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Using Clinical Data Standards to Measure Quality: A New Approach.
John D D'Amore1,2, Chun Li1, Laura McCrary3
1Diameter Health, Inc., Farmington, Connecticut, United States.
Applied Clinical Informatics
|June 14, 2018
Summary
This study shows that using clinical document interchange standards improves the accuracy of calculating healthcare quality measures. This approach enhances patient inclusion and measure validity for value-based care reporting.
Area of Science:
- Health Informatics
- Healthcare Quality Improvement
- Clinical Data Management
Background:
- Value-based care necessitates objective quality measurement.
- Previous methods relied on billing data or single electronic health records (EHRs).
- New regulations permit aggregated data from qualified clinical data registries using interoperability standards.
Purpose of the Study:
- Evaluate clinical document interchange standards for healthcare quality measurement.
- Identify and address challenges in quality measure calculation.
- Validate an interoperability-based approach for quality reporting.
Main Methods:
- Utilized data from 1,100 patients across 11 ambulatory care facilities.
- Included data from 5 different electronic health records (EHRs).
- Addressed challenges for 17 certified quality measures.
Main Results:
- Developed iterative solutions for 14 quality measures.
- Improved patient inclusion rates in quality calculations.
- Enhanced measure calculation accuracy while maintaining certification.
Conclusions:
- Awareness of identified issues is crucial for organizations reporting care quality.
- Quality measure authors should enhance real-world validation and logic consistency.
- Clinical document interchange standards offer a validated approach to accurate quality measurement.
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