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  • 1.
    Glinos, Myrsini
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Dahlberg, Svante
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Tselas, Nikolaos
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Papapetrou, Panagiotis
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors2016In: Proceedings of the 9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, Association for Computing Machinery (ACM), 2016, article id 53Conference paper (Refereed)
    Abstract [en]

    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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