PhD Student
Research Interests: Critical care outcomes, ECMO, predictive analytics, machine learning, post-ICU quality of life, and health equity
Advisor: Mary G. Carey, PhD, RN, FAHA, FAAN
Dana Mitchell, MSEd, BSN, RN, CCRN is a PhD student in Nursing & Health Science at the University of Rochester School of Nursing, where his research focuses on AI-augmented critical care decision-making, machine-learning models of clinical deterioration, and technology-supported nursing assessment. His scholarly interests include decision science, hemodynamics, advanced vascular access, and sex-based differences in cardiac biomarkers. Mitchell is a Critical Care Educator at Thompson Health and previously a cardiac ICU nurse, with expertise in advanced heart failure, ECMO, mechanical circulatory support, targeted temperature management, and complex hemodynamic assessment. He currently serves as the AACN Chapter Advisor (Region 2) and previously served as President (2025–2026) of the Greater Rochester Area Finger Lakes Chapter, providing leadership in professional development and continuing education initiatives. Mitchell's scholarly dissemination includes an AHA Scientific Sessions ePoster, a regional IO access quality improvement poster, and an AACN webinar on heart block and Lyme carditis. Across roles, he is committed to leveraging evidence, informatics, and emerging technologies to improve nursing practice, patient safety, and clinical decision-making.