Results 21 to 30 of about 1,082 (160)
Cancer Prediction on OMOP CDM - a Rapid Review
, 2022 In this review, we evaluate the current potential of the OMOP to be applicable in cancer prediction and how comprehensively the genomic vocabulary extension of OMOP can serve current needs within the ...
Ahmadi, N +4 more
openaire +2 more sources
OMOP-hallintamallin kehitys : Tiedon ja liiketoimintaprosessien hallinta OMOP-tutkimustietokannan hyödyntämisen ja kehittämisen hallinnassa [PDF]
Kansainvälisen terveydenhuollon tutkimuksen tekeminen on haastavaa yhteisten standardien ja toimintatapojen puuttuessa. Observational Medical Outcomes Partnership -projektissa luotiin yhtenäinen OMOP-tietomalli, joka mahdollistaa vertailukelpoisen tutkimuksen tekemisen kaikkien niiden toimijoiden kesken, jotka vievät terveystiedot OMOP-tietomallin ...
Pekkanen, Niina
openaire +2 more sources
Conceptual design of a generic data harmonization process for OMOP common data model
BMC Medical Informatics and Decision MakingBackground To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is necessary.
Elisa Henke +5 more
doaj +2 more sources
The Usage of OHDSI OMOP – A Scoping Review [PDF]
, 2021 OHDSI, a fast growing open-science research community seeks to enable researchers from around the globe to conduct network studies based on standardized data and vocabularies. There is no comprehensive review of publications about OHDSI’s standard: the OMOP Common Data Model and its usage available.
Ines Reinecke +4 more
openaire +3 more sources
Adaption of the OMOP CDM for Rare Diseases [PDF]
, 2021 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.
Michele Zoch +6 more
openaire +3 more sources
Learning Health Systems, 2023 Introduction Quality indicators play an essential role in a learning health system. They help healthcare providers to monitor the quality and safety of care delivered and to identify areas for improvement.
Rosemarie Sadsad +4 more
doaj +1 more source
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 +2 more
doaj +1 more source
Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea [PDF]
Healthcare Informatics Research, 2022 Objectives The aim of this study was to characterize the benefits of converting Electronic Medical Records (EMRs) to a common data model (CDM) and to assess the potential of CDM-converted data to rapidly generate insights for benefit-risk assessments in ...
Hui Xing Tan +10 more
doaj +1 more source
, 2023 The Western Health Dataset is an OMOP dataset based on records held at Western Health.The data is derived from an Electronic Medical Records System held in Cerner.While the data is not open access, researchers can enquire about access subject to ethics ...
ROGER WARD (1151036) +1 more
core +1 more source
JMIR Medical Informatics, 2023 BackgroundNational classifications and terminologies already routinely used for documentation within patient care settings enable the unambiguous representation of clinical information.
Elisa Henke +8 more
doaj +1 more source