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Related Experiment Videos

A clinical database management system.

S Schwartz, R George, J Owenr

    Drug Information Journal
    |December 12, 1983
    PubMed
    Summary
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    Clinical trial data management systems require significant manpower. Merck

    Area of Science:

    • Clinical data management
    • Health informatics
    • Database systems

    Background:

    • Conventional clinical trial data management systems are inefficient.
    • Existing systems demand excessive manpower and lack responsiveness.
    • There is a need for more effective clinical data processing solutions.

    Purpose of the Study:

    • To describe a novel Clinical Data Management System (CDMS) at Merck.
    • To highlight the system's flexibility and user-friendly features.
    • To demonstrate an improved approach to clinical data processing.

    Main Methods:

    • Implementation of a CDMS utilizing Infodata's Inquire, IBM's CICS and VSAM, and SAS software.
    • Design focused on system flexibility for diverse clinical data needs.

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  • Development of on-line ad hoc data retrieval capabilities.

    • Main Results:

    • The Merck CDMS provides on-line ad hoc data retrieval.
    • The system supports drug-specific database designs.
    • A common mechanism for data update and retrieval is established.

    Conclusions:

    • The implemented CDMS enhances clinical data processing efficiency.
    • The system offers improved responsiveness and user-friendliness.
    • Flexible and common data management mechanisms are key to effective clinical trials.