"Measuring Returns to Healthcare Spending"
Joseph Doyle, Erwin H. Schell Professor of Management; Professor of Applied Economics,
Abstract: This talk focuses on measuring the returns on healthcare spending. The goal is to identify value and waste to help create a higher-quality, more cost-effective healthcare system.
This session will focus on using analytics to demonstrate value in a credible way including: Randomized trials designed to understand provider and patient behavior, A/B testing for incremental improvements, smart piloting of new healthcare delivery methods, and understanding correlation vs. causation in a big data world.
"How Can Emotion Technology and Wearables Improve Future Healthcare?"
Rosalind Picard, Professor of Media Arts and Sciences, MIT Media Lab; Co-Director, Advancing Wellbeing Initiative; Faculty Chair, MIT Mind+Hand+Heart
Abstract: Advances in affective computing have increasingly given technology new skills, demonstrating the ability to sense, recognize, and respond intelligently to many aspects of human emotion. For example, technology can now recognize facial expressions, and see if facial expressiveness is reduced as in depression, or if physiology is showing increased anxiety and stress in the workplace or at home, which may impact several health conditions. This talk will highlight some of the most surprising findings related to these advances, and how they could potentially improve future healthcare. These include new ways in which smartphones can compute your vital signs, even when they are in your pocket, and how electrical signals measured on the wrist can reveal insights into deep brain activity. I will describe applications to autism, anxiety, sleep, memory, epilepsy, mental health, and more. What is the grand challenge we aim to solve next?
"Personalized Medicine: A Vision for Research andEducation"
Dimitris Bertsimas, Boeing Leaders for Global Operations Professor of Management; Professor of Operations Research, MIT Sloan; Co-Director, Operations Research Center at MIT
Medicine as taught in medical schools and as practiced today is not personalized. This session will present a research program to develop an algorithmic theory of personalized medicine applied to the major human diseases. Using electronic medical records and genomic data and in collaboration with major medical centers and medical doctors, I will discuss our ongoing efforts to develop algorithms that propose personalized treatments for individual patients that suffer from diabetes, obesity, and cardiovascular disease. The new personalized medicine methods are based on cutting-edge Machine Learning algorithms that use modern optimization methods and improve upon classical approaches. I will further discuss the implications of our work on the education of the next generation of doctors.
Sites/Projects: Operations Research Center