This paper introduces Tiramisu, a polyhedral framework designed to generate high performance code for multiple platforms including multicores, GPUs, and distributed machines. Tiramisu scheduling language with novel commands explicitly manage the complexities that arise when targeting these systems. The is areas of image processing, stencils, linear algebra deep learning. has two main features: it relies on flexible representation based model rich allowing fine-grained control optimizations....

This paper introduces Tiramisu, a polyhedral framework designed to generate high performance code for multiple platforms including multicores, GPUs, and distributed machines. Tiramisu scheduling language with novel extensions explicitly manage the complexities that arise when targeting these systems. The is areas of image processing, stencils, linear algebra deep learning. has two main features: it relies on flexible representation based model rich allowing fine-grained control...

<h3>Importance</h3> Individuals with behavioral disorders are increasingly presenting to the emergency department (ED), and associated episodes of agitation can cause significant safety threats patients staff caring for them. Treatment includes use physical restraints, which may be injuries psychological trauma; date, little is known regarding perceptions restraint among individuals who experienced it in ED. <h3>Objective</h3> To characterize how experience during their ED visits....

This cross-sectional study assesses the association of race/ethnicity and other demographic factors with risk receiving physical restraint during an emergency department (ED) visit.

Problem In March 2020, the novel coronavirus 2019 (COVID-19) became a global pandemic. Medical schools around United States faced difficult decisions, temporarily suspending hospital-based clerkship rotations for medical students due to potential shortages of personal protective equipment and need social distance. This decision created innovative, virtual learning opportunities support undergraduate education. Approach Educators at Yale School Medicine developed student curriculum converting...

Introduction: Emergency medicine is characterized by high volume decision-making while under multiple stressors. With the arrival of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus in early 2020, physicians across world were met with a surge critically ill patients. (EP) are prone to developing burnout and post-traumatic stress disorder (PTSD), due experiencing emotional trauma as well cumulative practice. Thus, calls have been made for attempts prevent physician PTSD...

Emergency departments (EDs) frequently care for individuals with opioid use disorder (OUD). Buprenorphine (BUP) is an effective treatment option patients OUD that can safely be initiated in the ED. At present, BUP rarely as a part of routine ED care. Clinical decision support (CDS) could accelerate adoption ED-initiated into emergency

Domain-specific languages (DSLs) are able to provide intuitive high-level abstractions that easy work with while attaining better performance than general-purpose languages. Yet, implementing new DSLs is a burdensome task. As result, usually embedded in While low-level like C or C++ often as host Python, becoming more prevalent many domains due their ease and flexibility. Here, we present Codon, domain-extensible compiler DSL framework for high-performance Python's syntax semantics. Codon...

Healthcare information technologies are now a routine component of patient-clinician interactions. Originally designed for operational functions including billing and regulatory compliance, these systems have had unintended consequences increased exam room documentation, divided attention during the visit, use scribes to alleviate documentation burdens. In an age in which technology is ubiquitous everyday life, we must re-envision healthcare support both clinical operations and, above all,...

Background: Internet addiction (IA) refers to excessive and compulsive use of internet. This behavioral disorder is a growing concern worldwide. In this context objectives the study are determine level IA find out its association with academic performances lifestyle pattern college students. Methods: Descriptive survey research design was adopted. Disproportionate stratified random sampling technique used select 270 students from various colleges. Young’s ‘IA test’ measure IA, for self-rated...

Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potential to augment surgical risk assessments, but successful adoption depends on an understanding of end-user needs and current workflows. This study reports initial co-design MySurgeryRisk, AI CDS tool predict nine post-operative complications in patients. Methods: Semi-structured focus groups interviews were held as sessions with perioperative physicians at a tertiary academic hospital Southeastern...

The health care sector has made radical changes to hospital operations and delivery in response the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation human factors support Quadruple Aim system performance during COVID-19 era. First, patient safety is enhanced through development testing new technologies, equipment, protocols using laboratory-based situ simulation. Second, population strengthened virtual platforms that deliver telehealth...

Over 1.7 million episodes of agitation occur annually across the United States in emergency departments (EDs), some which lead to workplace assaults on clinicians and require invasive methods like physical restraints maintain staff patient safety. Recent studies demonstrated that experiences violence contribute symptoms burnout, may impact future decisions regarding use agitated patients. To capture dynamic interactions between patients under their care, we applied qualitative system...

Abstract Background The COVID‐19 pandemic posed significant challenges to traditional simulation education. Because is considered best practice for competency‐based education, emergency medicine (EM) residencies adapted and innovated accommodate the new normal. Our objectives were identify impact of on EM residency training, unique adaptations innovations implemented during pandemic, analyze successes failures through existing educational frameworks offer guidance use in era. Methods Society...

Objectives Agitation, defined as excessive psychomotor activity leading to aggressive or violent behaviour, is prevalent in the emergency department (ED) due rising behavioural-related visits. Experts recommend use of verbal de-escalation and avoidance physical restraint manage agitation. However, bedside applications these recommendations may be limited by system challenges care. This qualitative study aims a systems-based approach, which considers larger context healthcare delivery,...

&lt;b&gt;&lt;i&gt;Introduction:&lt;/i&gt;&lt;/b&gt; Previous research has described technical aspects of telemedicine and the clinical impact provider-to-patient telemedicine; however, little is known about provider-to-provider telemedical interventions. &lt;b&gt;&lt;i&gt;Objective:&lt;/i&gt;&lt;/b&gt; The primary aim this study was to compare two delivery modes on quality a simulated neonatal resuscitation. Our secondary evaluate providers’ task load....

Health system science (HSS) encompasses both core and cross-cutting domains that emphasize the complex interplay of care delivery, finances, teamwork, clinical practice impact quality safety in health care. Although HSS skills are required during residency training for physicians, current didactics have less emphasis on hands-on experiential learning. Medical simulation can allow participation reflection a controlled environment. Our goal was to develop pilot three scenarios as part an...

Patients and clinicians rarely experience healthcare decisions as snapshots in time, but clinical decision support (CDS) systems often represent snapshots. This scoping review systematically maps challenges facilitators to longitudinal CDS that are applied at two or more timepoints for the same made by patient clinician.