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: 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: 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: 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: 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: 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: Risk of having a major adverse cardiac event in the perioperative period is known to be raised among those with underlying cardiovascular disease undergoing noncardiac surgery. ACC/AHA 2014 guideline is an excellent tool for the physicians to evaluate perioperative cardiac risk. However, the evidence-based set of algorithms are often under- or inappropriately utilized due [...]

Background: Continuous cardiac monitoring (telemetry) is a vital but resource intensive component of patient care, allowing providers to quickly respond to signs of cardiovascular instability. Despite its importance, and existence of American Heart Association (AHA) guidelines, overreliance of telemetry is common. Since telemetry is restricted to specific units, over-use creates a bottleneck in patient flow [...]