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Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals.

Mamta Mittal1, Gopi Battineni2, Dharmendra Singh1

  • 1Department of Computer Science and Engineering, Delhi Skill & Entrepreneurship University, Okhla Campus-I, New Delhi, India.

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|October 25, 2021
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Summary

This study introduces an intelligent web chatbot to improve local hospital communication. The chatbot enhances data extraction and accessibility, reducing crowds and improving user-staff interaction.

Keywords:
BaggingHospital botNatural language processingNeural networksQueryWeb technologies

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Current local hospital systems lack transparent and reliable online data access for user queries.
  • Patients often act as passive communication channels, highlighting a need for improved interaction methods.

Purpose of the Study:

  • To develop an intelligent web chatbot framework for managing user requests and providing efficient access to local hospital information.
  • To enhance communication channels between users and hospital staff.

Main Methods:

  • Integration of a chatbot engine using machine learning (ML) approaches, including gradient descent (GD).
  • Application of natural language processing (NLP) algorithms for text processing and data extraction.
  • Sequential application of GD on mini-batches of trained data.

Main Results:

  • Successful incorporation of ML algorithms for managing synchronized text and voice messages.
  • Demonstrated capability of the chatbot in handling user requests and providing information.

Conclusions:

  • The developed chatbot offers a superior solution for data extraction from local hospitals.
  • The chatbot functions as an effective communication channel, reducing crowds and improving user and staff experience.