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Developing drug-use indicators with a computerized drug database and a personal computer software package.

M H Stolar

    American Journal of Hospital Pharmacy
    |May 1, 1987
    PubMed
    Summary
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    Hospitals can use multihospital databases and personal computers (PCs) with software to monitor drug-use indicators. This system facilitates data analysis for improved healthcare management and patient outcomes.

    Area of Science:

    • Health Informatics
    • Pharmaceutical Data Analysis
    • Hospital Management Systems

    Background:

    • Effective monitoring of drug-use indicators is crucial for optimizing hospital resource allocation and patient care.
    • Existing methods for analyzing drug utilization can be labor-intensive and may lack the scalability required for multihospital systems.

    Purpose of the Study:

    • To describe a system for monitoring drug-use indicators using a multihospital database and personal computer (PC).
    • To present a five-step method for analyzing drug-use data to identify trends and inform hospital management decisions.

    Main Methods:

    • Utilized an integrated spreadsheet, database, and graphics software (Lotus 1-2-3) compatible with IBM PCs.
    • Applied a five-step data analysis procedure to randomly selected patient records from a multihospital database.

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  • Analyzed drug-use indicators such as length of stay, drug cost per patient, and number of drugs received within specific diagnosis-related groups (DRGs).

    • Main Results:

    • Demonstrated the utility of the PC-based system in manipulating and analyzing large datasets from multihospital databases.
    • Successfully applied statistical characterization, subgroup identification, comparative analysis, and predictive modeling to drug-use data.
    • Presented data manipulations and findings effectively through tables and graphs for clear interpretation.

    Conclusions:

    • A multihospital database system, coupled with PC software, provides a powerful tool for hospitals to monitor drug-use indicators.
    • The described five-step analysis method enables efficient data manipulation and presentation, supporting evidence-based decision-making in healthcare.
    • This approach facilitates the identification of patterns and potential improvements in drug utilization across multiple healthcare facilities.