Using Informatics and Generative AI to Support Patients ’ Understanding of Lab Test Results

Bio: Dr. Zhe He is an Associate Professor in the School of Information (iSchool) at the Florida State University and a Core Affiliate of the Institute for Successful Longevity. He is Director of Biostatistics, Informatics, and Research Design (BIRD) Program in the UF-FSU Clinical and Translational Science Award Hub. His research expertise includes machine learning, natural language processing, and knowledge representation, The overarching goal of his research is to improve population health and advance biomedical research through the application of informatics. Abstract: Viewing laboratory test results is patients ’ most frequent activity when accessing patient portals, but lab results can be very confusing for patients. Previous research has explored various ways to present lab results, but few have attempted to provide tailored information support based on individual patient ’ s medical context. In this project, we aim to gain insights into older adults ’ challenges in understanding lab test results and act upon them, and design an informatics tool called LabGenie to support older adults ’ understanding of lab results and engagement in their own care. To design such a tool, we conducted three studies. In the first study, we conducted an online survey with 270 patients with one or more chronic conditions to understand the factors influencing lab results understanding. In the second study, we collected and annotated 200+ health articles about laboratory tests from AHe...
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