Interoperability of heterogeneous health information systems: a systematic literature review

By Amir Torab-Miandoab, Taha Samad-Soltani, A. Jodati, Peyman Rezaei-Hachesu. BMC Medical Informatics and Decision Making, 2023

301 citations recorded by the source corpus.

Background The lack of interoperability between health information systems reduces the quality of care provided to patients and wastes resources. Accordingly, there is an urgent need to develop integration mechanisms among the various health information systems. The aim of this review was to investigate the interoperability requirements for heterogeneous health information systems and to summarize and present them. Methods In accordance with the PRISMA guideline, a broad electronic search of all literature was conducted on the topic through six databases, including PubMed, Web of science, Scopus, MEDLINE, Cochrane Library and Embase to 25 July 2022. The inclusion criteria were to select English-written articles available in full text with the closest objectives. 36 articles were selected for further analysis. Results Interoperability has been raised in the field of health information systems from 2003 and now it is one of the topics of interest to researchers. The projects done in this field are mostly in the national scope and to achieve the electronic health record. HL7 FHIR, CDA, HIPAA and SNOMED-CT, SOA, RIM, XML, API, JAVA and SQL are among the most important requirements for implementing interoperability. In order to guarantee the concept of data exchange, semantic interaction is the best choice because the systems can recognize and process semantically similar information homogeneously. Conclusions The health industry has become more complex and has new needs. Interoperability meets this needs by communicating between the output and input of processor systems and making easier to access the data in the required formats.

Subfields: General Health Professions, Health Information Management, Surgery

View Paper: https://www.semanticscholar.org/paper/7a26e16aadb82cc1b54cf8f250ba8075f58fe1dd

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Citations in the corpus

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century (2024, background): “Beyond data privacy and algorithmic bias, significant concerns include interoperability and data integration across diverse healthcare systems [56], ensuring AI systems are compliant with regulatory and ethical standards, and establishing their clinical validity and reliability [57].”