Results 71 to 80 of about 83,162 (185)

P‐CAB vs. PPI for Upper Gastrointestinal Bleeding Prevention in Patients With Atherothrombotic Disease on Antithrombotic Therapy: A CDM Cohort Study

open access: yesAlimentary Pharmacology &Therapeutics, Volume 64, Issue 4, Page 499-506, August 2026.
In patients with atherothrombotic disease on antithrombotic therapy, P‐CABs demonstrated a significantly superior protective effect against clinically significant upper GI haemorrhage compared to PPIs (aHR 0.22; p = 0.016). This real‐world study highlights P‐CABs as a more potent gastroprotective strategy for high‐risk populations requiring intensive ...
Min Joo Yoon   +6 more
wiley   +1 more source

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

open access: yesOphthalmology 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   +10 more
doaj   +1 more source

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

open access: yesPLoS 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   +6 more
doaj   +1 more source

Surveying the landscape of OMOP CDM adoption in the UK: Preliminary report

open access: yes, 2023
A preliminary report summarising some of the results from a questionnaire investigating OMOP adoption across the UK.
Alex E. Knight   +8 more
openaire   +1 more source

Conceptual design of a generic data harmonization process for OMOP common data model

open access: yesBMC Medical Informatics and Decision Making
Background To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is necessary.
Elisa Henke   +5 more
doaj   +1 more source

Converting HL7 CDA Based Nationwide Austrian Medication Data to OMOP CDM

open access: yes, 2023
Austria’s national Electronic Health Record (EHR) system holds information on medication prescriptions and dispenses in highly structured HL7 Clinical Document Architecture (CDA) documents. Making these data accessible for research is desirable due to their volume and completeness.
Florian Katsch   +3 more
openaire   +2 more sources

Antidepressants and the risk of hyponatremia: A multi‐institutional cohort study using observational medical outcomes partnership—Common Data Model

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 6, Page 1706-1715, June 2026.
Aim Hyponatremia is a common yet potentially serious adverse event associated with antidepressants. Identifying the antidepressant class with the least risk of hyponatremia would improve patient safety. Methods Using electronic medical records from 15 hospitals standardized into Observational Medical Outcomes Partnership Common Data Model (2003–2023 ...
Kyungyeon Jung   +21 more
wiley   +1 more source

EHDEN - D2.3 - OMOP-CDM enhancements for outcome driven healthcare

open access: yes, 2020
Introduction: EHDEN’s mission is to develop a federated research data network, standardized to OMOP Common Data Model (OMOP-CDM). Work Package 2 has the objective to enable the transition towards outcomes-driven healthcare systems in Europe. As part of this work, WP2 intends to extend the OMOP-CDM with the ICHOM standard sets. WP2 Deliverable 2.3 (D2.3)
Fox, Frank   +2 more
openaire   +2 more sources

Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems

open access: yesLearning Health Systems, Volume 10, Issue S1, May 2026.
ABSTRACT Background National electronic health record (EHR) networks can support learning health systems (LHSs) by enabling large‐scale data aggregation, monitoring, and benchmarking, but their capacity to produce trustworthy and locally deployable machine learning and artificial intelligence (ML/AI) models remains uncertain.
Polina V. Kukhareva   +3 more
wiley   +1 more source

Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub

open access: yesFrontiers in Big Data
BackgroundLongitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through different methods to assess conditions like depression, anxiety, and psychosis presents significant ...
Bylhah Mugotitsa   +15 more
doaj   +1 more source

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