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Related Experiment Videos

Direct text entry in electronic progress notes. An evaluation of input errors.

C R Weir1, J F Hurdle, M A Felgar

  • 1Geriatrics Research, Education, and Clinical Center (GRECC), Veterans Administration Salt Lake City Health Care System, Salt Lake City, Utah, USA. Charlene.Weir@med.va.gov

Methods of Information in Medicine
|April 16, 2003
PubMed
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Electronic health record input errors are common, with 60% of patients having errors. Copying notes and physician input contribute significantly to these errors, impacting patient record accuracy.

Area of Science:

  • Medical Informatics
  • Health Information Management
  • Clinical Documentation

Background:

  • Electronic medical record systems (CPRS) aim to improve healthcare delivery.
  • Clinician note entry via keyboard in CPRS may introduce new data integrity issues.
  • Understanding input error patterns is crucial for optimizing electronic health records (EHRs).

Purpose of the Study:

  • To investigate the frequency and types of input errors in electronic patient records.
  • To identify specific practices contributing to data inaccuracies within the EHR.
  • To assess the impact of clinician input methods on record integrity.

Main Methods:

  • Random sample of 60 inpatient charts from 2,301 admissions over 5 months.
  • Development of review criteria by a clinical informatics panel.

Related Experiment Videos

  • Independent review of 1,891 progress notes by two raters for specific error types.
  • Main Results:

    • 60% of patients had input errors, averaging 7.8 per patient.
    • Copying notes, especially with modifications, led to high error rates (20% of notes).
    • Physicians (MDs) exhibited higher error rates than other clinicians, even when controlling for note volume.

    Conclusions:

    • Implementing EHRs can introduce novel data input challenges.
    • Strategies to minimize errors include single data entry and problem-oriented note generation.
    • Improving EHR design and clinician training is essential for data accuracy.