Mentor/s

Christopher Santorelli

Participation Type

Poster

Abstract

The Medical Chatbot is designed to help healthcare providers, especially nurses and doctors, quickly acquire health information and diagnose symptoms. This application aims to assist healthcare practitioners in gathering necessary patient information, streamlining the diagnosing process, and providing guidance for various medical diseases. The chatbot's conversational features let healthcare workers swiftly access information, validate symptom lists, and provide decision support for patient assessment. The project aims to deliver a secure, accurate, and user-friendly system that meets healthcare data standards and clinical needs. The chatbot aims to enhance healthcare workflows by swiftly providing precise information while respecting patient anonymity. The Medical Chatbot aims to enhance patient care and workflow efficiency by reducing data retrieval time and providing insights via a responsive digital assistant.

College and Major available

Computer Science BS, Information Technology BS

Academic Level

Undergraduate student

Location

Digital Commons & West Campus West Building University Commons

Start Day/Time

4-25-2025 12:00 PM

End Day/Time

4-25-2025 2:00 PM

Students' Information

Kervens Buisson, information Technology, December 2025

Gregory Dort, Information Technology, May 2025

Afia Owusu-Mensah, Computer Science, Honors, May 2025

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Prize Categories

Most Creative, Best Technology Prototype

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Apr 25th, 12:00 PM Apr 25th, 2:00 PM

Medical Chatbot

Digital Commons & West Campus West Building University Commons

The Medical Chatbot is designed to help healthcare providers, especially nurses and doctors, quickly acquire health information and diagnose symptoms. This application aims to assist healthcare practitioners in gathering necessary patient information, streamlining the diagnosing process, and providing guidance for various medical diseases. The chatbot's conversational features let healthcare workers swiftly access information, validate symptom lists, and provide decision support for patient assessment. The project aims to deliver a secure, accurate, and user-friendly system that meets healthcare data standards and clinical needs. The chatbot aims to enhance healthcare workflows by swiftly providing precise information while respecting patient anonymity. The Medical Chatbot aims to enhance patient care and workflow efficiency by reducing data retrieval time and providing insights via a responsive digital assistant.

 

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