Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …

Background: Despite increasing emphasis on the role of clinical decision-support systems
(CDSSs) for improving care and reducing costs, evidence to support widespread use is …

Objective: The objective of this review is to summarize the state of the art of clinical decision
support (CDS) circa 1990, review progress in the 25 year interval from that time, and provide …

Objective To synthesize the literature on clinical decision-support systems'(CDSS) impact on
healthcare practitioner performance and patient outcomes. Design Literature search on …

Precision psychiatry is an emerging field with transformative opportunities for mental health.
However, the use of clinical prediction models carries unprecedented ethical challenges …

This chapter discusses information technology that provides health-care workers and
patients with situation-specific advice that can inform their decision making. The intricacies …

The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …

Background Recent advances in machine and deep learning based on an increased
availability of clinical data have fueled renewed interest in computerized clinical decision …

This document comprises an AMIA Board of Directors approved White Paper that presents a
roadmap for national action on clinical decision support. It is published in JAMIA for archival …

There is a pressing need for high-quality, effective means of designing, developing,
presenting, implementing, evaluating, and maintaining all types of clinical decision support …