Seamless EMR data access: Integrated governance, digital health and the OMOP-CDM [PDF]
Objectives In this overview, we describe theObservational Medical Outcomes Partnership Common Data Model (OMOP-CDM), the established governance processes employed in EMR data repositories, and demonstrate how OMOP transformed data provides a lever for ...
Siaw-Teng Liaw +2 more
exaly +9 more sources
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration [PDF]
OBJECTIVE: The large-scale collection of observational data and digital technologies could help curb the COVID-19 pandemic. However, the coexistence of multiple Common Data Models (CDMs) and the lack of data extract, transform, and load (ETL) tool between different CDMs causes potential interoperability issue between different data systems.
Davera Gabriel, Sijia Liu
exaly +4 more sources
A scoping review of OMOP CDM adoption for cancer research using real world data [PDF]
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.
Ming Huang, Sunyang Fu, Hongfang Liu
exaly +3 more sources
Analysis of treatment pathways for three chronic diseases using OMOP CDM [PDF]
The present study examined treatment pathways (the ordered sequence of medications that a patient is prescribed) for three chronic diseases (hypertension, type 2 diabetes, and depression), compared the pathways with recommendations from guidelines, discussed differences and standardization of medications in different medical institutions, explored ...
Shumei Miao, Tao Shan, Yun Liu
exaly +5 more sources
Converting OMOP CDM to phenopackets: A model alignment and patient data representation evaluation [PDF]
This study aims to promote interoperability in precision medicine and translational research by aligning the Observational Medical Outcomes Partnership (OMOP) and Phenopackets data models. Phenopackets is an expert knowledge-driven schema designed to facilitate the storage and exchange of multimodal patient data, and support downstream analysis.
Tiffany J Callahan +2 more
exaly +5 more sources
Evaluating the impact of OMOP-CDM on data quality insight generation in respiratory disease management [PDF]
The increasing volume and heterogeneity of patient care data present significant challenges for comprehensive analysis and the generation of insights, particularly in specific areas such as respiratory diseases.
Brenda Mbouamba Yankam +15 more
doaj +2 more sources
Adaption of the OMOP CDM for Rare Diseases [PDF]
The OMOP Common Data Model (OMOP CDM) is an option to store patient data and to use these in an international context. Up to now, rare diseases can only be partly described in OMOP CDM. Therefore, it is necessary to investigate which special features in the context of rare diseases (e.g.
Martin Sedlmayr +2 more
exaly +4 more sources
Deep-learning-based automated terminology mapping in OMOP-CDM. [PDF]
Abstract Objective Accessing medical data from multiple institutions is difficult owing to the interinstitutional diversity of vocabularies. Standardization schemes, such as the common data model, have been proposed as solutions to this problem, but such schemes require expensive human supervision ...
Kang B +5 more
europepmc +4 more sources
Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary. [PDF]
Abstract Background A computerized 12-lead electrocardiogram (ECG) can automatically generate diagnostic statements, which are helpful for clinical purposes. Standardization is required for big data analysis when using ECG data generated by different interpretation algorithms.
Choi S, Joo HJ, Kim Y, Kim JH, Seok J.
europepmc +3 more sources
Toward bidirectional FHIR–OMOP CDM transformations using TermX to support the secondary use of real-world health data within a patient-centered digital health paradigm [PDF]
The increasing digitization of healthcare has led to vast amounts of clinical data, much of which remains underutilized for research. While Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) improves interoperability in clinical ...
Hanna Kätlin Ardel +5 more
doaj +2 more sources

