貝氏統計模式架構之門診病患選科決策輔助

A Bayesian Statistical Model Based Outpatient Department Decision Support

蔣雅禎(Ya-Jen Jiang)

指導教授 ： 詹前隆

元智大學/資訊學院/資訊管理學系/碩士(2004年)

摘要

網際網路的快速興起，根據資策會ACI-FIND最新調查數據顯示，截至2004年9月底止，網際網路連網應用普及率為40%，我國目前家庭連網普及率已經超過六成。網路世界的熱絡，造就了各式各樣的網站成立，醫療資訊網也不例外的迅速成長。然而相關的醫療資訊系統網站大都只提供初淺之健康資訊和醫療相關資訊，深度明顯不足，對於就醫科別選擇資訊上顯得少之又少，因此如何協助民眾精確的選擇適合的就醫科別是醫療資訊網站所必須致力的，藉由提供就醫選擇的輔助決策功能可增加網站系統的附加價值。
決策活動是決策者就其對某問題的瞭解，並據以產生方案的過程。病患選擇就醫科別就是一個標準的決策活動。在台灣，病患自由選擇就診科別是台灣醫療很重要的特色。在現今的醫療習慣以及制度之下，病患對於就醫選科的決策常常產生困難與困擾。目前對於病患在選擇科別的決策分析以及選擇之後的就醫行為研究的論文皆付之闕如，對於病患就醫決策與行為模式也缺乏了解。目前針對就醫選擇因素的研究主要是以醫療機構的角度出發，探討醫療院所行銷面策略的制定，缺乏針對民眾就醫選擇門診科別時的輔助，協助病患解決就醫選科時所面臨到的困難。因此，本研究將以病人為中心，來探討病患就醫的決策模式並實際發展就醫決策輔助系統。

關鍵字

醫療資訊系統 ； 就醫選擇 ； 決策模式 ； 決策支援系統

並列摘要

The activities in the Internet grow rapidly, according to the recent study from Institute for Information Industry, until September 2004, there are more than nine million people using the Internet in Taiwan. The ratio of prevalence for individual users is 40 %, and the ratio of prevalence for the households is 61%. Obviously, the Internet has influenced our daily lives deeply. Millions of web sites appear and more are generated everyday, and the situation is the same for medical or health information web-sites. However, most of the medical/health information web-sites haven’t provided patients oriented in-depth information, not to mention a tailored healthcare provider choice support system. It will be a great opportunity to develop this kind of decision support system for the patients.
Decision-making is a process to identify, define problems and to generate the alternatives. To decide which department, which hospital or which doctors to visit is a typical decision-making process. In Taiwan, the patients can choose the department or doctors they want to visit freely. Most of the patients and their family will have difficulty in the choice of medical department, especially when the symptoms are complicated. On the other hand, there still lacks of academic study regarding the healthcare provider seeking decision and behavior, which may provide an important references for health insurance policy. Until now, there are many researches address the issues of medical marketing. However, there’s few study to aim to study the patient’s healthcare providers seeking decision and behaviors. This proposal will focus on 1). Understand the factors influencing the patient’s healthcare providers seeking decision 2). Development and evaluation of a web-based healthcare providers seeking decision support system.

並列關鍵字

Medical information system ； Healthcare providers seeking decision ； Decision-making models ； Decision Support System