Results 111 to 120 of about 1,082 (160)
Healthcare Quality Indicators Based on the OMOP Data Model
Objective assessment of cancer care quality requires structured, standard‑format health data. This study uses a 10 % random sample of the Estonian population for 2012–2019 that had already been transformed into the OMOP Common Data Model. The goal was to
Kuri, Teele
core
Organic and Metal–Organic Polymer-Based Catalysts—Enfant Terrible Companions or Good Assistants?
This overview provides insights into organic and metal–organic polymer (OMOP) catalysts aimed at processes carried out in the liquid phase. Various types of polymers are discussed, including vinyl (various functional poly(styrene-co-divinylbenzene) and ...
Milan Králik +3 more
doaj +1 more source
A Semantic-Driven for Cohort Data Harmonisation into OMOP CDM Schema
Clinical research often requires integrating data from diverse sources, which differ not only in structure but also in semantics and language. Traditional extract-transform-load (ETL) pipelines struggle to handle semantic variability and lack built-in support for multilingual or ontology-driven harmonisation.
Paradinha, Raquel +3 more
openaire +2 more sources
Ravijärgimus on kontseptsioon, mis näitab, kui korralikult inimene tarvitab temale määratud ravimeid. Eriti oluline on järgimus krooniliste haiguste korral, kus ravi tulemuslikkus sõltub suuresti tarvitamise järjepidevusest ja püsivusest.
Holm, Johannes
core
Transforming the Medicare Claims Data to the OMOP Common Data Model
Integrating heterogeneous healthcare datasets, such as claims and electronic health records, is important for making real-world data analytical-ready but poses challenges due to variations in data structures and clinical terminologies. We developed a systematic Extract, Transform, Load (ETL) pipeline to transform Medicare claims data into the ...
Yao An Lee +4 more
openaire +3 more sources
Harmonizing Medicare Claims Data with OMOP: A Validated ETL Pipeline
This study presents a Python-based Extract, Transform, and Load (ETL) pipeline that converts Medicare Limited Data Set (LDS) claims into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
Guo, Jingchuan Serena +4 more
core
EMR tables and related tables in the OMOP CDM.
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) +4 more
core +1 more source
Lessons learned from implementing OMOP CDM in Japanese oncology
Background: The objective of this study was to determine the capacity of Japanese electronic medical record (EMR) systems to implement large-scale international observational research utilizing the Observational Medical Outcomes Partnership Common Data ...
Yoshihiro Aoyagi +5 more
core +1 more source
Mapping the Bulgarian Diabetes Register to OMOP CDM: Application Results
Background: The Bulgaria Diabetes Register (BDR) contains more than 380 millions of pseudonymized outpatient records with proprietary data structures and format. Objectives: This paper presents the application results and experience acquired during the process of mapping such observational health data to OMOP CDM with the objective of publishing it in ...
Evgeniy Krastev +4 more
openaire +2 more sources
OMOP ETL Framework for Semi-Structured Health Data
Healthcare data are generated in many different formats, which makes it difficult to integrate and reuse across institutions and studies. Standardisation is required to enable consistent large-scale analysis. The OMOP-CDM, developed by the OHDSI community, provides one widely adopted standard.
Desmond, Jacob +5 more
openaire +2 more sources

