Myrsini Glinos, Svante Dahlberg, Nikolaos Tselas, P. Papapetrou
{"title":"FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors","authors":"Myrsini Glinos, Svante Dahlberg, Nikolaos Tselas, P. Papapetrou","doi":"10.1145/2910674.2910723","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2910674.2910723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.