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A Real-Time Professional Content Recommendation System for Healthcare Providers' Knowledge Acquisition

机译：用于医疗保健提供者知识获取的实时专业内容推荐系统

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摘要

Lifelong learning has become an essential component in a professional's career path. With the wide use of mobile devices in working environments, professionals can acquire knowledge anytime and anywhere. For healthcare providers, their clinical knowledge acquisition in a timely manner can significantly improve patient treatment. In this paper, we present a real-time professional content recommendation system for healthcare providers' knowledge acquisition. The system includes five layers: Data Layer (healthcare provider profile, learning behavior, social network and etc.), Algorithm Layer (clinical/medical knowledge classification, medical expertise similarity measurement, professional-knowledge matching algorithms and etc.). Service Layer (click/browsing behavior monitor, healthcare provider feedback collection and etc.), Application Layer (medical content recommendation, retrieval optimization and etc.) and Management Layer (clinical scenario configuration, medical terminology management and etc.). The system has been applied in a knowledge service applications targeting clinicians in mobile Health (mHealth) scenario.
机译：终身学习已成为专业人员职业道路上的重要组成部分。随着移动设备在工作环境中的广泛使用，专业人员可以随时随地获取知识。对于医疗保健提供者而言，及时获取临床知识可以显着改善患者的治疗水平。在本文中，我们提出了一种用于医疗保健提供者知识获取的实时专业内容推荐系统。该系统包括五层：数据层（医疗服务提供者资料，学习行为，社交网络等），算法层（临床/医学知识分类，医学专业知识相似性度量，专业知识匹配算法等）。服务层（单击/浏览行为监控器，医疗保健提供者反馈收集等），应用层（医疗内容推荐，检索优化等）和管理层（医疗场景配置，医疗术语管理等）。该系统已应用于针对移动医疗（mHealth）场景中的临床医生的知识服务应用程序。

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  • 来源
    《Big data - BigData 2018》|2018年|367-371|共5页
  • 会议地点 Seattle(US)
  • 作者

    Lu Qin; Xiaowei Xu; Jiao Li;

  • 作者单位

    Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China;

    Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China;

    Institute of Medical Information, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100020, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Personalization; Recommendation system; Healthcare providers;

    机译：个性化；推荐系统；医疗保健机构;

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