Results 91 to 100 of about 83,162 (185)

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

Integrating Clinical Data and Medical Imaging in Lung Cancer: Feasibility Study Using the Observational Medical Outcomes Partnership Common Data Model Extension

JMIR Medical Informatics
BackgroundDigital transformation, particularly the integration of medical imaging with clinical data, is vital in personalized medicine.
Hyerim Ji, Seok Kim, Leonard Sunwoo, Sowon Jang, Ho-Young Lee, Sooyoung Yoo   +5 more
doaj   +1 more source

OMOP-CDM mapping to RDF/OWL: Attempting to bridge the OHDSI ecosystem and the Semantic Web world

Utilizing Real-World Data (RWD) for secondary use is still an open issue. Initiatives like OHDSI aim to tackle it by introducing a common data model (OMOP-CDM) to which data providers can opt to convert their data.
Bassiliades, Nick, Chytas, Achilleas, Natsiavas, Pantelis   +2 more
core   +1 more source

Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review [PDF]

Healthcare Informatics Research
Objectives We aimed to derive observational research evidence on treatment patterns through a scoping review of common data model (CDM)-based publications.
Eun-Gee Park, Min Jung Kim, Jinseo Kim, Kichul Shin, Borim Ryu   +4 more
doaj   +1 more source

Mapping the Bulgarian Diabetes Register to OMOP CDM: Application Results

Background: The Bulgaria Diabetes Register (BDR) contains more than 380 millions of pseudonymized outpatient records with proprietary data structures and format. Objectives: This paper presents the application results and experience acquired during the process of mapping such observational health data to OMOP CDM with the objective of publishing it in ...
Evgeniy Krastev, Emanuil Markov, Simeon Abanos, Ralitsa Krasteva, Dimitar Tcharaktchiev   +4 more
openaire   +2 more sources

Translating the Observational Medical Outcomes Partnership - Common Data Model (OMOP-CDM) electronic health records to an OWL ontology

, 2021
International audienceThe heterogeneity of electronic health records model is a major problem: it is necessary to gather data from various models for clinical research, but also for clinical decision support.
Tsopra, Rosy, Sedki, Karima, Mouazer, Abdelmalek, Lamy, Jean-Baptiste   +3 more
core   +2 more sources

The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset.

PLoS ONE
BackgroundThe use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy.
Roger Ward, Christine Mary Hallinan, David Ormiston-Smith, Christine Chidgey, Dougie Boyle   +4 more
doaj   +1 more source

Visualization of Disease Frequencies on OMOP CDM Database [PDF]

Processing health data paves the way to improve public health, the development of new treatment methods, and the planning of preventive and development activities.
Mirma, Rasmus
core  

EMR tables and related tables in the OMOP CDM.

BackgroundThe use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy.
Roger Ward (18404792), Dougie Boyle (14278531), Christine Chidgey (18404798), Christine Mary Hallinan (12319089), David Ormiston-Smith (18404795)   +4 more
core   +1 more source

Common data models and data standards for tabular health data: a systematic review

BMC Medical Informatics and Decision Making
Background The use of health data supports knowledge-based decision-making in healthcare. Common Data Models (CDMs) and data standards facilitate the integration of diverse data sources and enable federated analysis by harmonizing data formats and ...
Melissa Finster, Markus Wenzel, Elham Taghizadeh   +2 more
doaj   +1 more source