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Optimizing Patient-AI Dialogue: Integrating Empathic Technology
1Center for Biological Systems Modeling and Data Analysis.
Introduction:
Patient empowerment is a growing focus in medical informatics, and artificial intelligence (AI) offers new opportunities for personalized, patient-centered support. This vision paper introduces a theoretical framework for an advanced medical conversational agent.
Methods:
We propose a conceptual model called Holistic Empathic AI (HEAI), implemented as a chatbot (PAI-bot). The system architecture integrates cognitive principles and includes modules for natural language dialogue, user state detection, and adaptive response generation.
Results:
A key element is a multidimensional well-being score combining physical, emotional, cognitive, and social factors. The model structure and data flow support dynamic adjustment of interaction based on real-time analysis.
Conclusions:
Although not yet implemented clinically, this work establishes the conceptual foundation for future development of empathic AI in healthcare. The HEAI model aims to enhance the patient-AI dialogue and enable more human-like support.
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