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Published on: February 16, 2011
Missed opportunities mapping: computable healthcare quality improvement
Benjamin Brown1, Richard Williams, John Ainsworth
1Centre for Health Informatics, Institute of Population Health, University of Manchester and Manchester Academic Health Science Centre, UK.
Analyzing electronic health records identified missed opportunities in cardiovascular disease care. A new computational model found 32% of patients had suboptimal blood pressure control, improving detection by 4% when using integrated measurements.
Area of Science:
- Computational modeling
- Health informatics
- Cardiovascular disease research
Background:
- Analyzing deviations from established care pathways after adverse health outcomes can reveal areas for healthcare improvement.
- Electronic health records (EHRs) contain valuable data for identifying care variations.
Purpose of the Study:
- To develop and apply a computational model for comparing observed versus expected care within patient pathways.
- To identify missed opportunities in blood pressure (BP) control for cardiovascular disease (CVD) patients using EHR data.
Main Methods:
- Developed a computational model for pathway searches of coded EHRs.
- Applied the model to analyze BP control and CVD events in Salford, UK.
- Summarized BP control using the integral of serial measurements.
Main Results:
- A missed opportunities mapping (MOM) model was used to define CVD scenarios.
- In 3718 CVD patients (2007-2012), 1186 (32%) had suboptimal BP control.
- Using the integral of BP measurements increased missed opportunity detection to 36% compared to using only the most recent BP reading.
Conclusions:
- The MOM model effectively encodes care pathways and searches EHRs to detect deviations from expected care.
- This model has the potential to enhance healthcare quality at both individual patient and population levels.
- Further research is recommended to apply the MOM model to other disease areas.
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