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


Thi Ngoc Thao Pham; Ha Phuong Truc Nguyen; Thi My Ni Pham, Quang Than Tran; Hoanh Su Le, Vol. 4, No. 1, pp. 9-15, Mar. 2022
10.22662/IJASC.2022.4.1.009, Full Text:
Keywords: AI chatbot, Hospital bot, Health and medical, COVID-19, RASA

Abstract

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.


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Cite this article
[APA Style]
Thi Ngoc Thao Pham; Ha Phuong Truc Nguyen; Thi My Ni Pham and Quang Than Tran; Hoanh Su Le (2022). Design an artificial intelligence chatbot to support patient declaration and direction of examination rooms for outpatients. International Journal of Advanced Science and Convergence, 4(1), 9-15. DOI: 10.22662/IJASC.2022.4.1.009.

[IEEE Style]
T. N. T. P. H. P. T. N. T. M. N. Pham and Q. T. T. H. S. Le, "Design an artificial intelligence chatbot to support patient declaration and direction of examination rooms for outpatients," International Journal of Advanced Science and Convergence, vol. 4, no. 1, pp. 9-15, 2022. DOI: 10.22662/IJASC.2022.4.1.009.

[ACM Style]
Thi Ngoc Thao Pham; Ha Phuong Truc Nguyen; Thi My Ni Pham and Quang Than Tran; Hoanh Su Le. 2022. Design an artificial intelligence chatbot to support patient declaration and direction of examination rooms for outpatients. International Journal of Advanced Science and Convergence, 4, 1, (2022), 9-15. DOI: 10.22662/IJASC.2022.4.1.009.