Background: Delirium, an acute neuropsychiatric syndrome marked by fluctuating disturbances in attention, cognition, and consciousness, is prevalent among older hospitalized cancer patients. The Mayo Delirium Prediction (MDP) tool, designed to predict delirium risk in older adults using electronic health record (EHR) data, may help identify individuals at increased risk, thus offering valuable insights for targeted [...]

Background: Real-Time Prescription Benefit (RTPB) tools remain underutilized by hospitalists, partly due to concerns surrounding the tools’ availability and accuracy of the co-payment estimates provided. The RTPB tool’s functionality is contingent on the patient’s pharmacy benefit manager (PBM) identification and selection in the electronic health record (EHR). This study aims to investigate the availability of [...]

Background: According to the Global Burden of Disease (GBD) study, 523 million (95% UI: 497 to 550 million) people worldwide had cardiovascular diseases (CVDs) in 2019, resulting in a significant increase in DALYs and years of life lost, mostly due to ischemic heart disease. There are various accurate and economical gold standard tests to identify [...]

Background: The application of machine learning (ML) to predict hospital length of stay (LoS) displays promise for advancements in healthcare management and patient care. LoS is frequently seen as a metric that can help determine the severity of sickness, cost of care, and resource use. Furthermore, individualized discharge planning has been linked to quantifiable outcomes [...]

Background: Evidence suggests female physicians experience higher rates of burnout compared to male counterparts1,2. The Electronic Health Record (EHR) is a recognized source of physician burnout (4,5,6). Therefore, efforts to understand gender disparities in EHR use may offer insights into burnout disparities at large. Studies in outpatient settings have found female physicians spend more time [...]

Background: Left atrial enlargement (LAE) is a common disorder that is associated with cardiovascular morbidity and mortality. Cardiac point-of-care ultrasound (POCUS) is frequently used to assess for LAE. However, prior studies reported only modest test characteristics with sensitivity, specificity, and 60-75% accuracy using outdated gold standard reference ranges. This study was designed to determine the [...]

Background: Healthcare systems in the United States are navigating a complex landscape of financial strain, high clinician burnout, and workforce instability. The emergence of artificial intelligence (AI) tools in the clinical space offers the potential to improve clinical care and productivity but faces challenges like cost, clinician acceptance, and bias. Use of AI tools in [...]

Background: The use of point-of-care ultrasound (POCUS) by hospitalists is rapidly evolving and is variable between hospital medicine groups and individuals. Although POCUS has been shown to increase patient satisfaction in the emergency department and primary care settings, little is known about hospitalized patients’ perspectives on POCUS in their care. POCUS allows patients the opportunity [...]

Background: Point-of-care ultrasound (POCUS) has become an invaluable tool for quickly diagnosing numerous diseases and procedural guidance. Implementation of POCUS in emergency departments has resulted in reduced length of stay, mortality, and costs. Many applications of POCUS may apply to hospital medicine, yet how well data from other settings applies to inpatient medicine remains unclear. [...]

Background: Sepsis, a dysregulated host immune response to infection leading to life-threatening organ dysfunction[1], is a common, fast-moving condition, and the leading cause of in-hospital death. Most cases develop in the community and present to Emergency Departments (ED)[2], where urgent action is required to prevent resultant morbidity and mortality[3]. However, the presentation of sepsis is [...]