Results 31 to 40 of about 1,444 (142)

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

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

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

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

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

Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data [PDF]

, 2021
Information Technology (IT) and specialized systems could have a prominent role towards the support of drug safety processes, both in the clinical context but also beyond that. PVClinical project aims to build an IT platform, enabling the investigation of potential Adverse Drug Reactions (ADRs).
Vlasios K, Dimitriadis, George I, Gavriilidis, Pantelis, Natsiavas   +2 more
openaire   +2 more sources

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

Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research [PDF]

Healthcare Informatics Research, 2016
ObjectivesA distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size.
Dukyong Yoon, Eun Kyoung Ahn, Man Young Park, Soo Yeon Cho, Patrick Ryan, Martijn J. Schuemie, Dahye Shin, Hojun Park, Rae Woong Park   +8 more
doaj   +1 more source

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

, 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 an existing national feasibility network and thus foster capabilities for future participation in ...
Ines, Reinecke, Mirko, Gruhl, Martin, Pinnau, Fatma Betül, Altun, Michael, Folz, Michéle, Zoch, Franziska, Bathelt, Martin, Sedlmayr   +7 more
openaire   +2 more sources

Recommendations to Enable Broader Use of Real-World Evidence to Inform Decision-Making Throughout Pharmacovigilance Signal Management. [PDF]

Pharmacoepidemiol Drug Saf
ABSTRACT Introduction Despite substantial investments in analytical infrastructure and scientific research related to the development and analysis of real‐world evidence in support of signal management, the impact on routine pharmacovigilance activities has been limited.
Norén GN, Donegan K, Muñoz MA, Alshammari TM, Pratt N, Candore G, Morales D, Rijnbeek P, Bate A, Postigo R, Toh S, Trifirò G, Gabarro MS, Cave A, Ryan PB.   +14 more
europepmc   +2 more sources