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Clinical data sharing improves quality measurement and patient safety
John D D'Amore1, Laura K McCrary2, Jody Denson2
1Informatics Department, Diameter Health, Farmington, Connecticut, USA.
Summary
Utilizing health information exchange (HIE) data significantly alters quality measure calculations compared to individual electronic health record (EHR) data. This emphasizes the need for improved clinical data sharing to ensure accurate patient outcomes and value-based care.
Area of Science:
- Health Informatics
- Health Services Research
- Quality Improvement
Background:
- Accurate quality measurement is essential for value-based care.
- Incomplete data from single electronic health records (EHRs) can lead to inaccurate patient outcome reporting.
- Health information exchanges (HIEs) offer a multisource registry for more comprehensive quality measurement.
Purpose of the Study:
- To examine variations in quality measure calculations using individual EHR data versus combined EHR and HIE data.
- To assess the impact of incorporating longitudinal HIE data on quality reporting accuracy.
Main Methods:
- Data from 53 healthcare organizations in Kansas (2018) were analyzed.
- Fourteen ambulatory quality measures for 5300 patients were calculated using individual EHR data.
- These calculations were contrasted with those using combined EHR and HIE longitudinal data.
Main Results:
- 79% of patients received care at multiple facilities.
- 15% of all quality measure calculations changed significantly (P < .001) when including HIE data.
- These changes affected 19% of patients and varied across measures and organizations.
Conclusions:
- Single-site EHR data may provide incomplete information for quality measurement.
- Effective clinical data sharing through HIEs significantly impacts quality calculations.
- Improved data sharing is crucial for accurate healthcare payments, patient safety, and care quality.
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