Journal of Korean Society for Clinical Pharmacology and Therapeutics (임상약리학회지)

Korean Society for Clinical Pharmacology and Therapeutics (대한임상약리학회)
권호 표지

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

임상연구병동 자동병상배정 전문가시스템 개발

  • Song, Seung-Mi (Clinical Trial Center, Inje University Busan Paik Hospital) ;
  • Kim, Jong-Myoung (Department of Marine Bio-Materials, Pukyoung National University) ;
  • Ghim, Jong-Lyul (Department of Clinical Pharmacology, Inje University Busan Paik Hospital) ;
  • Shin, Jae-Gook (Department of Clinical Pharmacology, Inje University Busan Paik Hospital) ;
  • Kim, Eun-Young (Department of Clinical Pharmacology, Inje University Busan Paik Hospital)
  • 송승미 (인제대학교 부산백병원 임상시험센터) ;
  • 김종명 (부경대학교 해양바이오신소재학과) ;
  • 김종률 (인제대학교 부산백병원 임상약리학과) ;
  • 신재국 (인제대학교 부산백병원 임상약리학과) ;
  • 김은영 (인제대학교 부산백병원 임상약리학과)
  • Received : 2012.04.09
  • Accepted : 2012.05.18
  • Published : 2012.06.30
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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 several clinical trials simultaneously during a short period with a minimum number of rooms, beds, and equipment, staffs have to spend a lot of time for efficient operation of limited numbers of facilities. In this study, automated bed-allocation system was developed for efficient scheduling of the research ward based on clinical trial condition and status like experts. Methods: The system was developed based on clinical trial design, schedule, and the information on research bed and availability stored and updated in database (DB). Automatic assignment system was designed to find an optimal schedule according to the given information using expert rules and algorithms. 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 be well-designed to find an optimal schedule for bed allocation. The system also allows automatic updating of the schedule and information in the DB. Conclusion: Automated bed-allocation system developed in this study could save time and improve the efficiency for using space and equipment in clinical trial center. The system can be also applied to similar works or tasks in other fields.

Keywords

Acknowledgement

Supported by : 인제대학교

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