Results 21 to 30 of about 5,745 (195)

A computable biomedical knowledge object for calculating in‐hospital mortality for patients admitted with acute myocardial infarction

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, Gema Ruber, Johnson Zhou, Steven Nicklin, Guy Tsafnat   +4 more
doaj   +1 more source

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study

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, Michéle Zoch, Michael Kallfelz, Thomas Ruhnke, Liz Annika Leutner, Melissa Spoden, Christian Günster, Martin Sedlmayr, Franziska Bathelt   +8 more
doaj   +1 more source

Transforming Anesthesia Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

Journal of Medical Internet Research, 2021
BackgroundElectronic health records (EHRs, such as those created by an anesthesia management system) generate a large amount of data that can notably be reused for clinical audits and scientific research. The sharing of these data
Antoine Lamer, Osama Abou-Arab, Alexandre Bourgeois, Adrien Parrot, Benjamin Popoff, Jean-Baptiste Beuscart, Benoît Tavernier, Mouhamed Djahoum Moussa   +7 more
doaj   +1 more source

FAIRifying a Quality Registry Using OMOP CDM: Challenges and Solutions

, 2022
The need for health data to be internationally Findable, Accessible, Interoperable and Reusable (FAIR) and thereby support integrative analysis with other datasets has become crystal clear in the ongoing pandemic. The Dutch National Intensive Care Evaluation (NICE) quality registry adopted the Observational Medical Outcomes Partnership Common Database ...
Puttmann, Daniel, De Keizer, Nicolette, Cornet, Ronald, Van Der Zwan, Eric, Bakhshi-Raiez, Ferishta   +4 more
openaire   +3 more sources

MIMIC in the OMOP Common Data Model [PDF]

, 2020
ObjectivesIn the era of big data, the intensive care unit (ICU) is very likely to benefit from real-time computer analysis and modeling based on close patient monitoring and Electronic Health Record data. MIMIC is the first open access database in the ICU domain.
Nicolas Paris, Adrien Parrot
openaire   +1 more source

Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases

BMC Medical Research Methodology, 2021
Background The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) can be used to transform observational health data to a common format.
Patricia Biedermann, Rose Ong, Alexander Davydov, Alexandra Orlova, Philip Solovyev, Hong Sun, Graham Wetherill, Monika Brand, Eva-Maria Didden   +8 more
doaj   +1 more source

Semi-Automated Mapping of German Study Data Concepts to an English Common Data Model

Applied Sciences, 2023
The standardization of data from medical studies and hospital information systems to a common data model such as the Observational Medical Outcomes Partnership (OMOP) model can help make large datasets available for analysis using artificial intelligence
Anna Chechulina, Jasmin Carus, Philipp Breitfeld, Christopher Gundler, Hanna Hees, Raphael Twerenbold, Stefan Blankenberg, Frank Ückert, Sylvia Nürnberg   +8 more
doaj   +1 more source

Design and Implementation of a State-Wide Network for Near Real-Time Public Health Surveillance and Research: The Minnesota Electronic Health Record Consortium Experience. [PDF]

Learn Health Syst
ABSTRACT Objective The Minnesota Electronic Health Record Consortium (MNEHRC) was established during the early days of the COVID‐19 pandemic to provide data for public health surveillance from the eleven largest health care systems in Minnesota. Methods This is a descriptive study of the Consortium, which is a federated network that implements best ...
Johnson SG, Chamberlain AM, Drawz P, Dudley RA, Waring SC, Winkelman T, Bodurtha P, Bergmann K, Essien I, Rai NK, Patnoe ST, Margolis KL, MN EHR Consortium.   +12 more
europepmc   +2 more sources

Comparison of First-Line Dual Combination Treatments in Hypertension: Real-World Evidence from Multinational Heterogeneous Cohorts. [PDF]

, 2020
Background and objectives: 2018 ESC/ESH Hypertension guideline recommends 2-drug combination as initial anti-hypertensive therapy. However, real-world evidence for effectiveness of recommended regimens remains limited.
Cho, Jaehyeong, Hripcsak, George, Jung, Sungjae, Lee, Seongwon, Park, Rae Woong, Park, Sungha, Ryan, Patrick B, Schuemie, Martijn J, Suchard, Marc A, Swerdel, Joel N, You, Seng Chan   +10 more
core   +2 more sources

Cancer Prediction on OMOP CDM – a Rapid Review

, 2022
Introduction: Omics technologies have led to significant advances in identifying novel disease-associated mutations and generated large amounts of data, which, in conjunction with clinical data, is highly useful in deriving population- and patient-level predictions [ref:1]. However, data [for full text, please go to the a.m. URL]
Ahmadi, N, Peng, Y, Wolfien, M, Zoch, M, Sedlmayr, M   +4 more
openaire   +1 more source