• Title/Summary/Keyword: 병원비용

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A Study on Influence of Human Resource Efficiency of University Hospitals on Revenue and Expense (대학병원 인적 효율성이 수익과 비용에 미치는 영향)

  • Yang, Jong-Hyun;Suh, Chang-Jin;Chang, Dong-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.383-391
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    • 2010
  • The purpose of this study is to analyze influence of human resource efficiency of 32 university hospitals on revenue and expense. This study applies DEA(Data Envelopment Analysis) to evaluate human resource efficiency of the university hospitals. The results are as follows. First, university hospitals' average human resource efficiency are over 0.9 for the period 2005-2007. Second, in the relationship between revenue and efficiency, the revenue had any significant relation to human resource efficiency. Third, There is close correlation between revenue and human resource efficiency. The hospitals that are high on human resource efficiency were found to be high on revenue and expense. There is a dynamic relationship that connects revenue, expense and human resource efficiency. The higher the investment expense, the greater is the number of in-patients and out-patients which leads to higher growth and profits.

Design of a hospital assignment scheme for ambulances based on minimum cost maximum flow algorithm (최소비용 최대유량 알고리즘에 기반한 구급차의 환자이송 병원 배정 기법의 설계)

  • Junghoon Lee
    • Smart Media Journal
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    • v.12 no.9
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    • pp.72-80
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    • 2023
  • This paper presents a design and analyzes the performance of a hospital assignment and reassignment scheme for emergency rescue services based on minimum cost maximum flow algorithm. It consists of flow graph building, link capacity updating, and allocation discovering steps. The efficiency of the algorithm makes it possible to reallocate hospitals even in case of dynamic changes in the number of patients or hospitals. The performance measurement result obtained from a prototype implementation shows that the proposed scheme can reduce the transport time requirement miss by up to 24%.