New research project on Artificial Intelligence (AI) and predictive algorithms in healthcare at the Department of Public Health, UCPH
Can AI predict death for individual patients? And if so, what does that mean for patients, doctors, and the healthcare system?
Associate Professor Iben M. Gjødsbøl, Junior Chair of the CAG Precision Diagnostics in Cardiology, has been awarded an Inge Lehmann grant from the Independent Research Fund Denmark. Her research project, Personal Prognosis: Foretelling Death with AI in Contemporary Healthcare (PROGNOSIS), will employ ethnographic methods to explore how AI-driven predictive analytics guide medical and organizational decisions and thus simultaneously shape professional practices, the bodies and lives of patients, and the delivery of healthcare.
In Denmark and beyond, AI-driven algorithms are being developed to anticipate patient outcomes with unprecedented precision. Yet little is known about how health professionals act on these predictions, how patients experience and live with their prognoses, and how regulatory frameworks govern the use of AI-driven predictive analytics in practice.
PROGNOSIS focuses on PMHnet, a predictive algorithm developed in the CAG Precision Diagnostics in Cardiology (Chair Professor and Senior Consultant Henning Bundgaard and Vice Chair Professor Søren Brunak) and integrated into clinical care for patients critically ill with ischemic heart disease. The project will investigate and theorize AI’s ‘personal’ prognoses as a novel form of future-oriented knowledge that mutually constitutes human existence and healthcare delivery.
CAG Cardiology have created a unique research collaboration which strives to ensure more efficient and accurate diagnostics and individualized treatment of cardiac patients.
