Christopher Tignanelli

Christopher Tignanelli is an Associate Professor at the University of Minnesota Medical School, affiliated with the Division of Critical Care & Acute Care Surgery. He serves as Co-Director of Clinical Quality, Outcomes, Discovery and Evaluation (CQODE), Scientific Co-Director of the Program for Clinical, Center for Learning Health System Sciences, and Associate Dean for Data Science.

• Educational background includes MD, MS in Clinical Research, and MBA in Healthcare Innovation
• Specializes in Artificial Intelligence in Surgery, Clinical Decision Support Systems, and Trauma Outcomes Research
• Key research themes: Machine Learning for Readmission Prediction, Venous Thromboembolism Prophylaxis, Post-COVID-19 Condition Analysis

His work integrates AI/ML with clinical outcomes across trauma care and pandemic medicine, focusing on real-world evidence and health informatics. Notable contributions include multicenter clinical trial leadership and statewide trauma collaborative innovations.

• Scientific Awards:
  • American Association for the Surgery of Trauma Clinical Protocol Development Award
  • MBA in Healthcare Innovation
  • MS in Clinical Research
  • MD Degree
  • Statewide Trauma Collaborative Process Measure Innovation Recognition
  • Multicenter Trial Leadership Award