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  4. [Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI
 
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2024
Conference Paper
Title

[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI

Abstract
We present an outline of the first large language model (LLM) based chatbot application in the context of patient-reported outcome measures (PROMs) for diabetic retinopathy. By utilizing the capabilities of current LLMs, we enable patients to provide feedback about their quality of life and treatment progress via an interactive application. The proposed framework offers significant advantages over the current approach, which encompasses only qualitative collection of survey data or a static survey with limited answer options. Using the PROBot LLM-PROM application, patients will be asked tailored questions about their individual challenges, and can give more detailed feedback on the progress of their treatment. Based on this input, we will use machine learning to infer conventional PROM scores, which can be used by clinicians to evaluate the treatment status. The goal of the application is to improve adherence to the healthcare system and treatments, and thus ultimately reduce cases of subsequent vision impairment. The approach needs to be further validated using a survey and a clinical study.
Author(s)
Pielka, Maren  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Schneider, Tobias
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Terheyden, Jan Henrik
University Hospital Bonn
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
IEEE International Conference on Big Data 2024. Proceedings  
Project(s)
The Lamarr Institute for Machine Learning and Artificial Intelligence  
AI Service Center West  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
International Conference on Big Data 2024  
File(s)
Download (152.59 KB)
Rights
Use according to copyright law
DOI
10.1109/BigData62323.2024.10825782
10.24406/publica-4149
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Fraunhofer Group
Fraunhofer-Verbund IUK-Technologie  
Keyword(s)
  • Diabetic Retinopathy

  • Generative AI

  • PROMs

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