Results 11 to 20 of about 1,082 (160)

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model [PDF]

Journal of Biomedical Informatics, 2022
Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by the research and healthcare AI communities. From the standardization perspective, community-based standards such as
Guohui Xiao 0001, Emily R. Pfaff, Eric Prud'hommeaux, David Booth, Deepak K. Sharma, Nan Huo, Yue Yu 0012, Nansu Zong, Kathryn J. Ruddy, Christopher G. Chute, Guoqian Jiang   +10 more
openaire   +5 more sources

Extract, transform, load framework for the conversion of health databases to OMOP. [PDF]

PLoS ONE, 2022
Common data models standardize the structures and semantics of health datasets, enabling reproducibility and large-scale studies that leverage the data from multiple locations and settings. The Observational Medical Outcomes Partnership Common Data Model
Juan C Quiroz, Tim Chard, Zhisheng Sa, Angus Ritchie, Louisa Jorm, Blanca Gallego   +5 more
doaj   +4 more sources

Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model [PDF]

Healthcare Informatics Research, 2023
Objectives Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms.
Geun Hyeong Lee, Jonggul Park, Jihyeong Kim, Yeesuk Kim, Byungjin Choi, Rae Woong Park, Sang Youl Rhee, Soo-Yong Shin   +7 more
doaj   +2 more sources

Implementing OMOP CDM from the EPIC EMR.

, 2023
This is a comprehensive feasibility report presented by Peter Mac, detailing the implementation of the OMOP Common Data Model (CDM) from the EPIC Research Medical Records (RMR) system. The purpose of this report is to assess the viability and practicality of integrating the OMOP CDM framework within the existing EPIC RMR infrastructure.
Ng, Ashley, Wood, Colin, Jacob, Vimala
openaire   +2 more sources

Towards Implementation of OMOP in a German University Hospital Consortium [PDF]

Applied Clinical Informatics, 2018
Background In 2015, the German Federal Ministry of Education and Research initiated a large data integration and data sharing research initiative to improve the reuse of data from patient care and translational research. The Observational Medical Outcomes Partnership (OMOP) common data model and the Observational Health Data Sciences and ...
Christian Maier, L. Lang, Holger Storf, Patric Vormstein, R. Bieber, Johannes Bernarding, Tim Herrmann, Christian Haverkamp, P. Horki, J. Laufer, F. Berger, G. Höning, H. W. Fritsch, Jürgen Schüttler, Thomas Ganslandt, Hans-Ulrich Prokosch, Martin Sedlmayr   +16 more
openaire   +5 more sources

Seamless EMR data access: Integrated governance, digital health and the OMOP-CDM

BMJ Health & Care Informatics
Objectives In this overview, we describe theObservational Medical Outcomes Partnership Common Data Model (OMOP-CDM), the established governance processes employed in EMR data repositories, and demonstrate how OMOP transformed data provides a lever for ...
Douglas Boyle, Siaw-Teng Liaw, Graeme K Hart, Christine Mary Hallinan, Daniel Capurro, Nicole Pratt, Roger Ward, Clair Sullivan, Ashley P Ng, Anton Van Der Vegt, Oliver Daly, Blanca Gallego Luxan, David Bunker   +12 more
doaj   +3 more sources

Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model.

PLoS ONE, 2019
BackgroundThe All Of Us Research Program (AOU) is building a nationwide cohort of one million patients' EHR and genomic data. Data interoperability is paramount to the program's success.
Jeffrey G Klann, Matthew A H Joss, Kevin Embree, Shawn N Murphy   +3 more
doaj   +2 more sources

Uudne lähenemine – OMOP-andmemudelil põhinevad terviseuuringud [PDF]

Eesti Arst, 2024 ...
Reisberg, Sulev, Mooses, Kerli, Kolde, Raivo, Kõrgvee, Lenne-Triin, Vilo, Jaak   +4 more
openaire   +2 more sources

76 Lessons learned during implementation of OMOP common data model across multiple health systems

Journal of Clinical and Translational Science
OBJECTIVES/GOALS: Adoption of the Observational Medical Outcomes Partnership (OMOP) common data model promises to transform large-scale observational health research.
William Garneau, Benjamin Martin, Kelly Gebo, Paul Nagy, Johns Hopkins, Danielle Boyce, Michael Cook, Matthew Robinson   +7 more
doaj   +2 more sources

Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases

BMC Medical Research Methodology, 2021
Background The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) can be used to transform observational health data to a common format.
Patricia Biedermann, Rose Ong, Alexander Davydov, Alexandra Orlova, Philip Solovyev, Hong Sun, Graham Wetherill, Monika Brand, Eva-Maria Didden   +8 more
doaj   +2 more sources