Background Successful implementation and utilization of Computerized Clinical Decision
Support Systems (CDSS) in hospitals is complex and challenging. Implementation science …

Introduction. In recent years, the use of dashboards in healthcare has been considered an
effective approach for the visual presentation of information to support clinical and …

Background Due to the rapid advancements in precision medicine and artificial intelligence,
interdisciplinary collaborations between nursing and engineering have emerged. Although …

Objective A learning health care system (LHS) uses routinely collected data to continuously
monitor and improve health care outcomes. Little is reported on the challenges and methods …

Objective To determine user and electronic health records (EHR) integration requirements
for a scalable remote symptom monitoring intervention for asthma patients and their …

Background Improving shared decision-making using a treat-to-target approach, including
the use of clinical outcome measures, is important to providing high quality care for …

Background Poor discharge preparation during hospitalization may lead to adverse events
after discharge. Checklists and videos that systematically engage patients in preparing for …

Background The introduction of electronic workflows has allowed for the flow of raw
uncontextualized clinical data into medical documentation. As a result, many electronic …

Background Critical instability forecast and treatment can be optimized by artificial
intelligence (AI)-enabled clinical decision support. It is important that the user-facing display …

Objectives (1) Systematically review the literature on computerized audit and feedback (eA
&F) systems in healthcare.(2) Compare features of current systems against eA &F best …