Abstract: Current guidelines advocate for an individualized approach to antiretroviral (ARV) regimen selection, but synthesizing multiple modifying factors is complex and time-consuming. We thus developed HIV-ASSIST (https://www.hivassist.com), an online, interactive, educational tool to guide clinical decision-making for ARV selection. We have conducted two studies demonstrating HIV-ASSIST utility. HIV-ASSIST serves as a proof of concept in providing real-time clinical decision support to enhance clinical care of patients.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Attendees of this session will understand the process of developing a decision support tool using a multiple-criteria decision analysis framework. They will learn how HIV-ASSIST can serve as a prototype for real-time clinical decision support tools for a variety of disease states. Clinicians who provide care for HIV patients will learn how to utilize HIV-ASSIST to provide evidence-based ARV recommendations for their patients.
Manoj Maddali (Presenter)
University of California San Francisco
Maunank Shah, Johns Hopkins University