Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …

The potential for big data analytics to improve cardiovascular quality of care and patient
outcomes is tremendous. However, the application of big data in health care is at a nascent …

Background As a high-prevalence health condition, hypertension is clinically costly, difficult
to manage, and often leads to severe and life-threatening diseases such as cardiovascular …

Frequent emergency department use is associated with many adverse events, such as
increased risk for hospitalization and mortality. Frequent users have complex needs and …

Objective Improving care transitions for older adults can reduce emergency department (ED)
revisits, and the strain placed upon caregivers. We analyzed whether caregivers felt a …

Objective The study presents an overview of the research activity in Big Data Analytics
(BDA) in the field of health and demonstrates the existing knowledge through related …

Background Digital health tools comprise a wide range of technologies to support health
processes. The potential of these technologies to effectively support health care …

Health informatics is a vital technology that holds great promise in the healthcare setting. We
describe two prominent health informatics tools relevant to emergency care, as well as the …

Objective This study sought to create natural language processing algorithms to extract the
presence of social factors from clinical text in 3 areas:(1) housing,(2) financial, and (3) …

Objective As available data increases, so does the opportunity to develop risk scores on
more refined patient populations. In this paper we assessed the ability to derive a risk score …