使用个人健康图书馆支持的mHealth推荐系统在服务不足人群中进行糖尿病自我管理：知识图谱和关联数据的使用案例
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data
摘要：
个人健康图书馆（PHL）提供了对患者数字健康数据的单点安全访问，并使存储在其数字健康档案中的知识与其他全球知识来源相整合。PHL可以帮助护理人员和医疗保健提供者通过了解他们生活中的医疗事件来做出关于患者健康的明智决策。本文报告了移动健康数字干预的实施，该干预结合了存储在患者PHL中的数字健康数据和其他背景知识来源，以提供量身定制的建议，用于改善糖尿病成人的自我护理行为。我们进行了一个专题评估病人的功能和非功能的要求，是从目前的EHR的基础上从文献中的证据缺失。我们使用这些结果来确定满足这些要求所需的技术。我们描述了用于构建，管理和集成存储在PHL中的知识类型的技术基础设施。我们利用社交关联数据（Solid）平台来设计一个完全分散和隐私感知的平台，支持互操作性和护理整合。我们提供了PHL的初始原型设计，并起草了一个用例场景，其中涉及四个参与者，以演示如何使用所提出的原型来满足用户需求，包括PHL的构建和管理，以及其用于开发移动应用程序，该应用程序以私有和完全分散的方式查询存储和集成到PHL中的知识，以提供更好的建议。拟议的PHL帮助患者及其护理人员在做出有关其健康的决策方面发挥核心作用，并为他们的医疗保健提供者提供信息学工具，以支持收集和解释所收集的知识。
英文摘要：
Personal health libraries (PHLs) provide a single point of secure access to patients digital health data and enable the integration of knowledge stored in their digital health profiles with other sources of global knowledge. PHLs can help empower caregivers and health care providers to make informed decisions about patients health by understanding medical events in the context of their lives. This paper reports the implementation of a mobile health digital intervention that incorporates both digital health data stored in patients PHLs and other sources of contextual knowledge to deliver tailored recommendations for improving self-care behaviors in diabetic adults. We conducted a thematic assessment of patient functional and nonfunctional requirements that are missing from current EHRs based on evidence from the literature. We used the results to identify the technologies needed to address those requirements. We describe the technological infrastructures used to construct, manage, and integrate the types of knowledge stored in the PHL. We leverage the Social Linked Data (Solid) platform to design a fully decentralized and privacy-aware platform that supports interoperability and care integration. We provided an initial prototype design of a PHL and drafted a use case scenario that involves four actors to demonstrate how the proposed prototype can be used to address user requirements, including the construction and management of the PHL and its utilization for developing a mobile app that queries the knowledge stored and integrated into the PHL in a private and fully decentralized manner to provide better recommendations. The proposed PHL helps patients and their caregivers take a central role in making decisions regarding their health and equips their health care providers with informatics tools that support the collection and interpretation of the collected knowledge.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
