Annals of emergency medicine
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Randomized Controlled Trial
A Randomized Study of Intravenous Hydromorphone Versus Intravenous Acetaminophen for Older Adult Patients with Acute Severe Pain.
We conducted a randomized study to compare the efficacy and adverse event profile of 1,000 mg of intravenous acetaminophen to that of 0.5 mg of intravenous hydromorphone among patients aged 65 years or more with acute pain of severity that was sufficient enough to warrant intravenous opioids. ⋯ Although 0.5 mg of the intravenously administered hydromorphone was statistically superior to 1,000 mg of intravenous acetaminophen administered in older patients with acute severe pain in the ED, this difference was not clinically significant. Regardless of the medication received, many participants experienced minimal or incomplete pain relief.
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Machine learning models carry unique potential as decision-making aids and prediction tools for improving patient care. Traumatically injured patients provide a uniquely heterogeneous population with severe injuries that can be difficult to predict. Given the relative infancy of machine learning applications in medicine, this systematic review aimed to better understand the current state of machine learning development and implementation to help create a basis for future research. ⋯ This review highlights the heterogeneity in the development and reporting of machine learning models for the prediction of trauma outcomes. While these models present an area of opportunity as an ancillary to clinical decision-making, we recommend more standardization and rigorous guidelines for the development of future models.
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Emergency clinician-staffed telehealth programs seek to provide equitable, safe, efficient, effective, and patient-centered care. However, early studies show conflicting evidence on whether this aim is accomplished. Furthermore, how programs track the efficacy and safety of their programs remains largely unexplored. We sought to characterize ongoing quality monitoring among emergency clinician-staffed telehealth programs. ⋯ We identified variation in the use and content of quality metrics across emergency clinician-staffed telehealth programs. Most commonly, programs used metrics related to clinical experience; financial metrics were rarely captured. Technology barriers to quality measurement were often cited across programs. Further work is needed to support the standardization and implementation of future quality measurement initiatives.