Jo Røislien

Jo Røislien is Professor of Medical Statistics at the University of Stavanger's Faculty of Health Sciences, Department of Quality and Health Technology. His academic career spans diverse medical research fields where he applies and develops innovative statistical methodologies to improve quantitative research in healthcare.

Røislien's research interests encompass medical statistics, emergency medical services optimization, pandemic risk communication, and stroke care protocols. He has worked across cancer research, clinical trials, nursing research, radiology, rehabilitation, obesity, drug research, addiction, public health, and prehospital critical care. His methodological approach ranges from applying traditional statistical techniques to developing entirely new analytical frameworks tailored to specific medical challenges.

His recent publication trends reveal three dominant research streams: emergency medical services optimization (particularly air ambulance base location using mathematical modeling), stroke care innovation (including NIHSS assessment protocols), and pandemic communication effectiveness (examining how video communication conveys critical health information). These streams reflect his unique ability to bridge statistical methodology with practical healthcare applications.

Røislien has successfully merged academic research with creative science communication, having created and hosted mathematics and statistics television series for general audiences, including becoming the first Norwegian host on Discovery Channel. He has delivered numerous motivational talks on mathematics for teenagers and workshops on communicating complex topics for diverse professional audiences including teachers, researchers, and government ministries.

His research methodology consistently involves interdisciplinary collaboration across medical specialties, working with clinicians, communication experts, and emergency service professionals to address pressing healthcare challenges through rigorous quantitative analysis and innovative study design.