Empowering Preventive Care with GECA Chatbot

Area of Science:

• Digital Health
• Artificial Intelligence in Healthcare
• Preventive Medicine

Background:

• Growing adoption of chatbots in healthcare for patient engagement.
• Need for personalized, accessible, and cost-effective preventive care solutions.
• Challenges in maintaining patient well-being and preventing chronic conditions through home treatment.

Purpose of the Study:

• To introduce GECA, a specialized chatbot for preventive care.
• To highlight GECA's features: personalized information, advice, monitoring, and adaptability.
• To emphasize GECA's role in supporting home treatment and enhancing user experience.

Main Methods:

• Development of GECA, a chatbot with adaptable architecture and bilingual capabilities.
• Integration of external resources for enhanced personalization, with adherence to security protocols.
• Testing of GECA's accuracy and precision in interactions.

Main Results:

• GECA demonstrated a 97% success rate in delivering accurate responses.
• The chatbot's design supports cost-effectiveness, personalization, and user engagement.
• Bilingual features and external resource integration improve accessibility and user experience.

Conclusions:

• GECA presents a promising, accurate, and accessible solution for preventive care.
• Its adaptable design allows for seamless extension to various diseases and conditions.
• A pilot project is planned to evaluate GECA's effectiveness, efficiency, and user satisfaction in a clinical setting.