Medical Xpress June 24, 2022
MIT Sloan School of Management

A significant challenge in addressing the country’s opioid crisis is that policies based on past patterns of behavior may have unintended consequences because those patterns change over time. Collaborating with the U.S. Food and Drug Administration (FDA), Mohammad Jalali and his research colleagues have created a data-driven simulation model that incorporates key behavioral feedbacks such as social influence and risk perceptions. Called SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), the model has projected three key strategies that could save more than 100,000 lives over the next ten years.

Dr. Jalali is an investigator at Massachusetts General Hospital (MGH), assistant professor at Harvard Medical School, and a senior lecturer at MIT’s Sloan School of Management in the System Dynamics...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: FDA, Govt Agencies, Patient / Consumer, Provider, Survey / Study, Trends
5 Trends That Will Determine The Hospital From The Future - April 2024
Will Artificial Intelligence (AI) Trigger Universal Health Care in America? What do expert Academics say?
Advancing Racial Equity in U.S. Health Care
Kids’ book illustrates ‘unseen’ long-term care conversation for a new generation
STAT+: The next frontier in data privacy? Your brain

Share This Article