Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

Objectives Electronic health record-based clinical decision support (CDS) has the potential
to improve health outcomes. This systematic review investigates the design, effectiveness …

BACKGROUND: Heart failure is a prevailing diagnosis of hospitalization and readmission
within 6 months, and nearly a quarter of these patients die within a year. Guideline-directed …

The recent announcement of the production of new low-cost continuous glucose monitoring
(CGM) sensors, the approval of marketed CGM sensors for making treatment decisions, and …

Objectives Artificial intelligence (AI), including predictive analytics, has great potential to
improve the care of common chronic conditions with high morbidity and mortality. However …

Background As the uptake of health information technologies increased, most healthcare
organizations have become producers of big data. A growing number of hospitals are …

Background Visual analytics (VA) promotes the understanding of data with visual, interactive
techniques, using analytic and visual engines. The analytic engine includes automated …

Background: Information overflow, a common problem in the present clinical environment,
can be mitigated by summarizing clinical data. Although there are several solutions for …

Diabetes, a metabolic disorder disease, can cause short-term acute or even long-term
chronic complications in a patient's body. In 2021, 10.5% of the world's adult population had …

Background. There is growing evidence that social and behavioral determinants of health
(SBDH) play a substantial effect in a wide range of health outcomes. Electronic health …