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2012 (v.20 no.1)

The Journal of Korean Society for Clinical Pharmacology and Therapeutics

Korean Society for Clinical Pharmacology and Therapeutics
Semiannual
ISSN: 1225-5467

  • The Development of Automated Bed-allocation Expert System in Clinical Research Ward

    Seung-Mi Song, Jong-Myoung Kim, Jong-Lyul Ghim, Jae-Gook Shin, Eun-Young Kim

    J Korean Soc Clin Pharmacol Ther | v.20, no.1, pp.51-59, Jun, 2012

    Abstract

    Background: Demands for complicated and long-term administration clinical trials have been increased since investigators actively involved in early stage clinical trials including first-in-human (FIH) trials.Research wards in our clinical trial center were mainly used for phase 1 trials. In order to perform severalclinical trials simultaneously during a short period with a minimum number of rooms, beds, andequipment, staffs have to spend a lot of time for efficient operation of limited numbers of facilities. In thisstudy, automated bed-allocation system was developed for efficient scheduling of the research wardbased on clinical trial condition and status like experts.
    Methods: The system was developed based on clinical trial design, schedule, and the information onresearch bed and availability stored and updated in database (DB). Automatic assignment system wasdesigned to find an optimal schedule according to the given information using expert rules andalgorithms. The optimal solution can be visualized on Gantt chart using C# and Chart FX API.
    Results: The system was developed to demonstrate the schedule on color chart. It turned out to bewell-designed to find an optimal schedule for bed allocation. The system also allows automatic updatingof the schedule and information in the DB.
    Conclusion: Automated bed-allocation system developed in this study could save time and improve theefficiency for using space and equipment in clinical trial center. The system can be also applied to similarworks or tasks in other fields.

    Keyword

    Automated bed-allocation, Scheduling, Expert system, Clinical trial, Clinical research ward