Research Symposium

BIO

Hi, I'm Maggie Awad from Atlantic Beach, FL, pursuing a dual major in Finance and Public Health Administration. Passionate about reshaping healthcare, I'm eager to merge financial insights with public health strategies for a brighter, more inclusive future. Through my studies, I aim to drive impactful changes in healthcare accessibility and sustainability. Beyond academics, you'll find me actively involved in organizations on campus such as Dance Marathon and the Honors Student Association. With boundless enthusiasm, I'm committed to making a meaningful difference in healthcare, one step at a time.

Informatics Supporting Patients’ Understanding of Lab Results: Identifying Patients’ Questions about Lab Results

Abstract

Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate relevant, accurate, helpful, and unharmful responses to lab test-related questions asked by patients and to identify potential issues that can be mitigated with augmentation approaches. We believe that with the advancements of Ai and LLMs it has opened up many new possibilities when it comes to interpreting and understanding health lab reports. However, even though generative AI models such as ChatGPT can answer questions, about lab test results, they may also generate answers with inaccurate information or hallucinations results and are often confusing and hard to understand. We believe by utilizing the advantages of AI and LLMs, we will be able to create an app that will help patients (especially elderly patients) better understand their health lab reports.

Keywords: LLM, Technology, Healthcare