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: 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: The US healthcare system is under increasing pressure to improve value and affordability. Acute care is responsible for a large proportion of overall health costs, but the complexities and pace in this environment have left an evidence gap in value-based care transformation. Novel improvement and evaluation strategies are thus needed more than ever to [...]

Background: Diagnostic error in medicine is increasingly recognized as “the next frontier for patient safety”. Current research has explored the etiologies of diagnostic errors in two unique dimensions: as systems-based or cognitive-based causes. One study, however, suggests that roughly half of all errors stem from both domains. Using a focused ethnographic approach, we sought to [...]

Background: Hospitalists spend a significant part of their workday interacting with the electronic medical record (EMR). Less is known regarding the details of the tasks that are performed during this interaction. In considering aspects of workflow and EMR usability, we sought to characterize how hospitalists spend time within the EMR, in terms of number of [...]