Background The European Association for Cardio Thoracic Surgery and the Society of Thoracic Surgeons endorse Cardiac Surgical Unit-Advanced Life Support, a protocol designed specifically for cardiothoracic surgical patients who suffer postoperative cardiac arrests. To enhance patient outcomes and to reduce death rates, cardiothoracic intensive care unit nurses must be able to perform the protocol with confidence, proficiency, and without delays. To this end, simulation-based learning (SBL) is a pedagogical method ideal for optimized learning. Objectives This quality improvement project was designed to implement a post-cardiac surgery resuscitation protocol in a nonacademic, community medical center to enhance nurse knowledge, confidence, and proficiency for optimal patient outcomes. Methods The Cardiac Surgical Unit-Advanced Life Support is an evidence-based resuscitation protocol that was implemented using didactic, hands-on training, and SBL. It was evaluated using knowledge surveys, comparisons in nurse cothe application of an unfamiliar resuscitation protocol through SBL and any impact a training program has on patient outcomes will require ongoing practice and more evaluation.Background In clinical practice, nurses use their clinical gaze and make observations in order to assess patients' medical conditions and care needs. However, signs of developing intensive care unit delirium (ICUD) are often difficult to determine, as communication with patients is usually limited because of intubation and the seriousness of their medical condition(s). Usually, ICUD is screened and diagnosed with different, mainly nonverbal instruments, which presupposes that the observer is skilled and experienced in recognizing symptoms and signs of delirium. Objectives The objectives were to investigate if there was a concordance between data from continuous clinical observations described in the researcher's logbook and patients' statements of their experiences of delirium during their ICU stay. Methods Inclusion criteria were that the patients had been mechanically ventilated and had stayed in the ICU for a minimum of 36 hours. From this, a multiple-case design (n = 19), based on 1 to 3 hours of observations in the ICU and 2 interviews, was used. The first interview was conducted at the hospital approximately 6 to 14 days after discharge from the ICU, and the second, 4 to 8 weeks following the first interview in patients' homes. Two typical cases were identified and described by a cross-case procedure. Results A concordance between observations and patients' statements was found. Subtle, as well as obvious, signs of delirium were possible to detect by attentive observations over time and listening to what patients were trying to convey with their speech and body language. Experiencing delirium seemed to indicate existential suffering where the abnormal became the normal and not being able to distinguish between reality and fantasies.  https://www.selleckchem.com/  Conclusion A continuity of skilled observations and listening to patients' statements are vital for detection of ongoing ICU delirium or experiences of delirium.Quantitative biomarkers are key prognostic and predictive factors in the diagnosis and treatment of cancer. In the clinical laboratory, the majority of biomarker quantitation is still performed manually, but digital image analysis (DIA) methods have been steadily growing and account for around 25% of all quantitative immunohistochemistry (IHC) testing performed today. Quantitative DIA is primarily employed in the analysis of breast cancer IHC biomarkers, including estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2/neu; more recently clinical applications have expanded to include human epidermal growth factor receptor 2/neu in gastroesophageal adenocarcinomas and Ki-67 in both breast cancer and gastrointestinal and pancreatic neuroendocrine tumors. Evidence in the literature suggests that DIA has significant benefits over manual quantitation of IHC biomarkers, such as increased objectivity, accuracy, and reproducibility. Despite this fact, a number of barriers to the adoption of DIA in the clinical laboratory persist. These include difficulties in integrating DIA into clinical workflows, lack of standards for integrating DIA software with laboratory information systems and digital pathology systems, costs of implementing DIA, inadequate reimbursement relative to those costs, and other factors. These barriers to adoption may be overcome with international standards such as Digital Imaging and Communications in Medicine (DICOM), increased adoption of routine digital pathology workflows, the application of artificial intelligence to DIA, and the emergence of new clinical applications for DIA.Digital pathology has made great strides in recent years culminating with the approval to market devices from the Food and Drug Administration. The pathology community is now poised to begin using these systems for diagnostic purposes. This article will discuss the preparatory steps needed to implement digital pathology as well as some implementation styles that may be sufficient for a pathology department.Introduction Social media represents a novel platform for patient-physician interaction. Although social media utilization patterns have been analyzed in other fields, no such study has been performed in shoulder and elbow specialists. Methods The membership database of the society of the American Shoulder and Elbow Surgeons was queried. Online searches were performed to identify if each surgeon had professional profiles on popular social media platforms. A social media score was then calculated, defined as the number of active accounts. Statistical analysis was used to test for associations between demographics and social media utilization. Results Six hundred seventy-six surgeons were analyzed. The average social media score was 1.61. The most highly used platform was LinkedIn (61%). The least used platform was Instagram (5% active, 11% total). Female surgeons were more likely to use Instagram than men (12.5% versus 4.9%). Academic surgeons were more likely to use ResearchGate (46.5% versus 33.3%), whereas private practice surgeons were more likely to have a website (19.