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 …

Background The promise of digital health is principally dependent on the ability to
electronically capture data that can be analyzed to improve decision-making. However, the …

Demand for clinical decision support systems in medicine and self-diagnostic symptom
checkers has substantially increased in recent years. Existing platforms rely on knowledge …

Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …

Background: In clinical prediction modelling, missing data can occur at any stage of the
model pipeline; development, validation or deployment. Multiple imputation is often …

Electronic health records (EHRs) are an increasingly utilized resource for clinical research.
While their size allows for many analytical opportunities, as with most observational data …

Objective An individual's birth month has a significant impact on the diseases they develop
during their lifetime. Previous studies reveal relationships between birth month and several …

Objectives Collider bias is a common threat to internal validity in clinical research but is
rarely mentioned in informatics education or literature. Conditioning on a collider, which is a …

Background To demonstrate that subject selection based on sufficient laboratory results and
medication orders in electronic health records can be biased towards sick patients. Methods …

Background The medical discharge letter is an important communication tool between
hospitals and other healthcare providers. Despite its high status, it often does not meet the …