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: General wards are high-risk clinical areas, but frontline staff face operational challenges not prioritized in national safety initiatives. Team reporting may identify important risks to patient care, although its impact as a safety strategy is unknown. We developed HEADS-UP (Hospital Event Analysis Describing Significant Unanticipated Problems), a system for prospective clinical team surveillance (PCTS). [...]

Background: Overnight vital sign assessment can disrupt sleep in the hospital and may be unnecessary in clinically stable patients. However, providers may not feel comfortable determining which patients can safely forego overnight vitals. We studied the effect of a clinical decision support (CDS) tool embedded in the electronic health record (EHR) that automatically identified clinically [...]

Background: Co-management across service lines has become increasingly common in hospital medicine. While debate continues over clinical outcomes, some co-management arrangements have led to enhanced provider satisfaction, which may have implications for burnout. We have established successful co-management services with orthopedics, urology (GU), otorhinolaryngology (ENT), trauma and neurosurgery (NS). We are a large urban/suburban academic [...]

Background: Deep vein thrombosis (DVT) is typically diagnosed from ultrasound (US) Doppler evaluation and anticoagulation therapy is the standard treatment to prevent life threatening pulmonary embolism (PE). In our hospital, the treating provider is alerted to the positive test result by phone and/or text in the imaging result. There is an absence of clinical decision [...]

Background: Clinically stable inpatients may receive potentially unnecessary care, such as overnight vital sign assessment. Nighttime vital signs can disrupt sleep and adversely affect patient satisfaction and contribute to delirium. However, it may be difficult for individual clinicians to determine which patients could safely forego overnight vital signs. Purpose: We developed a predictive algorithm designed [...]

Background: Hospitalized patients and their families often face challenges in accessing and understanding developments in care plans, test results, and interdisciplinary decisions made during their stay. This knowledge gap causes anxiety, confusion, and missed opportunities for shared decision-making. Enhanced interdisciplinary communication and transparency with patients positively impacts patient satisfaction, readmission rates, patient safety and adherence [...]

Background: According to AHRQ, patient safety culture refers to the beliefs, values, and norms shared by health care practitioners and other staff throughout the organization that influence their actions and behaviors. Safety reporting (or incident reporting) is an important aspect of safety culture. Safety reporting of adverse events is a valuable epidemiological tool to measure [...]

Background: Co-management across service lines has become increasingly common in hospital medicine. While debate continues over clinical outcomes, some co-management arrangements have led to enhanced provider satisfaction, which may have implications for burnout. We have established successful co-management services with orthopedics, urology (GU), otorhinolaryngology (ENT), trauma and neurosurgery (NS). We are a large urban/suburban academic [...]

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 [...]