Results 21 to 30 of about 5,919 (173)

Ontologische Modellierung und FHIR Search basierte Repräsentation grundlegender Ein- und Ausschlusskriterien

, 2021
Planning clinical studies to check medical hypotheses requires the specification of eligibility criteria in order to identify potential study participants.
Meineke, FA, Wagner, J, Uciteli, A, Beger, C, Stäubert, S, Löbe, M, Herre, H, Kirsten, T   +7 more
core   +1 more source

474 Innovative solutions to streamline data collection, exchange, and utilization in translational research

Journal of Clinical and Translational Science, 2022
OBJECTIVES/GOALS: To determine the utility of any standard, one must first evaluate whether or not the standard meets the needs of the use case it is meant to support.
Maryam Y. Garza, Fred Prior, Joseph A. Sanford, Kevin W. Sexton, Meredith N. Zozus   +4 more
doaj   +1 more source

A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2

BMC Medical Informatics and Decision Making, 2017
Background Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated.
Abdelali Boussadi, Eric Zapletal
doaj   +1 more source

Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study

JMIR Medical Informatics, 2022
BackgroundThe COVID-19 pandemic highlighted the importance of making research data from all German hospitals available to scientists to respond to current and future pandemics promptly.
Lorenz Rosenau, Raphael W Majeed, Josef Ingenerf, Alexander Kiel, Björn Kroll, Thomas Köhler, Hans-Ulrich Prokosch, Julian Gruendner   +7 more
doaj   +1 more source

Interoperable clinical data integration for distributed medical AI: The Open Medical Inference Gateway

GMS Medizinische Informatik, Biometrie und Epidemiologie
Background: Integrating AI inference services into clinical workflows remains a persistent challenge, primarily because inference backends and healthcare data standards operate with fundamentally different assumptions.
Obioma Pelka, Jan Eil, Kaushik Manjunatha, Nimesh Singh, Jazia Omeirat, Stefan Sigle, Georg Mathes, Simon-Tobias Schweizer, Shura-Roman Stump, Gerda Girdziunaite, Felix Nensa   +10 more
doaj   +1 more source

somnonetz/xnat-fhir-plugin: Version 0.1

, 2018
<p>Extending XNAT with FHIR datatypes and FHIR compatible REST API</p ...
Sabina Mollenhauer, Michael Witt, Tabea Herrmann, Maryna Khvastova, Isabella Kaupp Rivadeneira   +4 more
core   +1 more source

A service-based RBAC & MAC approach incorporated into the FHIR standard

Digital Communications and Networks, 2019
Health Information Exchange (HIE) provides a more complete health record with the aim to improve patient care with relevant data gathered from multiple Health Information Technology (HIT) systems.
Yaira K. Rivera Sánchez, Steven A. Demurjian, Mohammed S. Baihan   +2 more
doaj   +1 more source

Interoperability Benchmarks: Developing Evaluation Frameworks For FHIR Deployments [PDF]

, 2021
The HL7 Fast Healthcare Interoperability Resources (FHIR) standard enhances health data interoperability among systems and applications, ultimately improving the flow of healthcare information.
Chetan Sasidhar Ravi, Venkat Rama Raju Alluri, Dheeraj Kumar Dukhiram Pal, Tanzeem Ahmad   +3 more
core   +1 more source

i2b2 implemented over SMART-on-FHIR

, 2018
International audienceIntegrating Biology and the Bedside (i2b2) is the de-facto open-source medical tool for cohort discovery. Fast Healthcare Interoperability Resources (FHIR) is a new standard for exchanging health care information electronically ...
Zweigenbaum, Pierre, Murphy, Shawn, Paris, Nicolas, Tannier, Xavier, Mendis, Michael, Daniel, Christel   +5 more
core   +3 more sources

Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Journal of Medical Internet Research
BackgroundRecent natural language processing breakthroughs, particularly with the emergence of large language models (LLMs), have demonstrated remarkable capabilities on general knowledge benchmarks.
Ahmad Idrissi-Yaghir, Kamyar Arzideh, Henning Schäfer, Bahadir Eryilmaz, Mikel Bahn, Yutong Wen, Katarzyna Borys, Eva Hartmann, Cynthia Schmidt, Obioma Pelka, Johannes Haubold, Christoph M Friedrich, Felix Nensa, René Hosch   +13 more
doaj   +1 more source