Results 71 to 80 of about 1,082 (160)

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

Observational Medical Outcome Partnership (OMOP) Special Interest Group: Inaugural Meeting

, 2023
The Alliance is undertaking a number of activities to support the adoption of data standards in the UK health data ecosystem. In particular, we are focusing on the Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM) developed by the ...
UK Health Data Research Alliance
core   +1 more source

Transforming Documents of the Austrian Nationwide EHR System into the OMOP CDM

, 2023
The Austrian nationwide EHR system ELGA can contribute valuable data for research due to its high volume of data and broad population coverage. In order to be applicable in international research projects, transformation to a standardized, research-oriented data model such as the OMOP common data model is essential.
Raffael Lukas Korntheuer, Florian Katsch, Georg Duftschmid   +2 more
openaire   +3 more sources

gkv-to-omop

<p>This repository contains the dockerized version of the ETL process to convert German claims data to OMOP CDM.</p ...
Henke, Elisa
core   +1 more source

Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

Ophthalmology Science
Objective: To identify and characterize concept coverage gaps of ophthalmology examination data elements within the Cerner Millennium electronic health record (EHR) implementations by the Observational Health Data Sciences and Informatics Observational ...
Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD   +10 more
doaj   +1 more source

Real‐World Evidence on Short‐Term Weight Changes Following Methylphenidate Use in Pediatric Population: A Retrospective Study Using Common Data Model

Clinical and Translational Science, Volume 19, Issue 9, September 2026.
ABSTRACT In July 2025, the Food and Drug Administration (FDA) warned of significant weight loss among young children receiving stimulants for attention‐deficit hyperactivity disorder. However, real‐world evidence on the magnitude and prevalence of stimulant‐associated weight loss remains limited.
Haeyoung Lee, Eun‐Gee Park, Hyeon‐Jong Yang, Young‐Gyun Seo, Dong Yoon Kang, Changyoung Kim, Da Woon Sim, Jewon Seo, Sae‐Hoon Kim, Dosang Cho, Kwangsoo Kim, Jinsu Lee, Yeesuk Kim, Kounseok Lee, Hye‐Kyung Park, Hyung Joon Joo, In Young Choi, Tai Joon An, Mi Hyoung Moon, Chaiho Jeong, Sun Im, Sung Woo Ko, Jun Yong Lee, Yeon Woong Chung, Young‐Yul Kim, Seo Jeong Shin, Bonggi Kim, Soo Jung Sohn   +27 more
wiley   +1 more source

Transforming unstructured breast cancer pathology reports into the Observational Medical Outcomes Partnership Common Data Model

BMC Medical Informatics and Decision Making
Background Although breast cancer pathology reports provide important clinical research data, for they are written as free text, previous studies extracted data from pathology reports through natural language processing (NLP). This study aimed to present
Borham Kim, Wongeun Song, Eunsil Yoon, Seok Kim, Ho-Young Lee, Jee Hyun Kim, Koung Jin Suh, Kwang-Il Kim, So Yeon Park, Eun-Kyu Kim, Se Hyun Kim, Seonghae Yoon, Sooyoung Yoo   +12 more
doaj   +1 more source

Glucagon‐Like Peptide‐1 Receptor Agonists and Risk of Mental Health Disorders in Type 2 Diabetes: Active Comparator, New User Cohort Study

Diabetes, Obesity and Metabolism, Volume 28, Issue 9, Page 8482-8493, September 2026.
ABSTRACT Aims We evaluated the risk of mental health disorders among glucagon‐like peptide‐1 receptor agonist (GLP1RA) users compared with users of dipeptidyl peptidase‐4 (DPP‐4) inhibitors and sodium‐glucose cotransporter‐2 (SGLT2) inhibitors. Materials and Methods We conducted a nationwide, active‐comparator new‐user cohort study using the Korean ...
Chungsoo Kim, Seonji Kim, Dong Yun Lee, Eugene Han, Yong‐ho Lee, Seng Chan You   +5 more
wiley   +1 more source

Evolution of a Graph Model for the OMOP Common Data Model

Applied Clinical Informatics
Abstract Objective Graph databases for electronic health record (EHR) data have become a useful tool for clinical research in recent years, but there is a lack of published methods to transform relational databases to a graph database schema.
Kang, Mengjia, Alvarado-Guzman, Jose A., Rasmussen, Luke V., Starren, Justin B.   +3 more
openaire   +2 more sources

Frequency and Timing of Depression and Anxiety Diagnoses Following Cancer Diagnosis: A Multi‐Center Cohort Study

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Background Depression and anxiety are common among individuals with cancer and are associated with adverse outcomes; however, the frequency, timing, and disparities of anxiety and depression diagnoses following cancer diagnosis remain incompletely characterized.
Suraj Manohar Rajan, Vivian Tran, Aaron‐john Lee, Carol Y. Ochoa‐Dominguez, Joshua Demb, Melody K. Schiaffino, Edmund Qiao, Tyler Seibert, James Murphy, Brent Rose, Matthew P. Banegas   +10 more
wiley   +1 more source