Artificial intelligence (AI) has huge potential to improve the health and well-being of people,
but adoption in clinical practice is still limited. Lack of transparency is identified as one of the …

Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

Objective This article describes a scalable, performant, sustainable global network of
electronic health record data for biomedical and clinical research. Materials and Methods …

Objective We extended a 2013 literature review on electronic health record (EHR) data
quality assessment approaches and tools to determine recent improvements or changes in …

Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …

Objective The aim of this study was to collect and synthesize evidence regarding data
quality problems encountered when working with variables related to social determinants of …

Abstract Background For some SARS-CoV-2 survivors, recovery from the acute phase of the
infection has been grueling with lingering effects. Many of the symptoms characterized as …

The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Background: Current guidelines recommend using direct oral anticoagulants (DOACs) over
warfarin in patients with atrial fibrillation (AF), but head-to-head trial data do not exist to …

Background Decision-making and strategies to improve service delivery must be supported
by reliable health data to generate consistent evidence on health status. The data quality …