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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版本 1 的实证研究

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

机构信息

Department of Medical Informatics, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan, 81 227177572, 81 227178022.

出版信息

JMIR Med Inform. 2024 Oct 9;12:e56735. doi: 10.2196/56735.

DOI:10.2196/56735
PMID:39382578
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11481820/
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.

摘要

背景

个人健康记录(PHR)系统的需求不断增加,这是个人积极管理自己医疗保健的愿望所驱动的。然而,当前 PHR 系统的功能有限,这影响了用户采用它们的意愿,导致使用率低于预期。HL7(Health Level Seven)PHR 系统功能模型(PHR-S FM)被提出以解决这个问题,概述了 PHR 系统中所有可能的功能。尽管 PHR-S FM 提供了一个全面的理论框架,但它的实际效果和适用性尚未得到充分探索。

目的

本研究旨在根据 PHR-S FM 的指南设计和开发一个有绳 PHR 原型。旨在通过将原型与之前的研究结果进行比较,探索在 PHR 系统中应用 PHR-S FM 的可行性。

方法

根据之前的研究,定义了 PHR-S FM 配置文件,以满足广泛的临床数据管理要求。我们设计并开发了一个 PHR 原型,作为一个使用 Fast Healthcare Interoperability Resources R4(FHIR)和 Logical Observation Identifiers Names and Codes(LOINC)编码系统的 Web 应用程序,用于互操作性和数据一致性。我们使用 Synthea 数据集验证了原型,该数据集提供了现实的合成医疗记录。此外,我们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。

结果

根据 PHR-S FM 配置文件开发了 PHR 原型。我们通过演示其与 FHIR 服务器同步数据的能力,有效地管理和显示各种健康数据类型,验证了其功能。使用 Synthea 数据集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。与之前的研究结果的比较表明,实施 PHR-S FM 的可行性,并突出了未来研究和改进的领域。

结论

本研究的结果为 PHR-S FM 在现实医疗保健环境中的实际应用和广泛采用提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9678/11481820/f856e340fc9f/medinform-v12-e56735-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9678/11481820/5dba09a1a9e1/medinform-v12-e56735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9678/11481820/f856e340fc9f/medinform-v12-e56735-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9678/11481820/5dba09a1a9e1/medinform-v12-e56735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9678/11481820/f856e340fc9f/medinform-v12-e56735-g002.jpg

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Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications.用于人工智能应用的逼真合成喉癌队列的生成。
Cancers (Basel). 2024 Feb 1;16(3):639. doi: 10.3390/cancers16030639.
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Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface.
超越 21 世纪治愈法案规则:患者控制的电子健康信息导出应用程序编程接口。
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Implementation of a Patient Summary Web Application According to the International Patient Summary and Validation in Common Use Cases in Japan.根据国际患者摘要和日本常见用例中的验证,实现患者摘要 Web 应用程序。
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Integrated Personal Health Record in Indonesia: Design Science Research Study.印度尼西亚的综合个人健康记录:设计科学研究
JMIR Med Inform. 2023 Mar 14;11:e44784. doi: 10.2196/44784.
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Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study.开发用于监测日本个人健康记录的数据平台:整合下一代生态系统以维持健康(SHINE)研究。
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Simulation of a machine learning enabled learning health system for risk prediction using synthetic patient data.使用合成患者数据模拟机器学习支持的学习健康系统进行风险预测。
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