From Concept to Implementation: A Policy and Standards Roadmap for a Global Medical Record System for Travelers with Chronic Disease.

IF 4.3 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2026-10-08 eCollection Date: 2026-01-01 DOI:10.2147/CLEP.S626524
Anjum Khurshid, Jennifer L Winkler, Mohammad Jafari, Henrik Toft Sorensen
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引用次数: 0

Abstract

International travel by people with multimorbidity and polypharmacy is increasing, and clinicians who treat these patients abroad seldom have access to accurate and current information about them. Mechanisms for cross-border exchange do exist: the International Patient Summary (IPS), European cross-border health services, and national patient portals all move summary clinical data between jurisdictions. What none of them yet provides is automated abstraction of decades of longitudinal records into a short summary, and reliable determination of which diagnoses are active and which medications are current. They also do not provide consistent deployment across jurisdictions that record and code data differently. Sørensen (2022) established the clinical case for a Global Medical Record System (GMRS) and outlined its core data elements. We argue that four recent developments provide a window of policy opportunity: COVID-19 vaccination credentials, which showed that portable health data can be deployed at population scale; formalization of the HL7 IPS as an ISO standard with an implementation guide (FHIR IG); regulatory mandates for health data interoperability in the United States and the European Union; and an ongoing transatlantic collaboration aimed at mapping a GMRS algorithm onto those standards. Herein we make a policy case for coordinated international action, describe the standards pathway of mapping the GMRS to the FHIR IPS and United States Core Data for Interoperability (USCDI), and propose a structured maturation pathway for research and validation via a Denmark-United States collaboration. The GMRS would add to the IPS an abstraction layer that decides which of a patient's accumulated entries belong in the summary. We present this as a proposed roadmap and policy argument as the GMRS algorithm has not yet undergone formal validation which would be required before actual deployment.

从概念到实施:慢性病旅行者全球医疗记录系统的政策和标准路线图。
患有多种疾病和多种药物的人的国际旅行正在增加,在国外治疗这些患者的临床医生很少能够获得有关他们的准确和最新信息。跨境交换机制确实存在:国际患者摘要(IPS)、欧洲跨境卫生服务和国家患者门户网站都在司法管辖区之间移动临床摘要数据。它们都没有提供的是将几十年的纵向记录自动抽象成一个简短的摘要,以及可靠地确定哪些诊断是有效的,哪些药物是当前的。它们也不能跨不同记录和编码数据的司法管辖区提供一致的部署。Sørensen(2022)建立了全球病历系统(GMRS)的临床案例,并概述了其核心数据要素。我们认为,最近的四项进展提供了一个政策机会之窗:COVID-19疫苗接种证书,表明可在人口规模上部署便携式卫生数据;将HL7 IPS正规化为ISO标准,并提供实施指南(FHIR IG);美国和欧洲联盟关于卫生数据互操作性的监管规定;以及正在进行的跨大西洋合作,旨在将GMRS算法映射到这些标准上。在此,我们提出了协调国际行动的政策案例,描述了将gmr映射到FHIR IPS和美国核心互操作性数据(USCDI)的标准路径,并提出了通过丹麦-美国合作进行研究和验证的结构化成熟路径。GMRS将向IPS添加一个抽象层,该抽象层决定患者的哪些累积条目属于摘要。我们将此作为提议的路线图和政策论据,因为GMRS算法尚未经过正式验证,这在实际部署之前是必需的。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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