Results 11 to 20 of about 2,261 (201)

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers [PDF]

Studies in Health Technology and Informatics, 2015
The vision of creating accessible, reliable clinical evidence by accessing the clinical experience of hundreds of millions of patients across the globe is a reality.
Nicole Pratt, G Niklas Noren, Li Yü-Chüan   +2 more
exaly   +10 more sources

INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools [PDF]

Frontiers in Digital Health
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.
Kadengye T Dámazo, Agnes Kiragga
exaly   +7 more sources

OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization [PDF]

Journal of the American Medical Informatics Association: JAMIA
Importance The Observational Health Data Sciences and Informatics (OHDSI) is the largest distributed data network in the world encompassing more than 331 data sources with 2.1 billion patient records across 34 countries.
Martijn Schuemie, Anna Ostropolets, Christian Reich   +2 more
exaly   +6 more sources

OHDSI-compliance: a set of document templates facilitating the implementation and operation of a software stack for real-world evidence generation [PDF]

Frontiers in Medicine
IntroductionThe open-source software offered by the Observational Health Data Science and Informatics (OHDSI) collective, including the OMOP-CDM, serves as a major backbone for many real-world evidence networks and distributed health data analytics ...
Fabian Prasser
exaly   +5 more sources

Representing and utilizing clinical textual data for real world studies: An OHDSI approach [PDF]

Journal of Biomedical Informatics, 2023
Clinical documentation in electronic health records contains crucial narratives and details about patients and their care. Natural language processing (NLP) can unlock the information conveyed in clinical notes and reports, and thus plays a critical role
Michael Gurley
exaly   +4 more sources

An OHDSI ATLAS Extension to Support Feasibility Requests in a Research Network

Studies in Health Technology and Informatics, 2022
Checking the feasibility of real-world data to answer a certain research question is crucial especially in a multi-site research network. In this work we present an extension of the ATLAS user interface for the OMOP common data model that integrates into
Michael Folz, Martin Sedlmayr, Fatma Betul Altun   +2 more
exaly   +4 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 ...

exaly   +4 more sources

ATC-to-RxNorm mappings – A comparison between OHDSI Standardized Vocabularies and UMLS Metathesaurus

International Journal of Medical Informatics
INTRODUCTION The World Health Organization global standard for representing drug data is the Anatomical Therapeutic Chemical (ATC) classification. However, it does not represent ingredients and other drug properties required by clinical decision support ...
Rowdy de Groot, Ronald Cornet, Stephanie Medlock   +2 more
exaly   +6 more sources

Mapping National Vocabularies to International Standards Using OHDSI Standardized Vocabularies

Studies in Health Technology and Informatics
Ensuring semantic interoperability in international studies is crucial. In this context, the mapping of national to international vocabularies is necessary. The Standardized Vocabularies of OHDSI provide such a mapping, which forms the basis for semantic
Martin Sedlmayr, Elisa Henke
exaly   +4 more sources

Feasibility of Converting EMR Data to OMOP CDM and Utilizing OHDSI Analysis Tools in Japan

Studies in Health Technology and Informatics
The study investigates the feasibility of converting electronic medical record (EMR) data to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and utilizing Observational Health Data Sciences and Informatics (OHDSI) analysis ...
Keiichi Nomura
exaly   +5 more sources