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Design an artificial intelligence chatbot to support patient declaration and direction of examination rooms for outpatients

첫 페이지 보기
  • 발행기관
    ASCONS 바로가기
  • 간행물
    IJASC 바로가기
  • 통권
    Volume 4 Number 1 (2022.03)바로가기
  • 페이지
    pp.9-15
  • 저자
    Thi Ngoc Thao Pham, Ha Phuong Truc Nguyen, Thi My Ni Pham, Quang Than Tran, Hoanh Su Le
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A410030

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원문정보

초록

영어
Background/Objectives: Automation is a trend currently, and chatbots are an excellent way for organizations to automate customer service duties. The medical profession has been put under immense strain during COVID-19 outbreaks as the number of patients increases rapidly, causing medical institutions and hospitals to be overcrowded. Users will find it challenging to schedule an appointment at a clinic, provide health advice, or update information due to this. Methods/Statistical analysis: A chatbot that supports users in advising, making appointments, and screening COVID-19 patients at clinics can be a valuable resource for both the user and the clinic in this situation. This paper developed a framework for developing a chatbot for clinics using a specific Frequent Answer Question (FAQ) dataset relating to COVID-19 and frequent diseases in Vietnam. In our study, the RASA framework was used with data collected from interviewing receptionists and website of clinics. Findings: Our chatbot can act as a counsellor, assisting patients with scheduling appointments, answering inquiries about symptoms of common illnesses, in particular, COVID-19 patient screening. In addition, we integrated our chatbot with Facebook Messenger and Zalo, two major social networking sites in Vietnam. Improvements/Applications: For specific implementation with each clinic, dataset enhancement and new services information update are necessary for broader applications.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
A. Chatbot
B. Medical and healthcare industry
C. RASA framework
III. RESEARCH METHOD
A. Creating chatbot’s process
B. Experiments
C. Discussion
IV. CHATBOT IMPLEMENTATION
V. CONCLUSION
REFERENCES

키워드

AI chatbot Hospital bot Health and medical COVID-19 RASA

저자

  • Thi Ngoc Thao Pham [ Student, University of Economics and Law, Ho Chi Minh City, Vietnam National University Ho Chi Minh Chi City, Ho Chi Minh City, 700000, Vietnam ]
  • Ha Phuong Truc Nguyen [ Student, University of Economics and Law, Ho Chi Minh City, Vietnam National University Ho Chi Minh Chi City, Ho Chi Minh City, 700000, Vietnam ]
  • Thi My Ni Pham [ Student, University of Economics and Law, Ho Chi Minh City, Vietnam National University Ho Chi Minh Chi City, Ho Chi Minh City, 700000, Vietnam ]
  • Quang Than Tran [ Lecturer, University of Economics and Law, Ho Chi Minh City, Vietnam National University Ho Chi Minh Chi City, Ho Chi Minh City, 700000, Vietnam ]
  • Hoanh Su Le [ Dean & Lecturer, University of Economics and Law, Ho Chi Minh City, Vietnam National University Ho Chi Minh Chi City, Ho Chi Minh City, 700000, Vietnam ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    ASCONS [The Academic Society of Convergence Science Inc]
  • 설립연도
    2017
  • 분야
    복합학>과학기술학

간행물

  • 간행물명
    IJASC
  • 간기
    계간
  • pISSN
    2619-8150
  • 수록기간
    2019~2024
  • 십진분류
    KDC 327 DDC 332

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