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An Interdisciplinary Approach to Reducing Errors in Extracted Electronic Health Record Data for Research.
Perspectives in Health Information Management
|May 26, 2021
Summary
Improving electronic health record (EHR) data integrity is crucial. An interdisciplinary approach significantly minimized missing medication doses in prescription orders, enhancing data validity for research.
Area of Science:
- Health Informatics
- Data Management
- Clinical Research
Background:
- Electronic health record (EHR) data integrity is essential for reliable research.
- Erroneous data capture in EHRs poses a significant challenge.
- Missing medication doses in prescription orders are a common data integrity issue.
Purpose of the Study:
- To assess the impact of an interdisciplinary process on minimizing EHR data loss.
- To reduce missing medication doses in prescription orders within EHRs.
- To improve the validity of prescription data for retrospective research.
Main Methods:
- Implemented a three-step interdisciplinary approach to address missing prescription data.
- Step 1: Data analyst optimized request codes for data capture.
- Step 2: Pharmacist and physician identified and addressed EHR prescription workflow variations.
- Step 3: Clinician team determined daily doses for patients with multiple prescriptions.
Main Results:
- Initial report: 1421 prescriptions, 377 (26.5%) missing dosages.
- After Step 1: 361 (26.3%) prescriptions missing dosages.
- After Step 2: 23 (1.7%) records missing dosages.
- After Step 3: 1210 prescriptions, 16 (1.3%) missing doses.
Conclusions:
- Prescription data in EHRs is vulnerable to missing values due to complex workflows.
- The implemented interdisciplinary strategy effectively minimized data loss.
- The approach significantly improved the validity of EHR prescription data for research purposes.
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