OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review [PDF]
International Journal of Molecular Sciences, 2022 The current generation of sequencing technologies has led to significant advances in identifying novel disease-associated mutations and generated large amounts of data in a high-throughput manner.
Markus Wolfien +2 more
exaly +5 more sources
Perceived Risk of Re-Identification in OMOP-CDM Database: A Cross-Sectional Survey. [PDF]
J Korean Med Sci, 2022 The advancement of information technology has immensely increased the quality and volume of health data. This has led to an increase in observational study, as well as to the threat of privacy invasion. Recently, a distributed research network based on the common data model (CDM) has emerged, enabling collaborative international medical research ...
Tak YW +5 more
europepmc +4 more sources
An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation [PDF]
JMIR Medical Informatics, 2023 BackgroundIn the Medical Informatics in Research and Care in University Medicine (MIRACUM) consortium, an IT-based clinical trial recruitment support system was developed based on the Observational Medical Outcomes Partnership (OMOP) Common Data Model ...
Elisa Henke +5 more
doaj +2 more sources
OMOP-on-FHIR: Integrating the Clinical Data Through FHIR Bundle to OMOP CDM
Studies in Health Technology and InformaticsThe harmonization of the OMOP Common Data Model (CDM) with HL7 FHIR aims to enhance interoperability in clinical research by harmonizing diverse healthcare datasets. This process, referred to as OMOP-on-FHIR, leverages FHIR Bundles for real-time clinical data exchange and transforms these resources into OMOP CDM format using an ETL process.
Stefan Sauermann, Rada Hussein
exaly +3 more sources
Implementation of a common data model in Health Data Research Network Canada: Lessons learned [PDF]
International Journal of Population Data ScienceBackground The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is a standardized structure for observational data that enables collaborative health research.
Lisa Lix +3 more
doaj +2 more sources
An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features [PDF]
Frontiers in BioinformaticsEfficient data sharing is crucial for the secondary use of healthcare data, which represents one of the greatest opportunities to advance pathophysiological knowledge and improve health outcomes.
Pierluigi Reali +5 more
doaj +2 more sources
Studies in Health Technology and InformaticsThis paper introduces the concept of the implementation of a FHIR server for bidirectional data exchange with the OMOP-CDM. Leveraging FHIR as a metamodel, the implementation aims to promote a more interconnected and patient-centric healthcare ecosystem.
Stefan Sauermann, Rada Hussein
exaly +3 more sources
Data harmonization processes of cancer data into the observational medical outcomes partnership common data model [PDF]
Scientific ReportsCancer data is inherently complex and heterogeneous, originating from diverse sources with differing formats, terminologies, and structures, leading to significant interoperability challenges.
Ifani Pinto Nada, Stefano Bonacina
doaj +2 more sources
Harmonizing patient health data into the OMOP common data model: a case study using tuberculosis data from Douala General Hospital, Cameroon [PDF]
Frontiers in Digital HealthIntroductionDouala General Hospital is a tertiary healthcare facility in Cameroon that serves thousands of patients annually. Despite maintaining extensive patient records with potential for public health research, most data remain paper-based, limiting ...
Brenda Mbouamba Yankam +16 more
doaj +2 more sources
Addressing Data Quality Challenges in Lung Cancer Data Within the Observational Medical Outcomes Partnership Common Data Model: Observational Study [PDF]
Journal of Medical Internet ResearchBackgroundThe secondary use of health data is essential for advancing medical research and improving clinical practice. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) enables large-scale, multicenter studies but faces ...
Jens Declerck +4 more
doaj +2 more sources