利用互联网健康资源和EPR数据进行个性化患者教育:steppps原型系统的试点评估

P. Doupi, M. V. Wijk, J. V. Wyk, J. Lei
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引用次数: 6

摘要

健康信息搜索者的一个核心问题是在大量的在线内容中定位相关信息。个性化已被建议作为有效的Web信息检索的解决方案,并在医疗保健上下文中进行了探索,但主要是使用基于纸张或本地可用的材料。在本文中,我们报告了一个原型系统STEPPS的评估,该系统利用电子病历数据从各种在线资源中个性化检索健康信息,以实现患者教育的目的。在一项盲法临床医生对荷兰烧伤护理单位27名住院患者的个人资料网页检索的评估中,steppps的表现明显优于随机选择的材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalizing Patient Education Using Internet Health Resources and EPR Data: Pilot Evaluation of the STEPPS Prototype System
A core problem for health information seekers is locating relevant information among the vast amount of online content. Personalization has been suggested as a solution to effective Web information retrieval and also explored in the healthcare context, but then primarily with paper-based or locally available material. In this paper we report on the evaluation of a prototype system, STEPPS, which utilizes electronic patient record data to personalize the retrieval of health information from a variety of online resources, for the purposes of patient education. In a blinded clinician assessment of Web pages retrieved for 27 individual profiles of patients hospitalized in Dutch burn care units, STEPPS performed significantly better than random selection of material.
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