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Development of a Decision Support Engine to Assist Patients with Hospital Selection

机译:开发决策支持引擎以协助患者选择医院

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Hospital selection is a complicated decision-making process. Although patients have expressed greater desire to participate in decision-makings of their healthcare, it can be problematic for them to accumulate large amount of information and using it for making an optimal choice in hospital selection. The aim of this research is to develop a decision engine for hospital selection (DEHS) to support patients while accessing healthcare resources. DEHS applied the analytic hierarchy process and the geographic information system to aggregate different decision factors and spatial information. The results were evaluated through investigating the consistency of the preferences that users inputted, the degree that the results match patient choices, the satisfactions of users, and the helpfulness of the results. Data were collected for 3 months. One hundred and four users visited DEHS and 85.5 % of them used DEHS more than once. Recommendations of the institutes (36 %) was ranked as the primary decision factor that most users concerned. Sixty-seven percent of the sessions searched for hospitals and 33 % for clinics. Eighty-eight percent of the results matched the choices of patients. Eighty-three percent of the users agreed that the suggested results were satisfactory, and 70 % agreed that the information were helpful. The DEHS provides the patients with simple measurements and individualized list of suggested medical institutes, and allows them to make decisions based on credible information and consults the experiences of others at the same time. The suggested results were considered satisfactory and helpful.
机译:医院的选择是一个复杂的决策过程。尽管患者表达了参与其医疗保健决策的更大愿望,但对于他们而言,积累大量信息并将其用于医院选择的最佳选择可能会出现问题。这项研究的目的是开发一种医院选择决策引擎(DEHS),以在获取医疗资源的同时为患者提供支持。 DEHS应用了层次分析法和地理信息系统来汇总不同的决策因素和空间信息。通过调查用户输入的偏好的一致性,结果与患者选择的匹配程度,用户的满意度以及结果的帮助性来评估结果。收集了3个月的数据。 104位用户访问了DEHS,其中85.5%的用户使用了DEHS超过一次。这些机构的建议(36%)被列为大多数用户关注的主要决策因素。 67%的会话搜索医院,33%的搜索诊所。 88%的结果与患者的选择相符。 83%的用户认为建议的结果令人满意,而70%的用户认为该信息有用。 DEHS为患者提供简单的测量方法和建议的医疗机构的个性化列表,并允许他们基于可靠的信息做出决定并同时参考其他人的经验。建议的结果被认为是令人满意的和有帮助的。

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