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OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization
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 …
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 …
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
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 …
hospital with covid-19 across three continents. Design Multinational network cohort study …
[HTML][HTML] Establishment of an international evidence sharing network through common data model for cardiovascular research
A retrospective observational study is one of the most widely used research methods in
medicine. However, evidence postulated from a single data source likely contains biases …
medicine. However, evidence postulated from a single data source likely contains biases …
Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond
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 …
of real-world data for public health research. International federated analyses are crucial for …
构建中医药特色真实世界临床研究新模式的实践与思考
周雪忠， 王世华， 张迪， 雒琳， 黄杏贤， 兰天， 张润顺… - 科技导报, 2023 - kjdb.org
结合国内外真实世界临床研究与人工智能技术等的研究进展, 围绕开展高质量真实世界中医药
临床研究的理念, 方法与技术等问题, 论述了真实世界研究范式转化, 以临床问题为导向的研究 …
临床研究的理念, 方法与技术等问题, 论述了真实世界研究范式转化, 以临床问题为导向的研究 …
Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a …
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 …
for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with …
[HTML][HTML] Natural language processing for improved characterization of COVID-19 symptoms: observational study of 350,000 patients in a large integrated health care …
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 …
records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large …
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 …
Southern Medical University, Guangzhou, China bInstitute of Health Management, Southern …
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
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 …
Primary Care (SIDIAP) from Catalonia, Spain, to the Observational Medical Outcomes …