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Extending CQL with openEHR to Express Clinical Quality Indicators
Mengyang Li1,2, Yunlong Zhi1,2, Xudong Lu1,2,3
1College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Studies in Health Technology and Informatics
|August 24, 2019
Summary
This study extends Clinical Quality Language (CQL) to support openEHR archetypes, enabling better representation and computation of clinical quality indicators in openEHR environments.
Area of Science:
- Health Informatics
- Clinical Decision Support
- Data Modeling
Background:
- Clinical Quality Language (CQL) is a HL7 standard for expressing clinical quality indicators.
- openEHR is a widely adopted modeling methodology.
- Current CQL limitations hinder its integration with openEHR archetypes.
Purpose of the Study:
- To develop a method for extending CQL to support openEHR archetypes.
- To enable the expression and computation of clinical quality indicators within the openEHR environment.
Main Methods:
- Extended Clinical Quality Language (CQL) to incorporate openEHR archetypes.
- Validated the extended CQL method using 64 Centers for Medicare & Medicaid Services (CMS) indicators.
- Tested the method with 118 local clinical quality indicators from China.
Main Results:
- The extended CQL successfully represented and computed clinical quality indicators.
- Demonstrated the feasibility of integrating CQL logic with openEHR archetypes.
- Showcased the method's effectiveness across diverse indicator sets.
Conclusions:
- The proposed method effectively integrates Clinical Quality Language (CQL) with openEHR archetypes.
- This integration facilitates the expression and computation of clinical quality indicators in openEHR systems.
- The approach enhances the utility of CQL within the openEHR ecosystem.
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