Enhancing patient engagement in hip prosthesis Surgery: A conversational agent using NLP-based question answering and self-reporting tools
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Authors
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Publication date
2025
Type of student thesis
Master
Course of study
Life Science MSLS
Type
11 - Student thesis
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Hochschule für Life Sciences FHNW
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Muttenz
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Swiss Tropical and Public Health
Abstract
Recent advances in NLP and large language models (LLMs) have enabled conversation agents to deliver human-like conversations. However, in healthcare, challenges such as outdated data, lack of response control, and hallucinations limit their safe use. This project develops a German-language conversational agent to support patients undergoing hip prosthesis surgery by answering questions and collecting health status data (EQ-5D). Using a lightweight Retrieval-Augmented Generation (RAG) approach, the system ensures more accurate, reliable, and context-specific responses while remaining resource-efficient.
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English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Future Health
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Review
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Citation
Gogniat, S. (2025). Enhancing patient engagement in hip prosthesis Surgery: A conversational agent using NLP-based question answering and self-reporting tools [Hochschule für Life Sciences FHNW]. https://doi.org/10.26041/fhnw-15121