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Related Concept Videos

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Related Experiment Video

Updated: Feb 7, 2026

Symptom Assessment of Patients with Allergic Rhinitis Using an Allergen Exposure Chamber
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Quro: Facilitating User Symptom Check Using a Personalised Chatbot-Oriented Dialogue System.

Shameek Ghosh1, Sammi Bhatia1, Abhi Bhatia1

  • 1Medius Health, Sydney, Australia.

Studies in Health Technology and Informatics
|July 25, 2018
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Summary
This summary is machine-generated.

This study developed an automated medical chatbot for symptom assessment and triage. The conversational AI achieved 0.82 average precision in predicting user conditions, improving healthcare accessibility.

Keywords:
artificial intelligenceconversational chatbotnatural language processingprimary care

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Digital Health

Background:

  • Automated conversational agents offer potential to reduce healthcare readmissions.
  • Improving accessibility to medical knowledge is a key healthcare challenge.
  • Current methods for patient assessment can be cumbersome.

Purpose of the Study:

  • To develop and evaluate an automated chatbot for medical triage and condition assessment.
  • To provide personalized pre-synopsis based on user-reported symptoms and profile.
  • To demonstrate a conversational approach for patient pre-assessment.

Main Methods:

  • Development of a natural language processing-based chatbot for medical applications.
  • Engaging patients in conversational symptom assessment.
  • Evaluation of chatbot performance using patient test cases.

Main Results:

  • The chatbot achieved an average precision of 0.82 in correctly predicting user conditions.
  • The system successfully provided personalized pre-synopsis based on symptoms.
  • Demonstrated effective triage and pre-assessment capabilities.

Conclusions:

  • Automated medical chatbots can aid in automatic patient triage and pre-assessment.
  • A conversational approach offers an alternative to traditional form-based data entry.
  • This technology can enhance medical knowledge accessibility and potentially reduce readmissions.