Equitable and effective clinical guidance development and dissemination: trauma aims to lead the way.

Thirty-four per cent of deaths among Americans aged 1-46 are due to injury, and many of these deaths could be prevented if all hospitals performed as well as the highest-performing hospitals. The Institute of Medicine and the National Academies of Science, Engineering and Medicine have called for learning health systems, with emphasis on clinical practice guidelines (CPGs) as a means of limiting preventable deaths. Reduction in mortality has been demonstrated when evidence-based trauma CPGs are adhered to; however, guidelines are variably updated, redundant, absent, inaccessible, or perceived as irrelevant.

Artificial intelligence in the care of children and adolescents with chronic diseases: a systematic review.

Unlabelled: The integration of artificial intelligence (AI) and machine learning (ML) has shown potential for various applications in the medical field, particularly for diagnosing and managing chronic diseases among children and adolescents. This systematic review aims to comprehensively analyze and synthesize research on the use of AI for monitoring, guiding, and assisting pediatric patients with chronic diseases. Five major electronic databases were searched (Medline, Scopus, PsycINFO, ACM, Web of Science), along with manual searches of gray literature, personal archives, and reference lists of relevant papers.

The Dexcom Community Glucose Monitoring Project: 6-Month Results Using Continuous Glucose Monitoring in Type 2 Diabetes.

The Dexcom Community Glucose Monitoring Project is a collaborative, ongoing, primary care-driven public health initiative designed to provide continuous glucose monitoring (CGM) systems to adults with type 2 diabetes who lack health insurance coverage for CGM. After 6 months of program participation, mean A1C decreased by 2.4 ± 1.