Objective: This paper gives context on recent literature regarding the development of digital personal health libraries (PHL) and provides insights into the potential application of consumer health informatics in diverse clinical specialties. Materials and Methods: A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Here, 2,850 records were retrieved from PubMed and EMBASE in March 2020 using search terms: personal, health, and library. Information related to the health topic, target population, study purpose, library function, data source, data science method, evaluation measure, and status were extracted from each eligible study. In addition, knowledge discovery methods, including co-occurrence analysis and multiple correspondence analysis, were used to explore research trends of PHL. Results: After screening, this systematic review focused on a dozen articles related to PHL. These encompassed health topics such as infectious diseases, congestive heart failure, electronic prescribing. Data science methods included relational database, information retrieval technology, ontology construction technology. Evaluation measures were heterogeneous regarding PHL functions and settings. At the time of writing, only one of the PHLs described in these articles is available for the public while the others are either prototypes or in the pilot stage. Discussion: Although PHL researches have used different methods to address problems in diverse health domains, there is a lack of an effective PHL to meet the needs of older adults. Conclusion: The development of PHLs may create an unprecedented opportunity for promoting the health of older consumers by providing diverse health information.

中文翻译：

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数字个人健康图书馆：系统文献综述

目标：本文提供了有关数字个人健康图书馆 (PHL) 发展的最新文献背景，并提供了对消费者健康信息学在不同临床专业中的潜在应用的见解。材料和方法：根据系统评价和元分析的首选报告项目 (PRISMA) 声明进行了系统的文献回顾。在这里，2020 年 3 月使用搜索词从 PubMed 和 EMBASE 检索了 2,850 条记录：个人、健康和图书馆。从每个符合条件的研究中提取与健康主题、目标人群、研究目的、图书馆功能、数据来源、数据科学方法、评估措施和状态相关的信息。此外，知识发现方法，包括共现分析和多重对应分析，用于探索PHL的研究趋势。结果：经过筛选，本系统评价集中在十多篇与 PHL 相关的文章上。这些包括健康主题，如传染病、充血性心力衰竭、电子处方。数据科学方法包括关系数据库、信息检索技术、本体构建技术。关于 PHL 功能和设置的评估措施是异质的。在撰写本文时，这些文章中描述的 PHL 只有一个可供公众使用，而其他的要么是原型，要么处于试验阶段。讨论：虽然 PHL 研究使用了不同的方法来解决不同健康领域的问题，但缺乏有效的 PHL 来满足老年人的需求。结论：