenge of moving learning health systems from concept to action.
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