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Improving Postoperative Outcomes Using Preoperative Patient Education
Leoni Weltermann1, Jonas Weber2, Jérôme Defosse2
1Department Healthcare, Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
An AI-powered chatbot offers interactive preoperative education for patients, improving understanding and engagement. While occasional inaccuracies exist, this tool shows promise for personalized anaesthesiology patient care.
Area of Science:
- Anaesthesiology
- Artificial Intelligence in Healthcare
Background:
- Preoperative education is vital for better patient outcomes.
- Current information access is often limited and not individualized.
Purpose of the Study:
- To introduce an AI-based Chatbot for preoperative patient guidance.
- To assess the chatbot's adaptability and patient interaction capabilities.
Main Methods:
- Development of an AI-Chatbot for preoperative education.
- Initial testing to evaluate chatbot performance and patient engagement.
Main Results:
- The AI-Chatbot demonstrated adaptability to patient queries.
- The system successfully promoted patient interaction.
- Occasional instances of AI hallucination were observed.
Conclusions:
- AI tools hold significant potential for enhancing patient-centered preoperative education.
- The developed chatbot shows promise for perioperative anaesthetic care.
- Further refinement is needed to address AI limitations.
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