디지털융복합연구 (Journal of Digital Convergence)

  • 제12권8호
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  • Pages.377-387
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  • 2014
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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시뮬레이션을 이용한 외래프로세스 개선방안에 관한 연구

A Study on the Improvement of Outpatient Process Using Simulation

  • Choi, Hyun-Sook (Dept. of Health Policy, The Dongnam Inst. of Radiological & Medical Sciences) ;
  • Ji, Eun Hee (Department of Quality Improvement, Haeundae Paik Hospital) ;
  • Kang, Sung-Hong (Dept. of Health Policy and Management, Inje University)
  • 투고 : 2014.06.02
  • 심사 : 2014.08.20
  • 발행 : 2014.08.28
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초록

본 연구는 시뮬레이션을 이용하여 외래프로세스를 개선하여 기관 운영의 효율성을 높이고자 수행되었다. 3가지의 시나리오를 설정하여 시뮬레이션 분석을 수행하였으며 외래환자 전체 체류시간, 대기시간, 이동시간, 진료시간, 직원 활용도 지표를 비교하여 시나리오에 따른 외래프로세스의 효율성을 평가하였다. 병원의 진료자료를 수집하여 통계도구와 프로세스 마이닝 도구를 이용하여 분석하였다. 그리고 시뮬레이션 툴인 PIOS를 이용하여 모형의 타당성은 t-test로 검증하였다. 시뮬레이션 분석 결과, 센터제로 운영하는 경우의 외래프로세스가 가장 효율성이 높은 것으로 나타났다. 이를 볼 때 외래환자에 대해서는 센터제 형태로 운영되는 것이 기관의 효율성을 높이는 방안이라는 것을 확인할 수 있었다. 본 연구를 통하여 시뮬레이션이 최적의 외래프로세스를 선정하는데 활용될 수 있는 방법이라는 것을 확인할 수 있었다. 시뮬레이션을 이용하면 과거 경험, 감정, 직관에 의존하는 기존의 보건의료 관리 기법에 비해 효율적인 의사 결정을 지원하는 방법이라는 것을 알 수 있다. 따라서 본 연구에서 제시한 연구 모델은 보건 의료 시스템 상에 다양한 활용이 가능할 것으로 보인다.

The purpose of this study is to suggest improvement ways of outpatient process via a simulation model and to improve operational efficiency. Three experimentation scenarios were implemented into the simulation model to determine which proposed scenario provides better improvement in terms of the following performance measures: LOS(Length of Stay), patient waiting time, patient travel time, and staff utilization. The hospital medical data collection and statistical tools used to analyze the process mining tools. And the PIOS simulation tool was used and the validity of the model was verified by using t-test. The simulation results demonstrated that oupatient process of center type is most efficient. Simulation approach is a powerful technique that supports efficient decision-making compared to traditional healthcare management approach based on past experience, feelings, and intuition. Therefore, the proposed experimentation model has wide applicability in healthcare systems.

키워드

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피인용 문헌

  1. Implementation of Hospital Examination Reservation System Using Data Mining Technique vol.21, pp.2, 2015, https://doi.org/10.4258/hir.2015.21.2.95