UC Health advances research for patients with diabetes
The University of California Health’s Center for Data-driven Insights and Innovation (CDI2) has developed an innovative research framework that holds the potential for accelerating vital discoveries in the medical field. By using actual clinical data, this approach promises to significantly reduce research costs and save valuable time for physicians, allowing them to identify the most effective medications in a particular condition, saving time and costs associated with trying various treatments.
Clinical Data Scientist at the University of California, San Francisco Bakar Computational Health Sciences Institute, recently led a research study that utilized real-world clinical data — collected during routine clinical care — to assess the comparative effectiveness and safety of multiple treatment options in type 2 diabetes management.
By harnessing the power of integrated data and advanced analytics with methods from causal inference, machine learning and in-depth sensitivity analysis, the team essentially summarized a decade of clinical data in about an hour.
Tags: research, Rohit Vashinst Ph.D., UC Health, UCSF