Complexity and healthcare have always gone hand-in-hand, but for today’s medical and health professionals, ensuring that patients receive optimal care is only getting more challenging.
Whether you’re diagnosing symptoms, predicting -- and preventing -- the spread of disease, or building vital healthcare infrastructure, understanding complex systems has never been more important.
This accessible (no math or science background required), three-day course is designed to give healthcare professionals, faculty, policy-makers and students an intensive introduction to complex systems as they apply to health and medicine. Through lectures, exercises and interactive discussions with prominent SFI faculty and your peers, you’ll learn how complexity science is being used to predict, model and transform medical systems across many disciplines.
Topics covered include:
Healthcare as a complex system
Complexity in medicine and disease
Machine learning and computationally-aided diagnostics
From tracking the next pandemic to exploring the hidden influence of social networks on public health and using health data to improve patient care, participants will learn to apply complexity thinking to better understand and address their toughest challenges.
More information about the course can be found on our wiki
Register now here