Diagnostic errors are common and often related to cognitive processes, with many retrospectively discovered through review of closed malpractice claims or at time of autopsy. This study used a web-based clinical decision support system called Isabel to determine its ability to accurately diagnose acute medical problems compared with final discharge diagnoses and a panel of experts. Building on a past study, investigators discovered that the system displayed the final discharge diagnosis in 95% of inpatients. The authors highlight the potential benefits of integrating such a system into daily practice and call for further study on whether it reduces diagnostic error. An AHRQ WebM&M conversation with Dr. Britto, the co-founder of Isabel Healthcare Inc., discusses eradicating diagnostic errors through such decision support systems.