Augmented Intelligence to Address Gaps in Managing Risk of Opioid Harm

APSF Stoelting Conference 2024
"Transforming Anesthetic Care: A Deep Dive into Medication Errors and Opioid Safety"
Program: www.apsf.org/e...
Day 2: Session 6: Technology Innovation to Minimize Opioid Harm
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"Augmented Intelligence to Address Gaps in Managing Risk of Opioid Harm"
Sesh Mudumbai, MD, MS
Associate Professor,
Department of Anesthesiology, Perioperative, and Pain Medicine,
Stanford University School of Medicine
Sesh Mudumbai, MD, MS, is a board certified anesthesiologist and health services researcher dedicated to enhancing patient safety through innovative research and clinical practice. After completing a Patient Safety Fellowship and a Masters in Health Services Research at Stanford University, he joined the faculty as an Assistant Professor in the Department of Anesthesiology, Perioperative, and Pain Medicine. His work focuses on optimizing therapeutic strategies and reducing adverse outcomes related to opioid management, leveraging artificial intelligence and machine learning to address these challenges. He has published extensively, particularly on national-level issues within the Veterans Affairs (VA) healthcare system and methods to improve the quality of perioperative and pain management.
Dr. Mudumbai’s contributions include pioneering perioperative health informatics within the VA and enhancing clinical decision-making and risk management in opioid prescribing. His work develops predictive models using machine learning to identify patients at risk of opioid harm, informing safer prescribing practices. As a thought leader, he has spoken at national and international forums, sharing insights on integrating informatics tools and with a multidisciplinary and collaborative approach to mitigate opioid risks.