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Errors in a computerized medical records system (CLINICS).

A Basden, E M Clark

    Medical Informatics = Medecine Et Informatique
    |October 1, 1979
    PubMed
    Summary
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    Computer-held medical data accuracy is vital. Context checks on the CLINICS system found 7% of incoming data errors, reducing stored data errors to under 1%.

    Area of Science:

    • Medical Informatics
    • Health Information Management
    • Primary Care Systems

    Background:

    • Accurate computer-held medical information is crucial for patient care.
    • Assessing the effectiveness of error checking and correction programs is essential.
    • Understanding error rates in stored medical data is important.

    Purpose of the Study:

    • To report on errors detected by context checks in the Southampton University Primary Medical Care computer system (CLINICS).
    • To evaluate the effectiveness of consistency checks between stored and incoming data.
    • To determine the error rate in stored medical data.

    Main Methods:

    • Utilized context checks to identify inconsistencies between stored and incoming data within the CLINICS system.
    • Analyzed the sources of detected errors, including patient registration and doctor record-keeping.

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  • Calculated the error rate in the stored data after correction of detected errors.

    • Main Results:

    • 7% of incoming data errors were detected and corrected using context checking.
    • The majority of errors originated from new patient registration or inadequate attention to detail in record-keeping.
    • The final error rate in the stored data was calculated to be less than 1%.

    Conclusions:

    • Context checking is an effective method for identifying and correcting errors in primary care computer systems.
    • Improving patient registration processes and doctor attention to detail can further reduce medical data errors.
    • Maintaining a low error rate (<1%) in stored medical data is achievable and critical for patient safety.