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尋優適應性類神經模糊推論模式於DRGs取巧行為自動檢測之應用

An Enhanced ANFIS Model for the Detection of DRGs Creeps

摘要


中央健保局為控制國內醫療費用的成長並有效運用醫療資源,將逐步實施總額預算制度,而「診斷關聯群前瞻性支付」(簡稱DRG/PPS)是新制度中醫療費用分配與支付的基準。為求執行上的公平與正確,如何有效審查進而抑制醫療服務提供者在申請給付時有意或無意間產生的DRGs取巧行為,即成為醫療服務管理的重要課題。此類資訊密集的審查作業目前仍以人工審查為主,實有導入資訊科技的必要。本研究以整合模擬退火演算法與適應性類神經模糊推論系統的方式來建構「尋優適應性類神經模糊推論模式」,並以此智慧型機制進行DRGs取巧行為是否存在的自動檢測。實例驗證的結果顯示:本研究所提模式不僅有高於其他功能相似系統的平均分類正確率(90.10%),更在決策支援方面有較高的透明度及可信賴度。

並列摘要


In order to control the growing costs of healthcare spending, the Bureau of National Health Insurance is adopting the Global Budget System. In this new system, Diagnostic Related Groups/Prospective Payment System (DRG/PPS) is the mechanism for payment evaluation and control. Many healthcare frauds, also known as DRGs creeps, have been found in other countries that have already implemented the similar payment systems. For a fair and effective execution of such payment system, elimination of these frauds becomes an important task for healthcare administration. Detecting DRGs creeps manually is costly. However, costs to tailor packages to fit the detection needs and integrate them into an existing environment are outrageous. In this research, a hybrid soft computing model that integrates simulated annealing and adaptive-network-based fuzzy inference system (ANFIS) is proposed for the automated detection of DRGs creeps. The proposed approach is affordable for healthcare units at all levels. Implementation and evaluation results demonstrate that the proposed hybrid model has improved overall performance in identifying DRGs creeps.

參考文獻


黃興進(2002)。醫療資訊管理系統研究議題之探討。資訊管理學報。9,101-116。
黃興進(2002)。醫療資訊管理系統研究議題之探討。資訊管理學報。9,101-116。
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Brasil, L.Ml, de Azevedo, F.M.,Barreto, J.M.(2001).Hybrid Expert System for Decision Supporting in the Medical Area: Complexity and Cognitive Computing.International Journal of Medical Informatics.63(1-2),1930.
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被引用紀錄


廖錦珍(2007)。探討實施DRGs 制度對醫院醫療費用之可能影響-以台中縣市醫院為例〔碩士論文,亞洲大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0118-0807200916274175
林孟樺(2015)。臺灣版診斷關聯群制度接受意圖關鍵影響因素探討-以臺北市某區域醫院骨科為例〔碩士論文,國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-1005201615085033
陳湘雲(2017)。探討ICD-10-CM/PCS臨床診斷與處置代碼查詢資訊系統接受的影響因素〔碩士論文,中山醫學大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0003-2107201713525300

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