The Department of Health Care Policy recently received funding support from the Patient-Centered Outcomes Research Institute (PCORI). The two funded projects, led by faculty members Alex Luedtke and Jose Zubizarreta, help advance transparent, patient-focused methods for evaluating treatments.
One project, led by Luedtke, notes that while machine learning can predict which treatments may work best for individual patients, its “black box” nature limits trust. The work aims to develop methods that show which patient factors drive each prediction and how certain it is, along with an algorithm that recommends what information to collect next to improve accuracy.
Zubizarreta’s project poses that rapid advancement of comparative effectiveness research comes with great benefit -- but results often live in isolated studies. His work will create transparent, robust ways to combine evidence from clinical trials and real-world data to deliver more personalized treatment guidance.
Read more about these and other recent PCORI-funded studies here.
PCORI is a nonprofit organization with a mission to fund research designed to provide patients, their caregivers and clinicians with the evidence-based information needed to make better-informed healthcare decisions.