Results 41 to 50 of about 2,261 (201)

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

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale

BMC Medical Informatics and Decision Making, 2022
Background Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data.
Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati, Clement Bizimana, Stefan Jansen, Celestin Twizere, Kizito Nkurikiyeyezu, Francine Birungi, Sabin Nsanzimana, Marc Twagirumukiza   +22 more
doaj   +1 more source

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

BMC Medical Research Methodology, 2020
Background To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validation across a ...
Jenna M. Reps, Ross D. Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B. Ryan, Rae Woong Park, Hong-Seok Lim, Peter Rijnbeek   +9 more
doaj   +1 more source

OHDSI/PhenotypeLibrary: Release v3.17.0

, 2023
See NEWS.md for release ...
Gowtham Rao
core   +1 more source

Evaluating the performance of temporal pattern discovery: new application using statins and rhabdomyolysis in OMOP databases

BMC Medical Informatics and Decision Making, 2022
Background Temporal pattern discovery (TPD) is a method of signal detection using electronic healthcare databases, serving as an alternative to spontaneous reporting of adverse drug events.
M. Lavallee, T. Yu, L. Evans, M. Van Hemelrijck, C. Bosco, A. Golozar, A. Asiimwe   +6 more
doaj   +1 more source

OHDSI/PhenotypeLibrary: Release v3.17.1

, 2023
See NEWS.md for release ...
Gowtham Rao
core   +1 more source

OHDSI/PhenotypeLibrary: Release v3.16.2

, 2023
See NEWS.md for release ...
Gowtham Rao
core   +1 more source

Characteristics and treatment pathways in pediatric and adult hidradenitis suppurativa: An examination using real world dataCapsule Summary

JAAD International, 2023
Background: Hidradenitis suppurativa (HS) is a chronic, debilitating, inflammatory disease. Contemporaneous real-world data can be used to elucidate the clinical treatment of pediatric patients and how treatment strategies compare with adult hidradenitis
Jill Hardin, PhD, Rupa Makadia, PhD, Shawn Black, PhD, Irene Lara-Corrales, MD, Lucia Z. Diaz, MD, Joslyn S. Kirby, MD, Cynthia M.C. DeKlotz, MD   +6 more
doaj   +1 more source

OHDSI cohort definitions and data analyses

, 2022
The upload comprises cohort definitions that can be integrated into OHDSI ATLAS and used on a local OMOP data base. The concept set included refer to ICD-10GM codes for diabetes and diabetes related eye-diseases.
Bathelt, Franziska
core   +1 more source

Advancing Toward a Common Data Model in Ophthalmology

Ophthalmology Science, 2023
Purpose: Evaluate the degree of concept coverage of the general eye examination in one widely used electronic health record (EHR) system using the Observational Health Data Sciences and Informatics Observational Medical Outcomes Partnership (OMOP) common
Cindy X. Cai, MD, MS, William Halfpenny, MB, BChir, MEng, Michael V. Boland, MD, PhD, Harold P. Lehmann, MD, PhD, Michelle Hribar, PhD, Kerry E. Goetz, MS, Sally L. Baxter, MD, MSc   +6 more
doaj   +1 more source