PreprintReviewVersion 1Preserved in Portico This version is not peer-reviewed
A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare
Version 1
: Received: 31 October 2023 / Approved: 31 October 2023 / Online: 1 November 2023 (09:45:34 CET)
How to cite:
Harpreet, R.; Yadav, R. A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare. Preprints2023, 2023110011. https://doi.org/10.20944/preprints202311.0011.v1
Harpreet, R.; Yadav, R. A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare. Preprints 2023, 2023110011. https://doi.org/10.20944/preprints202311.0011.v1
Harpreet, R.; Yadav, R. A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare. Preprints2023, 2023110011. https://doi.org/10.20944/preprints202311.0011.v1
APA Style
Harpreet, R., & Yadav, R. (2023). A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare. Preprints. https://doi.org/10.20944/preprints202311.0011.v1
Chicago/Turabian Style
Harpreet, R. and Rimmy Yadav. 2023 "A Research Review on Semantic Interoperable Archetype Models, Approaches & Methods Implemented for Electronic Health Record Systems in Medical Healthcare" Preprints. https://doi.org/10.20944/preprints202311.0011.v1
Abstract
Semantic interoperability is a foundational concept in modern healthcare, enabling seamless communication and meaningful data exchange across diverse EHR systems. At the heart of this concept lies archetype clinical information models, which serve as standardized templates to structure and encode clinical data, ensuring consistency and shared understanding among various healthcare stakeholders. This review paper delves into the intricacies of Electronic Health Records (EHRs) within the context of semantic interoperability and the pivotal role played by archetype clinical information models. Drawing from a wealth of recent research, this review paper examines the theoretical underpinnings of semantic interoperability. By surveying the literature, it synthesizes the diverse approaches and methods employed to achieve semantic interoperability within EHR systems. Furthermore, this review does not shy away from addressing the significant challenges that persist in this arena. These challenges encompass issues related to data quality, governance, resistance to change, and the scalability and integration hurdles that healthcare organizations encounter in their quest for interoperable EHR systems. Through a comprehensive review of relevant research papers from esteemed sources including PubMed, ScienceDirect, and Taylor & Francis, the paper offers a comprehensive understanding of the approaches and methods employed in this domain. This analysis encompasses a time frame ranging from 2015 to 2023, ensuring an up-to-date assessment of the field. By presenting a well-rounded picture of the field, this review paper offers valuable insights for healthcare stakeholders, researchers, and practitioners. It underscores the enduring importance of semantic interoperability in EHR systems, not only in advancing patient care, clinical decision support, and healthcare operations but also in driving data-driven innovations in the dynamic and ever-evolving medical healthcare sector. This comprehensive examination sets the stage for future advancements in the pursuit of truly interoperable and data-driven healthcare systems.
Keywords
EHR; semantic interoperability; clinical information models; Archetype modeling
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
