Decision support technology can help case managers improve transitions of care and more easily access patient information necessary for an optimal discharge. The algorithm can collect data on patients’ functional status, cognition, caregiver status, and other important characteristics.
Researchers developed an automated text messaging approach that can monitor patients who have been discharged from the ED. Other investigators have leveraged artificial intelligence to train an algorithm to help emergency clinicians better predict outcomes and manage resources.
Many clinical calculators use race as a predictive variable to assess risk for outcomes. Although most of the tools assume a genetic disposition for these outcomes, other factors, such as health disparities and other potential confounders, are more likely to be the underlying reasons for any race-related differences in outcomes.