Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge: Case Studies with Healthcare Applications

AbstractPresents case studies in the healthcare industry that focus on the use of Chatbots to improve patient monitoring and medical services. The transition towards personalized health management requires public awareness about management strategies of self-monitoring, self-appraisal, and self-management, eventually paving a way to more timely interventions and higher quality patient–clinician interactions. A key enabler is patient generated health data, fueled in good part by the growth in wearable devices including smart watches and other Internet-of- Things (IoT) for health-tracking. These tracking devices provide “low-level” monitoring signals indicating health conditions such as sleep apnea and heart rhythm disorder. However, to make more sense of IoT data, it is imperative that we develop cognitive approaches where they mine, interlink, and abstract diverse IoT data. These cognitive approaches often needs to keep the user closely engaged to acquire more information, to obtain feedback, to collect verbal health conditions, and to provide intervention and management actions. The chatbot technology was initially introduced as an artificial conversational agent to simulate conversations with a user using voice or text interactions.