以層級分析法與地理資訊系統為基礎之就醫機構選擇決策 引擎

Abstract

民眾尋求就醫場所時，常依照過去經驗，或他人介紹來就醫。而就醫選擇已是一被廣為研究的議題，國內外諸多文獻已發現許多影響民眾就醫選擇的重要因素。因此，對於大部分民眾偏好的就醫因素，目前已有相當了解。但實際上要藉由這些重要因素來尋找醫療院所時卻缺乏實際資料來進行比較。在醫療院所建議系統的相關研究中，已有研究利用分類器將資料進行分類來建造模型，但缺點是這樣龐大資料所建立的分類模型並不能完全兼顧到個人的偏好情況。現今在網路上已有多個網站提供醫療院所的搜尋服務，但大多是單純的關鍵字搜尋，並不能快速且方便地輔助民眾來對各醫療院所進行比較，而且系統並無法考慮民眾自身的偏好。因此，本研究將致力於開發一以層級分析法與地理資訊系統為基礎之就醫機構選擇決策引擎，能夠透過個人化偏好模型，以病患為中心來進行各醫療院所因素比較，並搭配地理資訊系統來提供距離與交通資訊，輔助民眾快速且方便地找到理想的醫療院所。目前在使用結果的問卷調查中，使用者表示個人化模型確實符合民眾心中想法，而且系統確實有助於輔助找尋就醫場所。

When it comes to taking medical treatment, the first problem is how people choose an appropriate medical institute. Most people choose medical institute by their experience or trying to get some information from other’s advice. Choice of medical institute is a widely studied issue; a lot of important factors of most people have been discovered and analyzed. But lack of quantified data makes these factors hard to be compared between medical institutes. In the past researches, classifier has been used to build up the model of hospital choosing, but personal preference may not be fit by this type of model. Nowadays, several websites provide the medical institute searching service. However, it only provides simple query service. People can choose the district they live, getting the list of medical institute. Practically, these types of service do not consider the personal preference and can not directly support the selection of medical institute while considering to access medical service. Therefore, this research aims to develop a convenient web-based decision engine service system integrated with AHP and GIS for supporting the medical care selection and give a customized, patient-central recommendation list of medical institutes. The result shows that the system could catch the preference of user and indeed help people find the rational medical institute with good satisfaction.