Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 31, 2024
Open Peer Review Period: Apr 7, 2024 - Jun 2, 2024
Date Accepted: Dec 5, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
25 Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: A Comprehensive Review
ABSTRACT
Electronic Health Records (EHRs) facilitate the accessibility and sharing of patient data among various healthcare providers, contributing to more coordinated and efficient care. EHRs are designed not only to collect and store health information but also to support other care-related activities like evidence-based decision support, quality management, and outcomes reporting. The adoption of EHRs has been encouraged globally as a critical component of modern healthcare systems, aiming to improve the accuracy and efficiency of patient care and to support better health outcomes. Over the past 25 years, EHRs have successfully been translated from digital records to scientific achievements. In this review, we examined the evolution of EHRs and their interoperability over the past 25 years. We explored the advancements in EHR technology, emphasizing how they have facilitated better management and understanding of diseases through comprehensive data collection and analysis. Challenges such as common data models, system compatibility, connection, linkage and privacy issues were discussed in detail. This review also highlighted the significance of these records in epidemiological studies, pragmatic clinical trials and health economic studies particularly in creating a more accurate representation of clinical practices and patient populations. Moreover, it considered the limitations of EHRs, including data cleaning complexities and potential biases arising from inconsistent records. Improved resource sharing and collaborations among healthcare providers were advocated, underscoring the need for consistent data formats and policy development in healthcare networks to maximize the potential of EHRs in clinical research and healthcare improvement.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.