Enhancing the Functionalities of Personal Health Record Systems: Empirical Study Based on the HL7 Personal Health Record System Functional Model Release 1.

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-10-09 DOI:10.2196/56735
Teng Cao, Zhi Chen, Masaharu Nakayama
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Abstract

Background: The increasing demand for personal health record (PHR) systems is driven by individuals' desire to actively manage their health care. However, the limited functionality of current PHR systems has affected users' willingness to adopt them, leading to lower-than-expected usage rates. The HL7 (Health Level Seven) PHR System Functional Model (PHR-S FM) was proposed to address this issue, outlining all possible functionalities in PHR systems. Although the PHR-S FM provides a comprehensive theoretical framework, its practical effectiveness and applicability have not been fully explored.

Objective: This study aimed to design and develop a tethered PHR prototype in accordance with the guidelines of the PHR-S FM. It sought to explore the feasibility of applying the PHR-S FM in PHR systems by comparing the prototype with the results of previous research.

Methods: The PHR-S FM profile was defined to meet broad clinical data management requirements based on previous research. We designed and developed a PHR prototype as a web application using the Fast Healthcare Interoperability Resources R4 (FHIR) and Logical Observation Identifiers Names and Codes (LOINC) coding system for interoperability and data consistency. We validated the prototype using the Synthea dataset, which provided realistic synthetic medical records. In addition, we compared the results produced by the prototype with those of previous studies to evaluate the feasibility and implementation of the PHR-S FM framework.

Results: The PHR prototype was developed based on the PHR-S FM profile. We verified its functionality by demonstrating its ability to synchronize data with the FHIR server, effectively managing and displaying various health data types. Validation using the Synthea dataset confirmed the prototype's accuracy, achieving 100% coverage across 1157 data items. A comparison with the findings of previous studies indicated the feasibility of implementing the PHR-S FM and highlighted areas for future research and improvements.

Conclusions: The results of this study offer valuable insights into the potential for practical application and broad adoption of the PHR-S FM in real-world health care settings.

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增强个人健康记录系统的功能:基于 HL7 个人健康记录系统功能模型第 1 版的实证研究。
背景:个人健康记录(PHR)系统的需求日益增长,其原因是个人希望主动管理自己的医疗保健。然而,目前的个人健康记录系统功能有限,影响了用户的使用意愿,导致使用率低于预期。为了解决这一问题,人们提出了 HL7(健康七级)个人健康记录系统功能模型(PHR-S FM),概述了个人健康记录系统中所有可能的功能。虽然 PHR-S FM 提供了一个全面的理论框架,但其实际有效性和适用性尚未得到充分探讨:本研究旨在根据 PHR-S FM 的指导方针设计和开发一个系留式 PHR 原型。本研究旨在根据 PHR-S FM 的指导方针设计和开发一个系留式个人健康记录仪原型,并通过将该原型与之前的研究成果进行比较,探索在个人健康记录仪系统中应用 PHR-S FM 的可行性:方法:PHR-S FM 配置文件是在先前研究的基础上为满足广泛的临床数据管理要求而定义的。我们使用快速医疗互操作性资源 R4(FHIR)和逻辑观察标识符名称和代码(LOINC)编码系统设计并开发了一个 PHR 原型,作为一个网络应用程序,以实现互操作性和数据一致性。我们使用 Synthea 数据集对原型进行了验证,该数据集提供了真实的合成医疗记录。此外,我们还将原型产生的结果与之前的研究结果进行了比较,以评估 PHR-S FM 框架的可行性和实施情况:PHR 原型是基于 PHR-S FM 配置文件开发的。我们通过演示其与 FHIR 服务器同步数据、有效管理和显示各种健康数据类型的能力来验证其功能。使用 Synthea 数据集进行的验证证实了原型的准确性,在 1157 个数据项中实现了 100% 的覆盖率。与以往研究结果的比较表明了实施 PHR-S FM 的可行性,并强调了未来研究和改进的领域:本研究的结果为 PHR-S FM 在现实医疗环境中的实际应用和广泛采用提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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