Results 31 to 40 of about 83,162 (185)

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   +1 more source

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study

JMIR Medical Informatics, 2023
BackgroundNational classifications and terminologies already routinely used for documentation within patient care settings enable the unambiguous representation of clinical information.
Elisa Henke, Michéle Zoch, Michael Kallfelz, Thomas Ruhnke, Liz Annika Leutner, Melissa Spoden, Christian Günster, Martin Sedlmayr, Franziska Bathelt   +8 more
doaj   +1 more source

Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

Journal of Medical Internet Research, 2021
BackgroundElectronic health records (EHRs, such as those created by an anesthesia management system) generate a large amount of data that can notably be reused for clinical audits and scientific research. The sharing of these data
Antoine Lamer, Osama Abou-Arab, Alexandre Bourgeois, Adrien Parrot, Benjamin Popoff, Jean-Baptiste Beuscart, Benoît Tavernier, Mouhamed Djahoum Moussa   +7 more
doaj   +1 more source

FAIRifying a Quality Registry Using OMOP CDM: Challenges and Solutions

, 2022
The need for health data to be internationally Findable, Accessible, Interoperable and Reusable (FAIR) and thereby support integrative analysis with other datasets has become crystal clear in the ongoing pandemic. The Dutch National Intensive Care Evaluation (NICE) quality registry adopted the Observational Medical Outcomes Partnership Common Database ...
Puttmann, Daniel, De Keizer, Nicolette, Cornet, Ronald, Van Der Zwan, Eric, Bakhshi-Raiez, Ferishta   +4 more
openaire   +3 more sources

Preserving Privacy when Querying OMOP CDM Databases

, 2022
Anonymisation is currently one of the biggest challenges when sharing sensitive personal information. Its importance depends largely on the application domain, but when dealing with health information, this becomes a more serious issue. A simpler approach to avoid inadequate disclosure is to ensure that all data that can be associated directly with an ...
João Rafael Almeida, João Paulo Barraca, José Luís Oliveira   +2 more
openaire   +3 more sources

Real-world incidence of endopthalmitis after intravitreal anti-VEGF injections in Korea: findings from the Common Data Model in ophthalmology [PDF]

Epidemiology and Health, 2021
OBJECTIVES The aim of this study was to evaluate the real-world incidence of endophthalmitis after intravitreal anti-vascular endothelial growth factor (VEGF) injections using data from the Observational Medical Outcomes Partnership (OMOP) Common Data ...
Yongseok Mun, Seng Chan You, Da Yun Lee, Seok Kim, Yoo-Ri Chung, Kihwang Lee, Ji Hun Song, Young Gun Park, Young Hoon Park, Young-Jung Roh, Se Joon Woo, Kyu Hyung Park, Rae Woong Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park   +15 more
doaj   +1 more source

Surveying the landscape of OMOP CDM adoption in the UK

, 2023
Poster summarising the results of a questionnaire on the adoption of the OMOP CDM in the UK.
Knight, Alex E., Quattroni, Paola, Seymour, David, Jones, Monica, Hall, Geoff, Uwaye Ideh, Jefferson, Emily, Cosgriff, Rebecca, Russell, Chris   +8 more
openaire   +2 more sources

Advancing Toward a Common Data Model in Ophthalmology

Ophthalmology Science, 2023
Purpose: Evaluate the degree of concept coverage of the general eye examination in one widely used electronic health record (EHR) system using the Observational Health Data Sciences and Informatics Observational Medical Outcomes Partnership (OMOP) common
Cindy X. Cai, MD, MS, William Halfpenny, MB, BChir, MEng, Michael V. Boland, MD, PhD, Harold P. Lehmann, MD, PhD, Michelle Hribar, PhD, Kerry E. Goetz, MS, Sally L. Baxter, MD, MSc   +6 more
doaj   +1 more source

Congenital heart disease in pregnancy and severe maternal morbidity: a distributed data network study. [PDF]

Pregnancy (Hoboken)
Abstract Introduction Pregnant people with congenital heart disease (CHD) are a growing patient population in obstetrics, yet evidence on the risk for severe maternal morbidity (SMM) has largely been limited to studies that lack specificity for CHD. We conducted this study to demonstrate the utility of distributed data networks for obstetric research ...
Sherwin EB, Martin B, Xu X, Booman A, Howren A, McKay K, Kazi S, O'Reilly S, Kolla KS, Aziz K, Bianco K, Leonard SA.   +11 more
europepmc   +2 more sources

Towards ETL Processes to OMOP CDM Using Metadata and Modularization

, 2023
OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present a concept for developing and evaluating a modularized metadata-driven ETL process, which can transform data into OMOP CDM regardless ...
Yuan Peng 0011, Elisa Henke, Martin Sedlmayr, Franziska Bathelt   +3 more
openaire   +3 more sources