Results 131 to 140 of about 3,322 (156)

AI Act Compliance Within the MyHealth@EU Framework: Tutorial.

J Med Internet Res
Simjanoska Misheva M, Shahpaski D, Dobreva J, Bukovec D, Gjorgjioski B, Nikolov M, Frtunikj D, Lameski P, Aliu A, Mishev K, Gams M.   +10 more
europepmc   +1 more source

Taiwan's National Health Insurance Research Database (NHIRD): in the Era of Artificial Intelligence, Causal Inference, and Data Security. [PDF]

Clin Epidemiol
Hsieh CY, Shao SC, Sung SF, Hsieh MH, Tsai DH, Lin SJ, Lai EC.   +6 more
europepmc   +1 more source

Wearable Devices in Healthcare Beyond the One-Size-Fits All Paradigm. [PDF]

Sensors (Basel)
Bignami EG, Fornaciari A, Fedele S, Madeo M, Panizzi M, Marconi F, Cerdelli E, Bellini V.   +7 more
europepmc   +1 more source

Computer-Interpretable Quality Indicators for Intensive Care Medicine: Development and Validation Study.

J Med Internet Res
von Dincklage F, Bublitz VK, Kumpf O, Jurth C, Riessen R, Deja M, Schewe CM, Schädler D, Fuchs C, Gibb S, Scheer C, Schewe JC, Nowak H, Balzer F, Adamzik M, DIVI Information Technology Section, DIVI Quality and Economy Section, Marx G, Lichtner G.   +18 more
europepmc   +1 more source

Leveraging Interoperable Electronic Health Record (EHR) Data for Distributed Analyses in Clinical Research: Technical Implementation Report of the HELP Study.

JMIR Med Inform
Palm J, Saleh K, Scherag A, Ammon D.
europepmc   +1 more source

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FHIR

Communications of the ACM, 2022
A discussion with James Agnew, Pat Helland, and Adam Cole.
openaire   +1 more source

Pediatric Consent on FHIR

Applied Clinical Informatics
Abstract Background Standardizing and formalizing consent processes and forms can prevent ambiguities, convey a more precise meaning, and support machine interpretation of consent terms. Objectives Our goal was to introduce a systematic approach to standardizing and digitizing pediatric consent forms, which are complex due to legal ...
Anton, Voronov, Mohammad, Jafari, Lin, Zhao, Melissa, Soliz, Qixuan, Hong, John, Pope, Darwyn, Chern, Megan, Lipman, Adela, Grando   +8 more
openaire   +2 more sources

Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification

2017 IEEE International Conference on Healthcare Informatics (ICHI), 2017
The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize.
Na Hong, Kui Wang, Lixia Yao, Guoqian Jiang   +3 more
openaire   +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

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