Vik: A Chatbot to Support Patients with Chronic Diseases

Background: Chatbots are easy to use and simulate a human conversation through text or voice via smartphones or computers. In the field of health, chatbots can improve patient information, monitoring, or treatment adherence. Method: The objective of this article is to describe how a chatbot dedicated to disease monitoring and support of patients can interact with them and how data are exploited to be safe. Results: Wefight designed a chatbot named Vik to empower patients with cancers or chronic diseases and their relatives via personalized text messages. Natural Language Processing models were used. We built several Vik for each disease. Each Vik has its contents, its own NLP model and interacts its way with the patient. Conclusion: Conversational agents may help patients with minor health concerns without seeing a real physician. If the quality of these softwares is not thoroughly assessed, they could be dangerous. If chatbots are effective and safe, they could be prescribed like a drug to improve patient information, monitoring, or treatment adherence.

[1]  Jean-Emmanuel Bibault,et al.  Healthcare ex Machina: Are conversational agents ready for prime time in oncology? , 2019, Clinical and translational radiation oncology.

[2]  R. Calvo,et al.  Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review , 2017, Journal of medical Internet research.

[3]  Alexandre Escande,et al.  A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial , 2019, Journal of medical Internet research.

[4]  Kien Hoa Ly,et al.  A fully automated conversational agent for promoting mental well-being: A pilot RCT using mixed methods , 2017, Internet interventions.

[5]  Tom Nadarzynski,et al.  Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study , 2019, Digital health.

[6]  Jessica A. Chen,et al.  Conversational agents in healthcare: a systematic review , 2018, J. Am. Medical Informatics Assoc..

[7]  Jason Weston,et al.  Personalizing Dialogue Agents: I have a dog, do you have pets too? , 2018, ACL.

[8]  Adam S. Miner,et al.  Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health. , 2016, JAMA internal medicine.

[9]  Adam P Dicker,et al.  Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care. , 2018, JCO clinical cancer informatics.

[10]  Jean-Emmanuel Bibault,et al.  When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot , 2019, JMIR cancer.