FindMyDoc:一个P2P平台,颠覆了传统的医疗模式,将病人和医生匹配起来

Myrsini Glinos, Svante Dahlberg, Nikolaos Tselas, P. Papapetrou
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引用次数: 1

摘要

现在有各种各样的电子健康应用程序,从排卵计算器,如Glow,到更复杂的系统,通过语义分析来确定合适的治疗师,如Talkspace或ZocDoc。尽管有很好的功能,现有的系统在搜索过滤器、评论和医生推荐方面提供的功能有限。在本文中,我们提出了FindMyDoc,一个超越现有传统医疗模式的新型点对点医疗平台。它允许根据治疗程序、治疗质量和医疗保健提供者的评论进行适当筛选,从而提供医生建议。此外,搜索结果使用推荐引擎进行细化,该引擎采用基于用户的协同过滤,并利用患者提供的一组预定义的评论选项,以便将其与医生进行匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors
A variety of eHealth apps exist today ranging from ovulation calculators, such as Glow, to more sophisticated systems for determining the right therapist via semantic analysis, such as Talkspace, or ZocDoc. Despite their promising functionality, existing systems offer limited capabilities in terms of search filters, reviews, and doctor recommendations. In this paper, we propose FindMyDoc, a novel peer-to-peer healthcare platform that goes beyond existing traditional healthcare models. It provides doctor recommendations by allowing proper filtering based on treatment procedures, quality of treatment, and reviews of healthcare providers. In addition, the search results are refined using a recommendation engine that employs user-based collaborative filtering and exploits a set of predefined review options provided by the patients in order to match them with doctors.
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