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Related Experiment Video

Updated: Nov 4, 2025

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
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An Interdisciplinary Approach to Reducing Errors in Extracted Electronic Health Record Data for Research.

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    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.

    Keywords:
    Data integritydata abstractionelectronic health recordprescription

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    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.