정보경제방법을 이용한 병원정보시스템의 경제성분석
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Objectives: To perform economic analysis for the newly developed hospital information system (HIS) based on EMR by using information economic (IE) approach and to perform the sensitivity analysis for the hypothetical parameters and the scenarios on the number of hospitals to be disseminated. Methods: We used IE approach in order to quantify intangible benefits in a systematic manner. IE attempts to categorize benefits into five value types: direct benefits, value acceleration, value linkage, value restructuring, and innovation valuation. While actual hospital data were used in most of the analysis, some data were extrapolated from the literature if actual data were not available. Patient waiting time for two outpatient departments were compared for two hospitals (with EMR and without EMR) in order to estimate the time savings from the reduction in waiting time. Results: Benefits to costs (B/C) ratio was 0.47 if only direct benefit was included but it was increased to 0.86 if value acceleration was added; was increased to 0.93 if value linkage was included; increased to 1.50 if value restructuring was added; and was increased to 1.51 of innovation valuation was added. Conclusions: IE analysis showed that HIS was economically profitable project if all intangible benefits were included. Sensitivity analysis showed that B/C ratio was further increased if the same system was disseminated to other public hospitals Key words : Information economics, Economic analysis, Electronic medical records, Value
Abstract
Objectives: To perform economic analysis for the newly developed hospital information system (HIS) based on EMR by using information economic (IE) approach and to perform the sensitivity analysis for the hypothetical parameters and the scenarios on the number of hospitals to be disseminated. Methods: We used IE approach in order to quantify intangible benefits in a systematic manner. IE attempts to categorize benefits into five value types: direct benefits, value acceleration, value linkage, value restructuring, and innovation valuation. While actual hospital data were used in most of the analysis, some data were extrapolated from the literature if actual data were not available. Patient waiting time for two outpatient departments were compared for two hospitals (with EMR and without EMR) in order to estimate the time savings from the reduction in waiting time. Results: Benefits to costs (B/C) ratio was 0.47 if only direct benefit was included but it was increased to 0.86 if value acceleration was added; was increased to 0.93 if value linkage was included; increased to 1.50 if value restructuring was added; and was increased to 1.51 of innovation valuation was added. Conclusions: IE analysis showed that HIS was economically profitable project if all intangible benefits were included. Sensitivity analysis showed that B/C ratio was further increased if the same system was disseminated to other public hospitals Key words : Information economics, Economic analysis, Electronic medical records, Value
참고문헌 (20)
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