Open AccessMr. Dr. Health-Assistant Chatbot
Author(s) -
Md Meem Hossain,
Salini Krishna Pillai,
Sholestica Elmie Dansy,
Aldrin Aran Bilong
Publication year - 2021
Publication title -
international journal of artificial intelligence (batam)/international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2686-3251
pISSN - 2407-7275
DOI - 10.36079/lamintang.ijai-0802.301
Subject(s) - usability , chatbot , system usability scale , scale (ratio) , computer science , rating scale , service (business) , health professionals , health care , world wide web , nursing , psychology , medicine , web usability , human–computer interaction , business , developmental psychology , physics , quantum mechanics , marketing , economics , economic growth
Research says 60% of visits to a doctor are for simple small-scale diseases, 80% of which can be diagnosed at home using simple check-up. These diseases mostly include common cold and cough, headache, abdominal pains etc. Whereas, chat-bots in healthcare are highly in demand, which functioning can offer various services from symptom checking and appointment scheduling. Therefore, the purpose of the research aims to design, develop and evaluate a health-assistant Chat-bot Application entitled “MR.Dr.” that helps users to ask any personal query related to healthcare without physically available to the hospital. MR.Dr. is evaluated in term of usability. 30 respondents attended the survey of usability evaluation. In the system usability scale MR.Dr. achieved 87.6 % rating which means Grade A (excellent). User's feedback level was pretty satisfying where 24/7 service is the highest one.