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Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
School of Nursing

PI: Thomas R. Clancy
Co-PI: Bonnie L. Westra

Effective Use of EHR Data to Improve Population Health in a Rural Community

The Winona Health Center (WH) and the University of Minnesota School of Nursing are conducting high-level queries of WH’s integrated electronic health records (EHR) to develop a plan for improving the safety and health status for WH’s population. Specifically, this project is a rare opportunity to: advance the science of data aggregation/normalization across providers, setting, etc.; actually track trajectories of diseases within a defined community across time; and establish a baseline for intervention studies based on actual specific community needs. High-level queries will include data abstraction for diseases, disease risk factors, treatments, complications, and other factors from WH’s integrated clinical information system as patients move through multiple levels of care (private physician clinic, hospital, sub-acute care, and home). The high-level queries will be conducted to verify the access, linkage of data elements, and completeness and quality of the data. The scope includes descriptions of the health of the population served by WH. More in-depth analysis of the data initially focuses on the conditions of obesity, diabetes, and cardiovascular disease to determine the feasibility of conducting quality improvement and intervention studies to improve outcomes. The information generated from this project may identify opportunities to improve clinical and process outcomes for WH and the community it serves. The plan also includes research questions for future intervention studies based on the availability of data from WH’s EHR.

Group Members

Connie W. Delaney, Faculty Collaborator
Vipin Kumar, Faculty Collaborator
Michael Steinbach, Research Associate