WHO ARE WE
PRISMAp
Precision and Intelligent Systems in Medicine Research Partnership (PRISMAp) is a collaborative research partnership for the design, development, and implementation of Intelligent Healthcare Systems. Bringing together experts in medicine, health policy research, and computer engineering, our partnership combines modern approaches to modeling, signal processing, and machine learning in order to develop and refine data analysis methods. The predictive models, physiologic markers, and clinical reasonings generated by PRISMAP will serve to improve patient care in perioperative environments.
Vision
Our vision is to transform care for acutely ill patients using pervasive artificial intelligence to augment a human-centered healthcare system. We emphasize the alignment of innovation, technology, and inclusive excellence to deliver optimal quality and experience for every patient, caregiver, and provider.
Mission
Our mission is to develop and support transformative, trustworthy, reproducible, sustainable, and ethical medical AI research, education, and clinical applications to advance patient health in acute care medicine.
OUR TEAM
Center director
Azra Bihorac, MD, MS, FCCM, FASN
Dr. Azra Bihorac is a leader in biomedical AI and digital health, driving innovation at the intersection of medicine, technology, and data science. As the director of PRISMAp, her work focuses on advancing research, education, and clinical applications to improve patient care and outcomes.
INTERNAL
Group Members
Our group members bring diverse expertise and a shared passion for innovation. From researchers and analysts to communicators and strategists, each member plays a crucial role in driving our mission forward. Together, we collaborate, problem-solve, and push boundaries to make a lasting impact.
EXTERNAL
Partnerships
Our partnerships are the foundation of our impact, connecting us with leading organizations, institutions, and experts in the field. Through these collaborations, we expand our reach, share knowledge, and drive innovation to advance AI in medicine.