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Related Experiment Videos

Physician response to computer reminders

C J McDonald, G A Wilson, G P McCabe

    JAMA
    |October 3, 1980
    PubMed
    Summary
    This summary is machine-generated.

    Computerized medical record systems effectively remind clinicians of potential issues, improving response rates for necessary actions. Adding literature citations to these alerts did not further enhance clinician engagement or article review.

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    Area of Science:

    • Medical Informatics
    • Clinical Decision Support Systems

    Background:

    • Clinical events require timely intervention by healthcare providers.
    • Manual tracking of all clinical events can be challenging and prone to oversight.

    Purpose of the Study:

    • To evaluate the effectiveness of a computerized medical record system in alerting clinicians to critical events.
    • To assess the impact of supplemental medical literature citations on clinician response rates.

    Main Methods:

    • Implementation of a computerized medical record system designed for event detection and clinician reminders.
    • Comparison of clinician response rates (test orders, treatment changes) with and without system-generated reminders.
    • Analysis of the effect of including medical literature citations within the reminders.

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    Main Results:

    • The computerized system significantly increased clinician response rates to detected clinical events.
    • Reminders alone, without literature citations, were effective in prompting corrective actions.
    • Adding medical literature citations to reminders did not significantly alter clinician response rates or encourage reading of cited articles.

    Conclusions:

    • Computerized medical record systems serve as valuable tools for improving clinical event management.
    • The primary benefit of such systems lies in their ability to prompt timely clinician action.
    • Supplemental information, such as literature citations, may not be necessary to achieve significant improvements in clinician response rates.