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Farrell C‐JL, Giannoutsos J. Int J Lab Hematol. 2022;44:497-503.
Wrong blood in tube (WBIT) errors can result in serious diagnostic and treatment errors, but may go unrecognized by clinical staff. In this study, machine learning was used to identify potential WBIT errors which were then compared to manual review by laboratory staff. The machine learning models showed higher accuracy, sensitivity, and specificity compared to manual review. 
Ann D. Gaffey, RN, MSN, CPHRM, DFASHRM is the President of Healthcare Risk and Safety Strategies, LLC. Bruce Spurlock, MD is the President and CEO of Cynosure Health. We spoke with them about their role in the development of the Making Healthcare Safer III Report and what new information they think audiences will find particularly useful and interesting.