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Credits: None available.
Transfusion medicine physicians and laboratory technologists are faced each day with making multiple decisions - some routine, others potentially life-threatening for the patient, but any of which could result in medical error affecting patient safety. Few have, however, been taught approaches to improve their decision-making skills.
Decision-making in transfusion medicine could be substantively improved through a range of targeted approaches including cognitive and metacognitive approaches; informatics and artificial intelligence (A.I.) enhanced decision support; and practical tools based on operations research. This session will explore some of these approaches for improved decision-making in transfusion medicine.
A brief introduction will provide context to the topic and describe meta/cognitive skills for enhanced decision-making. The first talk will discuss data-driven and informatics-based approaches, including decision support design, AI-enhanced prediction, and advanced data visualization; the second talk will describe operations-based practical approaches adopted by the Serious Hazards of Transfusion (SHOT) group in the UK for reducing error in transfusion medicine.
Attendees will learn about a broad spectrum of approaches for improving decisions and mitigating medical error that will improve patient safety in transfusion.
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