Learning Effective Treatments for Chronic Diseases from Real-World Clinical Data in Healthcare

Vashisht will discuss research underway in Atul Butte's lab to learn effective treatments for chronic diseases such as Type-2 diabetes from real-world clinical data from the University of California Healthcare system, within the target trial framework for causal inference. Vashisht will touch on structuring real-world clinical data into the OMOP common data model; implementing the target trial framework for causal inference to generate real-world evidence in a safe, secure, and respectful manner; and disseminating evidence to help inform medical and policy-level decision making.

Speaker: Rohit Vashisht, PhD, Clinical Data Scientist, Bakar Computational Health Science Institute, UCSF

Register: http://eepurl.com/g1X35P