Episode Details

Christopher J. Tignanelli, MD, MS, MBA is a tenured Associate Professor of Surgery in the Division of Critical Care & Acute Care Surgery at the University of Minnesota Medical School, where he also serves as Associate Dean for Data Science. He is triple board-certified in General Surgery, Surgical Critical Care, and Clinical Informatics, and provides care for trauma, emergency general surgery, surgical critical care, and ECMO patients. He also holds 5 EPIC EHR certifications.

Dr. Tignanelli is a nationally recognized clinician-scientist whose work focuses on clinical informatics, artificial intelligence, machine learning–enabled decision support, and learning health systems to improve outcomes and reduce unwarranted variation in care. He has authored over 150 peer-reviewed publications and has received more than $30 million in direct research funding from NIH, AHRQ, the Gates Foundation, the Henry Jackson Foundation for the Advancement of Military Medicine and other federal and foundation sources. His research emphasizes the development, implementation, and real-world scaling of interoperable, evidence-based digital health tools across complex health systems.

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