Results 51 to 60 of about 1,576 (169)

Exploring the potential of OMOP common data model for process mining in healthcare.

PLoS ONE, 2023
Background and objectiveRecently, Electronic Health Records (EHR) are increasingly being converted to Common Data Models (CDMs), a database schema designed to provide standardized vocabularies to facilitate collaborative observational research.
Kangah Park, Minsu Cho, Minseok Song, Sooyoung Yoo, Hyunyoung Baek, Seok Kim, Kidong Kim   +6 more
doaj   +1 more source

Implementation of OMOP and ConcePTION Common Data Models in CPRD GOLD: Risk of Bleeding and Cardiovascular Outcomes From Anticoagulant Use

Clinical Pharmacology &Therapeutics, EarlyView.
The impact of the choice of common data model (CDM) approach on the study results in a real‐world evidence (RWE) study is unknown. We aimed to determine potential differences in the results of an RWE study when data were mapped to two different CDMs, ConcePTION and OMOP. With the same instance of CPRD GOLD, data were mapped to both CDMs. Using the same
Nicholas B. Hunt, Patrick Souverein, Marloes Bazelier, Nicola Barclay, Antonella Delmestri, Miriam Sturkenboom, Daniel Prieto‐Alhambra, Helga Gardarsdottir, Olaf Klungel   +8 more
wiley   +1 more source

Accelerating real‐world prediction and research in Alzheimer's: The M3AD study

Alzheimer's &Dementia, Volume 22, Issue 3, March 2026.
Abstract Chronic diseases, including Alzheimer's disease (AD) and related dementia (ADRD), do not exist solely as isolated entities. Instead, they weave concomitant trajectories of multiple diseases, conditions, behaviors, and risks, mutually influencing each other's course and natural history, in ways yet unexplored.
Moïse Desvarieux, Tatjana Rundek, Habibul Ahsan, Javier Narvaez, Felipe Diaz, Daniel Malinsky, Luis Marco Ruiz, Maxim Topaz, Thomas Falconer, Karthik Natarajan, James Noble, Barbara Entwisle, Deepthi Puram, Tara Anand, Hsin Yi Chen, Xinzhuo Jiang, Yian Gu, Alan Cohen, Mary Beth Terry, Brandon Pierce, Howard Andrews, Emily Rogalsky, Shahla Farzana, George Gulotta, John Beard, Danielle Landron, Samuel L Volchenboum, Philippe Ravaud, Julie Johnson, Ezra Susser, Andrew Rundle, Ying Wei, Nick Tsinoremas, David Loewenstein, Linda Fried, Allison Aiello, Richard Mayeux, George Hripcsak   +37 more
wiley   +1 more source

Development of an OpenMRS-OMOP ETL tool to support informatics research and collaboration in LMICs

Computer Methods and Programs in Biomedicine Update, 2023
Background: As more low and middle-income countries (LMICs) implement electronic health record systems (EHRs), informatics has become an important component of global health.
Juan Espinoza, Sab Sikder, Armine Lulejian, Barry Levine   +3 more
doaj   +1 more source

Extract, Transform and Load German Claim Data to OMOP CDM – Design and Implications

, 2022
Introduction: Secondary use of clinical data is essential for generating evidence in medical research. To harmonize data it is beneficial to use common data models (CDM) [ref:1]. The Observational Medical Outcomes Partnership (OMOP) CDM from the Observational Health Data Sciences and Informatics [for full text, please go to the a.m. URL]
Zoch, M, Henke, E, Reinecke, I, Peng, Y, Gebler, R, Gruhl, M, Sedlmayr, M   +6 more
openaire   +2 more sources

Integrating real‐world data with gold‐standard longitudinal clinical and genomic data to advance precision medicine for the Alzheimer's Disease Research Center Program and beyond: a proof‐of‐concept data platform

Alzheimer's &Dementia, Volume 22, Issue 3, March 2026.
Abstract INTRODUCTION Integrating real‐world data (RWD) with clinical research datasets creates more complete, context‐rich resources to drive discovery and enable precision medicine in Alzheimer's disease and related dementias. The National Alzheimer's Coordinating Center conducted a proof‐of‐concept (POC) project to link its longitudinal Uniform Data
Sarah Biber, Jessica E. Culhane, Maria G. Prado, Satish Mathew, Yohali Burrola‐Mendez, Imara I. West, Sarah Van Heiden, Jimmy Phuong, Shilpa Allimatti, Liam G. Lane, Krista L. Moulder, Brittany K. Hale, Amanda Kuzma, Li‐San Wang, Sujuan Gao, Albert Lai, Karthik Natarajan, Sophia Wang, John C. Morris, James M. Noble, Sean D. Mooney, Walter Kukull, Andrew J. Saykin, Kari A. Stephens   +23 more
wiley   +1 more source

Evaluating Data Quality by Proxy: Can We Evaluate All Dimensions of the European Medicines Agency Data Quality Framework for Registry‐Based Post‐Authorization Safety Studies?

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 2, February 2026.
ABSTRACT Purpose An increasing number of studies based on secondary data use, including registry‐based studies, have been initiated to address post‐authorization regulatory commitments. We map differences across tools used in data quality (DQ) assessments, including those embedded in fitness‐for‐purpose (FFP) assessments, and describe their strengths ...
Pamela Dobay, Meritxell Sabidó
wiley   +1 more source

Performance of the Self‐Controlled Case Series for Drug Safety Signal Detection: A Multi‐Database Study

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 2, February 2026.
ABSTRACT Background Differences in performance of the Self‐Controlled Case Series (SCCS) for signal detection have been reported across different databases. However, there has been limited comparative analysis of performance and it remains unknown whether combinations of databases could enable more effective signal detection. Objectives This study aims
Astrid Coste, Angel Y. S. Wong, Francois Haguinet, Andrew Bate, Ian J. Douglas   +4 more
wiley   +1 more source

Using the Data Quality Dashboard to Improve the EHDEN Network

Applied Sciences, 2021
Federated networks of observational health databases have the potential to be a rich resource to inform clinical practice and regulatory decision making.
Clair Blacketer, Erica A. Voss, Frank DeFalco, Nigel Hughes, Martijn J. Schuemie, Maxim Moinat, Peter R. Rijnbeek   +6 more
doaj   +1 more source

Deep phenotyping of heart failure with preserved ejection fraction through multi‐omics integration

European Journal of Heart Failure, Volume 27, Issue 12, Page 3243-3259, December 2025.
Deep phenotyping of heart failure with preserved ejection fraction (HFpEF) through multi‐omics integration. AI, artificial intelligence. Aims Heart failure with preserved ejection fraction (HFpEF) has become the predominant form of heart failure and a leading cause of global cardiovascular morbidity and mortality. Due to its heterogeneous nature, HFpEF
Jakob Versnjak, Titus Kuehne, Pauline Fahjen, Nina Jovanovic, Ulrike Löber, Gabriele G. Schiattarella, Nicola Wilck, Holger Gerhardt, Dominik N. Müller, Frank Edelmann, Philipp Mertins, Roland Eils, Michael Gotthardt, Sofia K. Forslund, Benjamin Wild, Marcus Kelm   +15 more
wiley   +1 more source