Results 51 to 60 of about 1,082 (160)
ARCH ontologies and terminologies vs OMOP.
, 2019 ARCH ontologies and terminologies vs OMOP.
Jeffrey G. Klann (6377081) +3 more
core +1 more source
Gestational diabetes in multifetal versus singleton pregnancies: A multicenter cohort study
Acta Obstetricia et Gynecologica Scandinavica, EarlyView.Gestational diabetes in multifetal pregnancies was associated with increased maternal morbidity but less adverse neonatal and long‐term offspring outcomes than in singleton pregnancies, suggesting that current diagnostic thresholds derived from singleton gestations may not fully reflect the unique metabolic and clinical characteristics of multifetal ...
Rinat Gabbay‐Benziv +8 more
wiley +1 more source
OMOP-on-FHIR: Integrating the Clinical Data Through FHIR Bundle to OMOP CDM
The harmonization of the OMOP Common Data Model (CDM) with HL7 FHIR aims to enhance interoperability in clinical research by harmonizing diverse healthcare datasets. This process, referred to as OMOP-on-FHIR, leverages FHIR Bundles for real-time clinical data exchange and transforms these resources into OMOP CDM format using an ETL process.
Jayathissa, Prabath +3 more
openaire +2 more sources
ARCH Ontology modifiers vs. those in OMOP.
, 2019 ARCH Ontology modifiers vs. those in OMOP.
Jeffrey G. Klann (6377081) +3 more
core +1 more source
JMIR Medical Informatics, 2022 BackgroundFalls in acute care settings threaten patients’ safety. Researchers have been developing fall risk prediction models and exploring risk factors to provide evidence-based fall prevention practices; however, such efforts ...
Hyesil Jung +6 more
doaj +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
Computational and Systems Oncology, Volume 6, Issue 1, December 2026.ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Deep-learning-based automated terminology mapping in OMOP-CDM
Journal of the American Medical Informatics Association, 2021 Abstract Objective Accessing medical data from multiple institutions is difficult owing to the interinstitutional diversity of vocabularies. Standardization schemes, such as the common data model, have been proposed as solutions to this problem, but such schemes require expensive human supervision ...
Byungkon Kang +5 more
openaire +3 more sources
JMIR Medical InformaticsBackgroundPatient-monitoring software generates a large amount of data that can be reused for clinical audits and scientific research. The Observational Health Data Sciences and Informatics (OHDSI) consortium developed the Observational Medical Outcomes ...
Mathilde Fruchart +5 more
doaj +1 more source
Clinical Pharmacology &Therapeutics, Volume 120, Issue 4, Page 943-954, October 2026.Despite developments in supporting the identification and selection of fit‐for‐purpose registries, a translational gap remains between the original purposes of clinically focused registries and their current and future expected use in policymaking. This study aimed to assess the extent to which cancer‐focused registries collect essential data elements ...
Manon C. Wilpshaar +4 more
wiley +1 more source
ZfKD | OMOP CDM - Metadata Cataloge
Data integration and interoperability are fundamental aspects of implementing the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM).
Mareile Beernink, Jasmin Carus
core +3 more sources