Clinical decision support systems are interactive software systems designed to help
clinicians with decision-making tasks, such as determining a diagnosis or recommending a …

Machine learning (ML) holds signifi-cant promise for improving clinical care. 1 To facilitate
their appropriate and effective use, it is important that clinical guidance based on these ML …

The goal of this article is to describe an integrated parallel process for the co-development of
written and computable clinical practice guidelines (CPGs) to accelerate adoption and …

Bias in clinical reasoning has been identified as one of the main sources of diagnostic
errors. Clinical Decision Support Systems that suggest possible diagnoses and provide …

Background Limited consideration of clinical decision support (CDS) design best practices,
such as a user-centered design, is often cited as a key barrier to CDS adoption and …

Importance Contextualizing care is a process of incorporating information about the life
circumstances and behavior of individual patients, termedcontextual factors, into their plan of …

Objectives:: This study sought to develop a functional taxonomy of rule-based clinical
decision support. Design: The rule-based clinical decision support content of a large …

Objectives Clinical information system (CIS) developers and implementers have begun to
look to other scientific disciplines for new methods, tools, and techniques to help them better …

Objective To derive and validate a model of risk of septic shock among children with
suspected sepsis, using data known in the electronic health record at hospital arrival. Study …

Purpose A majority of clinical decisions use the electronic health record (EHR) and there is
an unmet need to use its capability to help providers to make evidence-based decisions that …