Artificial intelligence (AI) rapidly transforms health care, enhancing diagnostic accuracy, drug development, and personalized patient care. Dr. Jason Spangler and John Nosta discuss AI’s potential to improve clinical trial design, real-time monitoring, and predictive modeling, increasing efficiency and outcomes. By processing vast data sets, AI reveals new patterns and advances in health economics and outcomes research (HEOR), including cost-effectiveness analysis (CEA) and health technology assessment (HTA). However, they emphasize addressing ethical concerns like bias, transparency, and fairness to ensure equitable care. Ultimately, AI’s promise lies in fostering a more efficient, sustainable, and patient-centered system.
Read the full commentary for AJMC here.
