HL7 FHIR: An Agile and RESTful approach to healthcare information exchange

By D. Bender, K. Sartipi. Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

552 citations recorded by the source corpus.

Subfields: Health Information Management, Molecular Biology, Surgery

View Paper: https://www.semanticscholar.org/paper/1303cba4966df8aefb696b288ba06e1438f3d109

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Health Information Management

1. Kenneth D. Mandl
2. S. Rosenbloom

In Molecular Biology

1. Gregory Hager
2. Isaac S. Kohane

In Surgery

1. Gregory Hager
2. Russell H. Taylor

Citations in the corpus

• SMART on FHIR: a standards-based, interoperable apps platform for electronic health records (2016, background): “However, V2 focused on messaging-based exchange and required significant site customization, which led to semantic inconsistencies across implementations.(8) The more recent HL7 Version 3 Reference Information Model (RIM) offered a framework for expressing clinical statements in a semantically consi”
• Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach (2019, methodology): “Interoperability between the clinical platform and the CBR module is achieved using the FHIR (Fast Healthcare Interoperability Resources) standard [45] from HL7 (Health Level 7).”
• Why digital medicine depends on interoperability (2019, background): “An emerging standard for the communication of health data is, for example, HL7’s Fast Healthcare Interoperability Resources (FHIR), which defines around 140 common healthcare concepts, so-called resources, which can be accessed and exchanged using modern web technologies.(18) FHIR is increasingly ad”
• FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data (2018, methodology): “Without the adoption of interoperable data standards (such as HL7’s Fast Healthcare Interoperability Resources (FHIR)[20] standard for shared clinical data), clinical data can vary in formats and structures that are hard to interpret and integrate into other systems [21].”
• Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, methodology): “However, this approach provides a more interoperable solution through the use of the HL7 Fast Healthcare Interoperability Resources (FHIR) standard [217] for shared clinical data.”
• Surgical data science – from concepts toward clinical translation (2020, background): “terms with a welldefined meaning) (Bender and Sartipi, 2013), while SNOMED CT defines more than 340,000 concepts (Miñarro-Giménez et al.”