Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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The Development of Convergence Optimized LOS Management System

융복합 맞춤형 재원일수 관리 시스템 개발

  • Received : 2017.01.02
  • Accepted : 2017.02.20
  • Published : 2017.02.28
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Abstract

This study aims to develop a convergence optimized LOS(Length of Stay) management system that can provide efficient by predicting LOS on outpatient information for inducing the LOS to manage their own activities. web program has been implemented to comput in real-time predicting LOS by using the predicted LOS model of outpatient information. The predict model was derived management targets of long term predicted patient group and intensive care patient group. The optimized LOS(Length of Stay) management system was confirmed efficient for optimizing management of LOS that can provide by the long-term predicting alarm and over LOS alarm service for long term predicted patient group and intensive care patient group. Therefore the trial operating policy alternative on extension of predicted LOS is needed to utilized convergence optimizing system on LOS.

본 연구는 의료기관이 자체적으로 재원일수관리 활동을 하도록 유도하기 위해 외래정보로 재원일수를 예측하여 입원환자 재원일수를 예측하고 재원일수관리의 효율성을 제공할 수 있는 융복합 맞춤형 재원일수 관리 시스템을 개발 방안을 제시하고자 하였다. 외래정보 자료를 기반으로 개발된 재원일수 예측 모형을 이용한 융복합의 맞춤형 재원일수 관리 웹 프로그램은 실시간 예측 재원일수 산출되도록 구현되었다. 예측 모형을 기반으로 장기재원예측 환자군, 집중 관리 환자군 등 재원일수관리 서비스 대상이 도출되었다. 장기재원예측 환자군, 집중관리 환자군에 장기 재원 예상 알림 서비스, 재원일수 초과 알림 서비스 등을 제공할 수 있어 맞춤형 재원일수 관리 시스템이 맞춤형 재원일수 관리에 효율적인 시스템인 것이 확인되었다. 이에 융복합 맞춤형 재원일수 관리 시스템 웹 활용을 위해서는 재원일수 예측 질환의 확대와 국가 차원의 시범운영 정책 추진 방안이 필요하다.

Keywords

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