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CONVERSION TO FHIR HL7 CODES – AN EASY JOURNEY
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023As part of the CMS ONC Interoperability rules, HL7 FHIR (Fast Healthcare Interoperability Resources) Standard defines how healthcare information can be exchanged between different systems irrespective of their formats. Even though FHIR describes the specific formats in which the data can be transferred, efficient mechanisms for this data conversion are
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Towards mHealth Assessment Guidelines for interoperability: HL7 FHIR
2016The number of health-related mobile apps (mHealth apps) has increased dramatically over the last three years. Health professionals have started recommending apps to their patients, while healthcare systems, advocacy groups, and professional societies review or commission apps of relevance to their members.
Catherine E. Chronaki, Frank Ploeg
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2019
Although HL7 v2.x has been in use for more than 25 years and is thus probably the most widely used data exchange standard in the healthcare domain, there are still ongoing discussions about technical terminology, i.e., how exactly individual specifications are to be interpreted. This has led to the idea of modernizing the specification/standard without
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Although HL7 v2.x has been in use for more than 25 years and is thus probably the most widely used data exchange standard in the healthcare domain, there are still ongoing discussions about technical terminology, i.e., how exactly individual specifications are to be interpreted. This has led to the idea of modernizing the specification/standard without
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HL7 FHIR: An Agile and RESTful approach to healthcare information exchange
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013This research examines the potential for new Health Level 7 (HL7) standard Fast Healthcare Interoperability Resources (FHIR, pronounced “fire”) standard to help achieve healthcare systems interoperability. HL7 messaging standards are widely implemented by the healthcare industry and have been deployed internationally for decades.
Duane Bender, Kamran Sartipi
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HL7 ® FHIR ® basierte Qualitätssicherung in Deutschland
2018Einleitung: Dieser Abstrakt analysiert den gegenwärtigen Stand der Qualitätssicherungs- und -kontrollmechanismen in Deutschland und stellt eine mögliche Migration hin zu HL7 FHIR vor. Methoden: In Deutschland müssen Qualitätssicherungsdaten (QS) [ref:1] bereitgestellt[zum vollständigen Text gelangen Sie über die oben angegebene URL]
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A reusable ontology for primitive and complex HL7 FHIR data types
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015HL7(®) FHIR(®) standard is a new standard aiming to offer more flexible interoperability mechanisms. We present a stand-alone RDF vocabulary as an OWL ontology that defines the primitive and complex data types of the FHIR framework, alongside their validation rules.
Ioanna Chouvarda +2 more
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Development of Japan-Specific HL7 FHIR Medication-Related Profiles
Journal of Medical SystemsAdoption of the HL7 Fast Healthcare Interoperability Resources (FHIR) as the global standard for healthcare information exchange has encouraged many countries to develop localized implementation guides that align with their specific regulatory and clinical needs.
Shinji Kobayashi +2 more
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Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity
2018Current medical systems need to be able to communicate complex and detailed medical data securely and efficiently. However, the quantity of available healthcare data is rising rapidly, far exceeding the capacity to deliver personal or public health benefits from analyzing this data. Thus, a substantial overhaul of methodology is required to address the
Athanasios Kiourtis +2 more
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Bridging the Gap: Integrating Heterogeneous Clinical Data into HL7 FHIR
2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)The fragmentation of patient data across different and disconnected systems, ranging from electronic health records to Artificial Intelligence (AI)-based diagnostic tools, poses a major challenge to the delivery of an efficient and accurate healthcare system.
Teresa Conte +3 more
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