Results 101 to 110 of about 5,745 (195)

Performance of the Self‐Controlled Case Series for Drug Safety Signal Detection: A Multi‐Database Study

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 2, February 2026.
ABSTRACT Background Differences in performance of the Self‐Controlled Case Series (SCCS) for signal detection have been reported across different databases. However, there has been limited comparative analysis of performance and it remains unknown whether combinations of databases could enable more effective signal detection. Objectives This study aims
Astrid Coste, Angel Y. S. Wong, Francois Haguinet, Andrew Bate, Ian J. Douglas   +4 more
wiley   +1 more source

Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0. [PDF]

PURPOSE: Defining a study population and creating an analytic dataset from longitudinal healthcare databases involves many decisions. Our objective was to catalogue scientific decisions underpinning study execution that should be reported to facilitate ...
Berger, Marc L, Brown, Jeffrey, de Vries, Frank, Douglas, Ian, Gagne, Joshua J, Gini, Rosa, joint ISPE-ISPOR Special Task Force on Real World Evidence in He, Klungel, Olaf, Mullins, C Daniel, Nguyen, Michael D, Rassen, Jeremy A, Schneeweiss, Sebastian, Smeeth, Liam, Sturkenboom, Miriam, Wang, Shirley V   +14 more
core   +1 more source

Evaluation of a Multi-Component Phenotype Algorithm for Systemic Lupus Erythematosus across the PCORnet, OMOP, and i2b2 Common Data Models

International Journal of Population Data Science
The aim of this study was to evaluate the performance of a computable phenotype for systemic lupus erythematosus (SLE) patients when it is ported from a local data warehouse to the i2b2, OMOP, and PCORnet CDMs.
Steven Tran, Luke Rasmussen, Jennifer Pacheco, Philip Silberman, Martin Borsje, Prasanth Nannapaneni, Daniel Schneider, Yuan Luo, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas   +10 more
doaj   +1 more source

OMOP-on-FHIR: A FHIR Server Development to Facilitate Data Interaction with the OMOP-CDM and FHIR for PGHD

This paper introduces the concept of the implementation of a FHIR server for bidirectional data exchange with the OMOP-CDM. Leveraging FHIR as a metamodel, the implementation aims to promote a more interconnected and patient-centric healthcare ecosystem.
Jathissa, Prabath, Rohatsch, Lukas, Sauermann, Stefan, Hussein, Rada   +3 more
openaire   +2 more sources

Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub

Frontiers in Big Data
BackgroundLongitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through different methods to assess conditions like depression, anxiety, and psychosis presents significant ...
Bylhah Mugotitsa, Bylhah Mugotitsa, Tathagata Bhattacharjee, Michael Ochola, Dorothy Mailosi, David Amadi, Pauline Andeso, Joseph Kuria, Reinpeter Momanyi, Evans Omondi, Evans Omondi, Dan Kajungu, Jim Todd, Agnes Kiragga, Agnes Kiragga, Jay Greenfield   +15 more
doaj   +1 more source

Erweiterung des MIRACUM Datenqualitäts-Frameworks für das OMOP-Datenmodell

, 2019
Einleitung: Datenintegration und -aufbereitung zur Sekundärnutzung in der medizinischen Forschung gewinnt aufgrund steigendender Patientenzahlen zunehmend an Bedeutung. Das vom Bundesministerium für Bildung und Forschung im Rahmen der Medizininformatik-Initiative geförderte Konsortium[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Bathelt, F, Reinecke, I, Kümmel, M, Nassirian, A, Sedlmayr, M, Kapsner, L   +5 more
openaire   +2 more sources

Kajian Masalah Gizi dalam Kedaruratan Akibat Bencana dan Konflik [PDF]

, 2001
KAJIAN MASALAH GIZI DALAM KEDARURATAN AKIBAT BENCANA DAN ...
Sudiman, H. (Herman)
core  

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Journal of Medical Internet Research
BackgroundThe integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP).
Meredith CB Adams, Matthew L Perkins, Cody Hudson, Vithal Madhira, Oguz Akbilgic, Da Ma, Robert W Hurley, Umit Topaloglu   +7 more
doaj   +1 more source

KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.

PLoS ONE, 2019
BACKGROUND AND OBJECTIVE:To take full advantage of decision support, machine learning, and patient-level prediction models, it is important that models are not only created, but also deployed in a clinical setting. The KETOS platform demonstrated in this
Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gulden, Lorenz A Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch, Dennis Toddenroth   +12 more
doaj   +1 more source

Dual hologram design study [PDF]

A phase modulated triple exposure technique was incorporated into a holographic nondestructive test (HNDT) system. The technique was able to achieve a goal of simultaneously identifying the zero-order fringe and determining the direction of motion (or ...
Liu, H. K.
core   +1 more source