OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization

C Reich, A Ostropolets, P Ryan… - Journal of the …, 2024 - academic.oup.com
Abstract Importance The Observational Health Data Sciences and Informatics (OHDSI) is the
largest distributed data network in the world encompassing more than 331 data sources with …

Data resource profile: the integrated primary care information (IPCI) database, The Netherlands

MAJ de Ridder, M de Wilde, C de Ben… - International Journal …, 2022 - academic.oup.com
GP practices included in the IPCI database are mainly located in the central part of the
country, including the most densely populated area (the 'Randstad') but also non-urban …

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

A Prats-Uribe, AG Sena, LYH Lai, H Alghoul, O Alser… - bmj, 2021 - bmj.com
Objective To investigate the use of repurposed and adjuvant drugs in patients admitted to
hospital with covid-19 across three continents. Design Multinational network cohort study …

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

V Papez, M Moinat, EA Voss, S Bazakou… - Journal of the …, 2023 - academic.oup.com
Objective The coronavirus disease 2019 (COVID-19) pandemic has demonstrated the value
of real-world data for public health research. International federated analyses are crucial for …

[HTML][HTML] Establishment of an international evidence sharing network through common data model for cardiovascular research

SC You, S Lee, B Choi, RW Park - Korean Circulation Journal, 2022 - ncbi.nlm.nih.gov
ABSTRACT A retrospective observational study is one of the most widely used research
methods in medicine. However, evidence postulated from a single data source likely …

[HTML][HTML] Natural language processing for improved characterization of COVID-19 symptoms: Observational study of 350,000 patients in a large integrated health care …

DE Malden, SY Tartof, BK Ackerson… - JMIR Public Health …, 2022 - publichealth.jmir.org
Background: Natural language processing (NLP) of unstructured text from electronic medical
records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large …

Transforming the information system for research in primary care (SIDIAP) in Catalonia to the OMOP common data model and its use for COVID-19 research

B Raventós, S Fernández-Bertolín, M Aragón… - Clinical …, 2023 - Taylor & Francis
Purpose The primary aim of this work was to convert the Information System for Research in
Primary Care (SIDIAP) from Catalonia, Spain, to the Observational Medical Outcomes …

Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a …

EA Voss, A Shoaibi, LYH Lai, C Blacketer… - …, 2023 - thelancet.com
Background Adverse events of special interest (AESIs) were pre-specified to be monitored
for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with …

Data standards and standardization: the shortest plank of bucket for the COVID-19 containment

M Gong, Y Jiao, Y Gong, L Liu - The Lancet Regional Health …, 2022 - thelancet.com
Mengchun Gong, a, b* Yuanshi Jiao, c Yang Gong, d and Li Liu a aNanfang Hospital,
Southern Medical University, Guangzhou, China bInstitute of Health Management, Southern …

Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study

C Reyes, A Pistillo, S Fernández-Bertolín, M Recalde… - BMJ open, 2021 - bmjopen.bmj.com
Objective To characterise patients with and without prevalent hypertension and COVID-19
and to assess adverse outcomes in both inpatients and outpatients. Design and setting This …