Guidepost: Clinical Prediction for Better HIV Care at a Lower Cost
Summary: This project will bring together medical and statistical knowledge for predicting HIV treatment failure with accessible tools for end-to-end predictive modeling that enables communities to create their own best clinical prediction solution.
Description: Millions of people around the world are infected with HIV, which has the potential to take years off their lives and put their partners at risk. Although HIV medications are widely available, along with tests to show whether a particular medication is effective for a patient, these tests are too expensive for many countries to provide to all HIV patients. Given the necessity of choosing which patients to test, the more accurately doctors can predict patients’ risk, the better they can control HIV infections and protect communities. Tracy Sandifer and Nancy Puttkammer, a graduate student and faculty member, respectively, in Epidemiology and Global Health, are developing Guidepost, a protocol for predicting HIV treatment failure that aims to support successful treatment strategies. By integrating user-friendly tools with community-vetted policy, they will bring effective clinical prediction within reach.
- Tracy Sandifer, Graduate Student, UW Department of Epidemiology and UW Department of Global Health
- Nancy Puttkammer, Faculty, UW Department of Global Health