Results 101 to 110 of about 1,082 (160)
Using the OMOP Common Data Model for Clinical Quality Measures
Electronic Clinical Quality Measures (eCQMs) are a valuable tool for improving healthcare quality, but their implementation is challenged by heterogeneous data systems.
Zeck, Steven
core +1 more source
Mapping UK Pain Datasets to the OMOP Common Data Model: Lessons Learned
Objective Chronic Pain is defined as pain lasting for three months or longer and a report by the British Pain Society in 2016 found that 28 million adults live with this condition.
Gordon Milligan +6 more
doaj +1 more source
Synthetic Acute Myeloid Leukemia Patients - OMOP
<p>This synthetic AML dataset is the conversion of the previously published dataset (<a href="../records/8334265">https://zenodo.org/records/8334265</a>) to the OMOP format.</p ...
Eckardt, Jan-Niklas +5 more
core +1 more source
IntroductionPopulation health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making.
Tathagata Bhattacharjee +15 more
doaj +1 more source
BackgroundIncorporating geographically diverse populations into real-world evidence studies is essential for generating globally applicable insights.
Francis Kanyike +10 more
doaj +1 more source
Workflow for Transforming Health Records to OMOP Common Data Model
In recent years, there has been a growing need in health informatics to use operational health data for research. In Estonia, medical data generated as part of daily work in healthcare institutions are exchanged in HL7 CDA format.
Talvik, Harry-Anton
core
BackgroundThe standardization and integration of longitudinal mental health data from African cohort studies are critical in advancing research and informing policy.
Tathagata Bhattacharjee +16 more
doaj +1 more source
A Chatbot-Like Platform to Enhance the Discovery of OMOP CDM Databases
Multicentre studies become possible with the current strategies to solve the interoperability problems between databases. With the great adoption of those strategies, new problems regarding data discovery were raised. Some were solved using database catalogues and graphical dashboards for data analysis and comparison.
João A. Reis +3 more
openaire +3 more sources

