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采用快速医疗互操作性资源（Fast Healthcare Interoperability Resources，FHIR）进行肌肉骨骼疾病（Musculoskeletal Disorder，MSD）健康数据采集、个性化管理和交换。

Musculoskeletal Disorder (MSD) Health Data Collection, Personalized Management and Exchange Using Fast Healthcare Interoperability Resources (FHIR).

机构信息

Centre of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), 2829-516 Caparica, Portugal.

Department of Electrical and Computer Engineering, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.

出版信息

Sensors (Basel). 2024 Aug 10;24(16):5175. doi: 10.3390/s24165175.

DOI:10.3390/s24165175
PMID:39204872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11360422/
Abstract

With the proliferation and growing complexity of healthcare systems emerges the challenge of implementing scalable and interoperable solutions to seamlessly integrate heterogenous data from sources such as wearables, electronic health records, and patient reports that can provide a comprehensive and personalized view of the patient's health. Lack of standardization hinders the coordination between systems and stakeholders, impacting continuity of care and patient outcomes. Common musculoskeletal conditions affect people of all ages and can have a significant impact on quality of life. With physical activity and rehabilitation, these conditions can be mitigated, promoting recovery and preventing recurrence. Proper management of patient data allows for clinical decision support, facilitating personalized interventions and a patient-centered approach. Fast Healthcare Interoperability Resources (FHIR) is a widely adopted standard that defines healthcare concepts with the objective of easing information exchange and enabling interoperability throughout the healthcare sector, reducing implementation complexity without losing information integrity. This article explores the literature that reviews the contemporary role of FHIR, approaching its functioning, benefits, and challenges, and presents a methodology for structuring several types of health and wellbeing data, that can be routinely collected as observations and then encapsulated in FHIR resources, to ensure interoperability across systems. These were developed considering health industry standard guidelines, technological specifications, and using the experience gained from the implementation in various study cases, within European health-related research projects, to assess its effectiveness in the exchange of patient data in existing healthcare systems towards improving musculoskeletal disorders (MSDs).

摘要

随着医疗保健系统的普及和日益复杂化，需要实施可扩展和互操作的解决方案，以便无缝集成来自可穿戴设备、电子健康记录和患者报告等各种来源的异构数据，从而提供患者健康的全面和个性化视图。缺乏标准化会阻碍系统和利益相关者之间的协调，影响护理的连续性和患者的结果。常见的肌肉骨骼疾病影响各个年龄段的人，会对生活质量产生重大影响。通过体育活动和康复，可以减轻这些疾病，促进康复和预防复发。妥善管理患者数据可实现临床决策支持，有助于实施个性化干预和以患者为中心的方法。Fast Healthcare Interoperability Resources (FHIR) 是一个广泛采用的标准，它定义了医疗保健概念，旨在简化信息交换并实现整个医疗保健部门的互操作性，同时降低实施的复杂性而不失信息的完整性。本文探讨了 FHIR 的当代作用的文献，探讨了其功能、优点和挑战，并提出了一种用于构建几种类型的健康和幸福数据的方法，这些数据可以作为观察结果常规收集，然后封装在 FHIR 资源中，以确保在系统之间的互操作性。这些方法是在考虑健康行业标准指南、技术规范的基础上，并利用在各种欧洲健康相关研究项目中实施所获得的经验开发的，以评估其在现有医疗保健系统中交换患者数据以改善肌肉骨骼疾病 (MSD) 的效果。

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Integrating a Patient Engagement App into an Electronic Health Record-Enabled Workflow Using Interoperability Standards.利用互操作性标准将患者参与应用程序集成到启用电子健康记录的工作流程中。
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Clinical, technical, and implementation characteristics of real-world health applications using FHIR.
使用FHIR的真实世界健康应用程序的临床、技术和实施特征。
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Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review.用于健康研究互操作性的快速医疗保健互操作性资源（FHIR）：系统评价
JMIR Med Inform. 2022 Jul 19;10(7):e35724. doi: 10.2196/35724.
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Artificial intelligence, machine learning, and deep learning for clinical outcome prediction.用于临床结局预测的人工智能、机器学习和深度学习
Emerg Top Life Sci. 2021 Dec 20;5(6):729-45. doi: 10.1042/ETLS20210246.
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A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data.使用观察性健康数据进行可靠且快速的预测模型开发和验证的标准化分析管道。
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The ecosystem of apps and software integrated with certified health information technology.与经认证的健康信息技术集成的应用程序和软件生态系统。
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Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations.利用计算机可读工件增强叙述性临床指南：基于世界卫生组织建议编写FHIR实施指南。
J Biomed Inform. 2021 Oct;122:103891. doi: 10.1016/j.jbi.2021.103891. Epub 2021 Aug 25.
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Correction: The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities.更正：快速医疗互操作性资源（FHIR）标准：实施、应用、挑战与机遇的系统文献综述
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