Results 41 to 50 of about 83,162 (185)

Transforming Documents of the Austrian Nationwide EHR System into the OMOP CDM

, 2023
The Austrian nationwide EHR system ELGA can contribute valuable data for research due to its high volume of data and broad population coverage. In order to be applicable in international research projects, transformation to a standardized, research-oriented data model such as the OMOP common data model is essential.
Raffael Lukas Korntheuer, Florian Katsch, Georg Duftschmid   +2 more
openaire   +3 more sources

Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model

Frontiers in Public Health, 2023
The COVID-19 pandemic has spurred the use of AI and DS innovations in data collection and aggregation. Extensive data on many aspects of the COVID-19 has been collected and used to optimize public health response to the pandemic and to manage the ...
Sylvia Kiwuwa-Muyingo, Jim Todd, Tathagata Bhattacharjee, Amelia Taylor, Jay Greenfield   +4 more
doaj   +1 more source

ZfKD | OMOP CDM - Metadata Cataloge

Data integration and interoperability are fundamental aspects of implementing the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM).
Mareile Beernink, Jasmin Carus
core   +3 more sources

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model [PDF]

, 2022
Background Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by the
Jiang, Guoqian, Nansu Zong, Deepak K. Sharma, Emily Pfaff, Xiao, Guohui, Kathryn J. Ruddy, Christopher G. Chute, Guoqian Jiang, Sharma, Deepak K., Yue Yu, Booth, David, Ruddy, Kathryn J., Chute, Christopher G., Eric Prud'hommeaux, Pfaff, Emily, David Booth, Guohui Xiao, Prud'hommeaux, Eric, Yu, Yue, Nan Huo, Huo, Nan, Zong, Nansu   +21 more
core   +1 more source

Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study

Scientific Reports, 2021
Well-defined large-volume polysomnographic (PSG) data can identify subgroups and predict outcomes of obstructive sleep apnea (OSA). However, current PSG data are scattered across numerous sleep laboratories and have different formats in the electronic ...
Jeong-Whun Kim, Seok Kim, Borim Ryu, Wongeun Song, Ho-Young Lee, Sooyoung Yoo   +5 more
doaj   +1 more source

DrugUtilisation: An R Package to Support Drug Utilisation Research Using the OMOP Common Data Model. [PDF]

Pharmacoepidemiol Drug Saf
ABSTRACT Purpose To develop and describe DrugUtilisation, an open‐source R package that facilitates drug utilisation studies using data mapped to the OMOP Common Data Model (CDM). Methods Core functionalities include creating drug user cohorts, identifying and summarising indications, describing the duration and dose of medication/s and assessing ...
Guo Y, Burn E, Jödicke AM, Mercadé-Besora N, Lopez-Güell K, Chen X, Du M, Li X, Kolde R, Oja M, Mosseveld M, Verhamme K, Politi J, Delmestri A, Man WY, Rijnbeek P, Prieto-Alhambra D, Català M.   +17 more
europepmc   +2 more sources

Mapping Cancer Registry Data to the Episode Domain of the Observational Medical Outcomes Partnership Model (OMOP)

Applied Sciences, 2022
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts of data. A solution could be its mapping to a common data model such as OMOP, which represents knowledge in a unified ...
Jasmin Carus, Sylvia Nürnberg, Frank Ückert, Catarina Schlüter, Stefan Bartels   +4 more
doaj   +1 more source

Implementation of OMOP and ConcePTION Common Data Models in CPRD GOLD: Risk of Bleeding and Cardiovascular Outcomes From Anticoagulant Use. [PDF]

Clin Pharmacol Ther
The impact of the choice of common data model (CDM) approach on the study results in a real‐world evidence (RWE) study is unknown. We aimed to determine potential differences in the results of an RWE study when data were mapped to two different CDMs, ConcePTION and OMOP. With the same instance of CPRD GOLD, data were mapped to both CDMs. Using the same
Hunt NB, Souverein P, Bazelier M, Barclay N, Delmestri A, Sturkenboom M, Prieto-Alhambra D, Gardarsdottir H, Klungel O.   +8 more
europepmc   +2 more sources

Harmonizing population health data into OMOP common data model: a demonstration using COVID-19 sero-surveillance data from Nairobi Urban Health and Demographic Surveillance System

Frontiers in Digital Health
BackgroundObservational health data are collected in different formats and structures, making it challenging to analyze with common tools. The Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM) is a standardized data model that can ...
Michael Ochola, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, David Amadi, Maureen Ng’etich, Damazo Kadengye, Henry Owoko, Boniface Igumba, Jay Greenfield, Jim Todd, Agnes Kiragga, Agnes Kiragga   +11 more
doaj   +1 more source

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

JMIR Medical Informatics, 2021
BackgroundIn the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data.
Nicolas Paris, Antoine Lamer, Adrien Parrot   +2 more
doaj   +1 more source