Background: Clinical decision support tools based on predictive analytics can provide actionable information and improve clinical outcomes for patients at risk of developing sepsis. Scoring systems such as Systemic Inflammatory Response Syndrome (SIRS) and National Early Warning Score (NEWS) that were not specifically trained to detect sepsis tend to have high false alarm rates, leading [...]

Background: Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of hospital readmissions in America. Over one-third of patients admitted for COPD exacerbations are readmitted within 90 days, with readmissions costing $15 billion. Medicare instituted financial penalties for excessive readmissions after COPD hospitalizations, incentivizing the creation of readmission prediction tools. Two such tools, the [...]

Background: Mortality prediction models are increasingly being adopted in the clinical setting, both to retrospectively assess quality of care and to prospectively inform clinical practice. An open question is whether a particular hospital should employ a model trained using a diverse nationwide dataset or use a model developed primarily from local data. The Veterans Affairs [...]

Background: Clinical decision support tools based on predictive analytics can provide actionable information and improve clinical outcomes for patients at risk of developing sepsis. Scoring systems such as Systemic Inflammatory Response Syndrome (SIRS) and National Early Warning Score (NEWS) that were not specifically trained to detect sepsis tend to have high false alarm rates, leading [...]

Background: Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of hospital readmissions in America. Over one-third of patients admitted for COPD exacerbations are readmitted within 90 days, with readmissions costing $15 billion. Medicare instituted financial penalties for excessive readmissions after COPD hospitalizations, incentivizing the creation of readmission prediction tools. Two such tools, the [...]

Background: Mortality prediction models are increasingly being adopted in the clinical setting, both to retrospectively assess quality of care and to prospectively inform clinical practice. An open question is whether a particular hospital should employ a model trained using a diverse nationwide dataset or use a model developed primarily from local data. The Veterans Affairs [...]

Background: According to the CDC, at least 300,000 people older than 65 are hospitalized for hip fractures annually. Society of Hospital Medicine recognizes geriatric care as one of the core competencies, and hospitalists frequently provide care to geriatric hip fracture patients. Clearly hospitalists need to be competent providing care to such patients. Our goal was [...]

Background: Cost-related medication non-adherence (CRN) is a persistent and serious challenge among the elderly population in the US. For elderly patients with limited economic means at increased risk of hospitalization, CRN may elevate the risk of repeated hospitalizations and emergency department visits, and lead patients into a downward spiral of worse heath and higher non-adherence. [...]

Background: The number of hospitalized patients varies significantly throughout the year. Fine prediction of the number of hospitalized patients is essential to provide adequate staffing and quality care. We aimed to identify the factors affecting the number of hospitalized patients and develop a prediction model. Methods: Daily number of hospitalized patients on the medical floor [...]

Background: A growing body of evidence suggests that selecting graduating medical students for residency interviews based solely on USMLE scores or clinical grades does not adequately capture the breadth of qualities needed to succeed as a resident as outlined by the ACGME competencies. Step scores have been shown to correlate with ITE scores and boards [...]