Results 91 to 100 of about 1,082 (160)

An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features

Frontiers in Bioinformatics
Efficient data sharing is crucial for the secondary use of healthcare data, which represents one of the greatest opportunities to advance pathophysiological knowledge and improve health outcomes.
Pierluigi Reali, Valentina Tibollo, Gaia Riboni, Pierluigi Plebani, Letizia Tanca, Maria G. Signorini   +5 more
doaj   +1 more source

eds-scikit: data analysis on OMOP databases

eds-scikit is a Python library providing tools to process and analyse OMOP data.If you use eds-scikit, please cite us as ...
Remaki, Adam, Maladière, Vincent, Varoquaux, Gaël, Petit-Jean, Thomas, Bey, Romain   +4 more
core   +1 more source

A scoping review of OMOP CDM adoption for cancer research using real world data

npj Digital Medicine
The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood.
Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E. Williams, Hongfang Liu   +9 more
doaj   +1 more source

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Journal of Medical Internet Research
BackgroundThe integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP).
Meredith CB Adams, Matthew L Perkins, Cody Hudson, Vithal Madhira, Oguz Akbilgic, Da Ma, Robert W Hurley, Umit Topaloglu   +7 more
doaj   +1 more source

Analysis of Retinal Thickness in Patients With Chronic Diseases Using Standardized Optical Coherence Tomography Data: Database Study Based on the Radiology Common Data Model

JMIR Medical Informatics
BackgroundThe Observational Medical Outcome Partners-Common Data Model (OMOP-CDM) is an international standard for harmonizing electronic medical record (EMR) data.
ChulHyoung Park, So Hee Lee, Da Yun Lee, Seoyoon Choi, Seng Chan You, Ja Young Jeon, Sang Jun Park, Rae Woong Park   +7 more
doaj   +1 more source

OMOP common data model architecture [7, 12].

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

Preparing real-world data through common data model harmonization of cancer patient records in the COMNet platform at the Modena Oncology Center

Frontiers in Digital Health
ObjectivesThe transition from paper medical records to electronic health records (EHRs) has enabled the extraction of substantial real-world data, which can support future real-world evidence generation. This study aimed to convert heterogeneous oncology
Luca Moscetti, Enrico Calanchi, Elisa Pettorelli, Andrea Spallanzani, Federica Bertolini, Rossella Fogliani, Mirko Orsini, Laura Delsante, Monica Civallero, Monica Civallero, Roberta Depenni, Katia Di Emidio, Fabio Gelsomino, Annalisa Fontana, Federico Piacentini, Federico Piacentini, Roberto Sabbatini, Massimo Dominici, Massimo Dominici   +18 more
doaj   +1 more source

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

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   +1 more source

Data harmonization processes of cancer data into the observational medical outcomes partnership common data model

Scientific Reports
Cancer data is inherently complex and heterogeneous, originating from diverse sources with differing formats, terminologies, and structures, leading to significant interoperability challenges.
Ifani Pinto Nada, Stefano Bonacina
doaj   +1 more source

Addressing Data Quality Challenges in Lung Cancer Data Within the Observational Medical Outcomes Partnership Common Data Model: Observational Study

Journal of Medical Internet Research
BackgroundThe secondary use of health data is essential for advancing medical research and improving clinical practice. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) enables large-scale, multicenter studies but faces ...
Jens Declerck, Mieke Deschepper, Kirsten Colpaert, Dipak Kalra, Pascal Coorevits   +4 more
doaj   +1 more source