Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
Abstract The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major
challenges and threats for humankind need to be addressed with global answers and …
challenges and threats for humankind need to be addressed with global answers and …
[HTML][HTML] Artificial intelligence for COVID-19: Battling the pandemic with computational intelligence
The new coronavirus disease 2019 (COVID-19) has become a global pandemic leading to
over 180 million confirmed cases and nearly 4 million deaths until June 2021, according to …
over 180 million confirmed cases and nearly 4 million deaths until June 2021, according to …
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 …
The natural history of symptomatic COVID-19 during the first wave in Catalonia
The natural history of coronavirus disease 2019 (COVID-19) has yet to be fully described.
Here, we use patient-level data from the Information System for Research in Primary Care …
Here, we use patient-level data from the Information System for Research in Primary Care …
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well
characterized in multi-national settings with appropriate controls. We leveraged electronic …
characterized in multi-national settings with appropriate controls. We leveraged electronic …
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models
Linear mixed models are commonly used in healthcare-based association analyses for
analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations …
analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations …
COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries
Objective Patients with autoimmune diseases were advised to shield to avoid coronavirus
disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized …
disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized …
Scalable infrastructure supporting reproducible nationwide healthcare data analysis toward FAIR stewardship
Transparent and FAIR disclosure of meta-information about healthcare data and
infrastructure is essential but has not been well publicized. In this paper, we provide a …
infrastructure is essential but has not been well publicized. In this paper, we provide a …
[HTML][HTML] A retrospective analysis of COVID-19 mRNA vaccine breakthrough infections–risk factors and vaccine effectiveness
A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk
Factors and Vaccine Effectiveness - PMC Back to Top Skip to main content NIH NLM Logo …
Factors and Vaccine Effectiveness - PMC Back to Top Skip to main content NIH NLM Logo …
Why is the electronic health record so challenging for research and clinical care?
Background The electronic health record (EHR) has become increasingly ubiquitous. At the
same time, health professionals have been turning to this resource for access to data that is …
same time, health professionals have been turning to this resource for access to data that is …