Results 21 to 30 of about 1,576 (169)

Density of routinely collected neurology data depends on patient visit type: an investigation using the observational medical outcomes partnership common data model [PDF]

BMJ Neurology Open
Background The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is a standardised framework for organising healthcare data.
Hedley Emsley, Fran Biggin, Jo Knight, Timothy Howcroft, Laura M White, Quinta Ashcroft, Vishnu Vardhan Chandrabalan   +6 more
doaj   +2 more sources

Establishing standards: harmonising coding principles for a minimal cancer dataset in the OMOP Common Data Model [PDF]

ESMO Real World Data and Digital Oncology
Background: Analysing clinical information across a network poses challenges due to heterogeneity of data collection, storage and availability. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) provides a standardised ...
A. Ajmal, O. Bouissou, J. Brash, S. Cheeseman, P.G. Banduge, A.L. Gomes, L. Revie, E. Ross, S. Theophanous, J. Thonnard, A. Van Maanen, A. Vengadeswaran, A. Wolf, X.M. Fernandez   +13 more
doaj   +2 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

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 ...
Joao Rafael, Almeida, Joao Paulo, Barraca, José Luís, Oliveira   +2 more
openaire   +2 more sources

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

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

JMIR Medical Informatics
BackgroundReal-world data–based feasibility assessments enhance clinical trial design, but automating eligibility criteria conversion to database queries is hindered by challenges related to ensuring high accuracy and generating clear, usable outputs.
Kye Hwa Lee, Sujung Jang, Grace Juyun Kim, Sukyoung Park, Doeun Kim, Oh Jin Kwon, Jae-Ho Lee, Young-Hak Kim   +7 more
doaj   +2 more sources

Cancer Prediction on OMOP CDM – a Rapid Review

, 2022
Introduction: Omics technologies have led to significant advances in identifying novel disease-associated mutations and generated large amounts of data, which, in conjunction with clinical data, is highly useful in deriving population- and patient-level predictions [ref:1]. However, data [for full text, please go to the a.m. URL]
Ahmadi, N, Peng, Y, Wolfien, M, Zoch, M, Sedlmayr, M   +4 more
openaire   +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

Automatic Data Transfer from OMOP-CDM to REDCap: A Semantically-Enriched Framework [PDF]

, 2021
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Nicola Barbarini, Morena Stuppia, Emanuele Girani, Matteo Gabetta, Anna Alloni, Lucia Sacchi   +5 more
openaire   +3 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