A framework of graded responses, titrated to outbreak severity, is provided from the perspective of an academic medical center managing simulation training during the early stage of the now global coronavirus disease 2019 outbreak.
  Crisis Resource Management (CRM) is a team training tool used in healthcare to enhance team performance and improve patient safety. Our program intends to determine the feasibility of high-fidelity simulation for teaching CRM to an interprofessional team in a community hospital and whether a microdebriefing intervention can improve performance during simulated pediatric resuscitation.
 
  We conducted a single-center prospective interventional study with 24 teams drawn from 4 departments. The program was divided into an initial assessment simulation case (pre), a 40-minute microdebriefing intervention, and a final assessment simulation case (post).  https://www.selleckchem.com/products/OSI-906.html  Post and pre results were analyzed for each team using t tests and Wilcoxon signed-rank tests. Primary outcome measures included (a) completion of program, (b) percent enrollment, (c) participant reaction, and (d) support of continued programs on completion. Secondary outcomes included (a) change in teamwork performance, measured by the Clinical Teamwork Scale; (b) change in time to initiation of chest compressions and defibrillation; and (c) pediatric advanced life support adherence, measured by the Clinical Performance Tool.
 
  We successfully completed a large-scale training program with high enrollment. Twenty-four teams with 162 participants improved in Clinical Teamwork Scale scores (42.8%-57.5%, P < 0.001), Clinical Performance Tool scores (61.7%-72.1%, P < 0.001), and time to cardiopulmonary resuscitation initiation (70.6-34.3 seconds, P < 0.001).
 
  Our center ran a well-attended, well-received interprofessional program in a community hospital site demonstrating that teaching CRM skills can improve simulated team performance in a diverse experienced cohort.
 Our center ran a well-attended, well-received interprofessional program in a community hospital site demonstrating that teaching CRM skills can improve simulated team performance in a diverse experienced cohort.
  Errors in medication administration are common, with many interventions suggested to reduce them. For intravenous infusion-related errors, "smart infusion devices" incorporating dose error reduction software are widely advocated. Our aim was to explore the role of smart infusion devices in preventing or contributing to medication administration errors using retrospective review of 2 complementary data sets that collectively included a wide range of errors with different levels of actual or potential harm.
 
  We reviewed 216 medication administration errors identified from an observational study in clinical practice and 123 medication incidents involving infusion devices reported to a national reporting system. The impact of smart infusion devices in preventing or contributing to these errors was assessed by the research team and an expert panel.
 
  The data suggest that use of any infusion device rather than gravitational administration may have prevented 13% of observed errors and 8% of reported incidents; additional reductions may be possible with standalone smart infusion devices, and further potential reductions with smart infusion devices integrated with electronic prescribing and barcode administration systems. An estimated 52% to 73% of errors that occurred with traditional infusion pumps could be prevented with such integrated smart infusion devices. In the few cases where smart infusion devices were used, these contributed to errors in 2 of 58 observed errors and 7 of 8 reported incidents.
 
  Smart infusion devices not only prevent some medication administration errors but can also contribute to them. Further evaluation of such systems is required to make recommendations for policy and practice.
 Smart infusion devices not only prevent some medication administration errors but can also contribute to them. Further evaluation of such systems is required to make recommendations for policy and practice.
  Incomplete partition III (IP-III), characterized by congenital mixed or sensorineural hearing loss, is a rare genetic disease transmitted through X-linked mode of inheritance. Inner ear findings of IP-III have been well described and allow an immediate diagnosis to be made. Recently, an association between IP-III and distinct hypothalamic malformations has been reported in some of the patients with IP-III. The purpose of this study was to investigate the morphologic abnormalities of the hypothalamus in IP-III.
 
  Magnetic resonance imaging studies of 8 subjects, including 1 set of brothers, who were diagnosed with IP-III based on their clinical and inner ear imaging findings, were analyzed.
 
  Of the 8 subjects, 7 demonstrated some degree of morphologic abnormality of the hypothalamus. Of these, 2 showed asymmetrical thickening, 1 showed symmetrical thickening, and 4 showed mass-like enlargement of the hypothalamus. Six of 7 subjects with hypothalamic abnormalities showed asymmetry in caudal extension of the abnormalities, which was more discernible on coronal oblique T2-weighted images. Clinically, none of the subjects had endocrinologic or neurologic symptoms.
 
  This retrospective analysis presents further magnetic resonance imaging evidence on the association between the rare IP-III malformations and the presence of hypothalamic morphologic abnormalities.
 This retrospective analysis presents further magnetic resonance imaging evidence on the association between the rare IP-III malformations and the presence of hypothalamic morphologic abnormalities.
  The aim of this study was to evaluate the use of texture analysis for differentiation between benign from malignant adrenal lesions on contrast-enhanced abdominal computed tomography (CT).
 
  After institutional review board approval, a retrospective analysis was performed, including an electronic search of pathology records for all biopsied adrenal lesions. Patients were included if they also had a contrast-enhanced abdominal CT in the portal venous phase. Computed tomographic images were manually segmented, and texture analysis of the segmented tumors was performed. Texture analysis results of benign and malignant tumors were compared, and areas under the curve (AUCs) were calculated.
 
  One hundred twenty-five patients were included in the analysis. Excellent discriminators of benign from malignant lesions were identified, including entropy and standard deviation. These texture features demonstrated lower values for benign lesions compared with malignant lesions. Entropy values of benign lesions averaged 3.