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prior studies reported only modest test characteristics with sensitivity, specificity, and 60-75% accuracy using outdated gold standard reference ranges.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 [...]

Background: In the U.S., hospitalizations related to Congestive Heart Failure (CHF) are amongst the most frequent and costly, yet a unified approach toward improving outcomes remains elusive. In 2022, the AHA/ACC/HFSA released updated guidelines for the management of heart failure. Recommendations include prescribing four classes of medications for eligible patients, known as guideline-directed medical therapy [...]

Background: Hospital readmission rates are a critical measure of healthcare quality and patient outcomes. High readmission rates can indicate poor patient management and lead to increased healthcare costs. Innovations in artificial Intelligence (AI) have the potential to improve patient care through clinical decision support tools, generative clinical care pathways, and predictive analytics creating the potential [...]

Background: Hospital-at-home care is a viable alternative to traditional inpatient care for older patients, allowing them to remain in the comfort of their own home while receiving hospital level care. The program employ a wide array of wearable smart health device (SHD) to track patient’s vital sign and other health metrics, enabling clinicians to intervene [...]