Data drift refers to differences between the data used in training a machine learning (ML)
model and that applied to the model in real-world operation. Medical ML systems can be …

Purpose The purpose of this review was to ascertain the impact of thermoregulation quality
improvement initiatives (QIs) on the admission temperatures of premature/very‐low‐birth …

Importance Quality improvement platforms commonly use risk-adjusted morbidity and
mortality to profile hospital performance. However, given small hospital caseloads and low …

Background Reduction of unnecessary head computed tomographies (CTs) in patients with
mild traumatic brain injury (MTBI) was recently endorsed by American College of Emergency …

Background To evaluate the effectiveness of a structured prescription review and prescriber
feedback program in reducing prescribing errors in government primary care clinics within …

PURPOSE We compared the transformation experience of 2 family medicine practices that
implemented the Primary Care Redesign (PCR) team-based model to improve access …

Objective Determine effects of evidence-based clinical decision support (CDS) on the use
and yield of computed tomographic pulmonary angiography for suspected pulmonary …

GEORGE, Doris et al. Effectiveness of a pharmacist-led quality improvement program to
reduce medication errors during hospital discharge. Pharmacy Pract (Granada)[online] …

METHODS: We examined the effectiveness of 2 mental health quality improvement
strategies: an electronic referral and a social work follow-up protocol. We analyzed the …

OBJECTIVE. The efficacy of imaging clinical decision support (CDS) varies. Our objective
was to identify CDS factors contributing to imaging order cancellation or modification …