Results 191 to 200 of about 10,164 (240)

Linking international registries to FHIR and Phenopackets with RareLink: a scalable REDCap-based framework for rare disease data interoperability

medRxiv
While Research Electronic Data Capture (REDCap) has been widely adopted in rare disease research, its unconstrained data format often leads to implementations that lack native interoperability with global health data standards, limiting secondary data ...
Adam S. L. Graefe, Filip Rehburg, Samer Alkarkoukly, Daniel Danis, Ana Grönke, Miriam R. Hübner, A. Bartschke, T. Debertshäuser, S. Klopfenstein, J. Sass, Julia Fleck, M. Rehberg, Jana Zschüntzsch, Elisabeth F. Nyoungui, Tatiana Kalashnikova, L. Murguía-Favela, Beata Derfalvi, Nicola A M Wright, Shahida Moosa, S. Ogishima, O. Semler, Susanna Wiegand, P. Kuehnen, C. Mungall, M. Haendel, Peter N Robinson, S. Thun, Oya Beyan   +27 more
semanticscholar   +1 more source

A Secure Architecture for Interoperable Personal Health Records (PHR) Based on Blockchain and FHIR

Journal of Pioneering Medical Sciences
Personal Health Records (PHRs) would empower patients play active role for quality healthcare provision and access for routine checkup and self-care management.
Hafiz Farooq Ahmad, Fatimah Mohammad Alhassan, Asrar Haque, Sarah Shafqat   +3 more
semanticscholar   +1 more source

Translating openEHR Models to FHIR

2020
openEHR and FHIR are two competing clinical data modeling and data exchange standards, that are commonly seen as mostly incompatible. However, the two have quite much in common and bridging approaches between the two worlds can serve the benefit of both communities. In the presented work, the data models of openEHR are translated into FHIR data models.
Georg, Fette, Max, Ertl, Stefan, Störk
openaire   +2 more sources

Comparative Evaluation of GPT Models in FHIR Proficiency

ACM Transactions on Intelligent Systems and Technology
Ensuring interoperability in healthcare data exchange is vital for advancing patient care, and Fast Healthcare Interoperability Resources (FHIR®) has emerged as a cornerstone standard in this effort.
Tia Pope, Ahmad Patooghy
semanticscholar   +1 more source

FHIR OWL: Transforming OWL ontologies into FHIR terminology resources.

AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020
The FHIR specification provides a mechanism to access clinical terminologies using a standard API, and many existing terminologies, such as SNOMED CT, are well supported. However, in areas such as genomics, terminologies from other domains are starting to be used in clinical settings.
Alejandro, Metke-Jimenez, Michael, Lawley, David, Hansen   +2 more
openaire   +1 more source

FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems

IEEE Reviews in Biomedical Engineering
Fast Healthcare Interoperability Resources (FHIR), developed by Health Level Seven International (HL7), has emerged as the leading healthcare data standard to address persistent barriers in interoperability, fragmented exchange, and inconsistent data ...
Andrew Hornback, B. Marteau, Shaun Q. Y. Tan, Kyungbeom Kim, Oankar R. Patil, Joshua Traynelis, Yuanda Zhu, Felipe O. Giuste, M. D. Wang   +8 more
semanticscholar   +1 more source

FHIR Granular Sensitive Data Segmentation

Applied Clinical Informatics
Abstract Background Due to fear of stigma, patients want more control over the sharing of sensitive medical records. The Substance Abuse and Mental Health Administration (SAMHSA) and the Office of the National Coordinator (ONC) supported the development of standards-compliant, consent-respecting medical record exchange technology using ...
Preston, Lee, Daniel, Mendoza, Martha, Kaiser, Eric, Lott, Gagandeep, Singh, Adela, Grando   +5 more
openaire   +2 more sources

REMOTE: A Framework to Create Fast Healthcare Interoperability Resources (FHIR) from Unstructured Clinical Data

Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Free text in clinical notes represents a rich but underutilized source of patient information within electronic health records (EHRs). However, its unstructured nature poses major challenges for use in population health, genomic research, precision ...
D. B. Hier, M. Carrithers, Thanh Son Do, Tayo Obafemi-Ajayi   +3 more
semanticscholar   +1 more source

Clinical Text Mining on FHIR

2019
Semantic standards and human language technologies are key enablers for semantic interoperability across heterogeneous document and data collections in clinical information systems. Data provenance is awarded increasing attention, and it is especially critical where clinical data are automatically extracted from original documents, e.g. by text mining.
Philipp, Daumke, Kai U, Heitmann, Simone, Heckmann, Catalina, Martínez-Costa, Stefan, Schulz   +4 more
openaire   +2 more sources

The FHIR API

2020
The FHIR RESTful API provides a consistent set of HTTP services for understanding the system capabilities, finding (search) and managing resources (read, create, update, delete), and subscribing to content using a set of predictable URLs. FHIR also defines a framework for actions (execute) on the server, and a way to prevent version conflicts on the ...
Tim Benson, Grahame Grieve
openaire   +1 more source