KHealth Chatbots
Chatbots
abstract for general -----
Chatbot for Asthma management
Asthma, chronic pulmonary disease, is one of the major health issues in the United States. Given its chronic nature, the demand for continuous monitoring of patient’s adherence to the medication care plan, assessment of their environment triggers, and management of asthma control level can be challenging in traditional clinical settings and taxing on clinical professionals. A shift from a reactive to a proactive asthma care can improve health outcomes and reduce expenses. On the technology spectrum, smart conversational systems and Internet-of-Things (IoTs) are rapidly gaining popularity in the healthcare industry. By leveraging such technological prevalence, it is feasible to design a system that is capable of monitoring asthmatic patients for a prolonged period and empowering them to manage their health better.
In this thesis, we describe kBot, a knowledge-driven personalized chatbot system designed to continuously track medication adherence of pediatric asthmatic patients (age 8 to 15) and monitor relevant health and environmental data. The outcome is to help asthma patients self manage their asthma progression by generating trigger alerts and educate them with various self-management strategies. kBot takes the form of an Android application with a frontend chat interface capable of conversing both text and voice-based conversations and a backend cloud-based server application that handles data collection, processing, and dialogue management. The domain knowledge component is pieced together from the Asthma and Allergy Foundation of America, Mayoclinic, and Verywell Health as well as our clinical collaborator. Whereas, the personalization aspect is derived from the patient’s history of asthma collected from the questionnaires and day-to-day conversations. The system has been evaluated by eight asthma clinicians and eight computer science researchers for chatbot quality, technology acceptance, and system usability. kBOT achieved an overall technology acceptance score of greater than 8 on an 11-point Likert scale and a mean System Usability Score (SUS) greater than 80 from both evaluation groups.t for Asthma Video Link to kHealth Asthma Project Contact:
Chatbot for depression – link to reactrack - http://wiki.knoesis.org/index.php/ReaCTrack
Chatbot for Nutrition
Obesity is a common yet disastrous lifestyle disease worldwide. It is one of the leading cause of the overall global burden of disease. The number of calories contained in food is not always intuitive to humans and are responsible for the increased prevalence of obesity. There is a need to prevent overweight transitioning from obesity and minimizing obesity-induced hospitalization. While there exists several mobile and web applications that attempt to bridge this gap, they are either not user-friendly and ubiquitous for the day-to-day use by the general public. Increased adoption and ubiquity of mobile health (mHealth) technology such as conversational systems (chatbot) can be proposed to assist in such situations. Intelligent user-chatbot interactions are speculated to have an empowering effect for users to maintain their healthy lifestyle. We developed NOURICH, an interdisciplinary project that integrates food knowledge and their nutritional values to augment diet planning for personalized health. It is first of a kind voice assistant and its novelty includes leveraging two knowledge graphs (domain-specific and personalized user-centric) to (i) provide long-term tracking of food log, diet adherence, and daily calorie intake in a ubiquitous manner and (ii) identify diet habits of the users through images and incorporate them to profile the users to deliver personalized and effective dieting guidelines. We also discussed on how this user-centric voice assistant can be used to augment personalized healthcare for (i) self-monitoring, (ii) self-appraisal, (iii) self-management, (iv) intervention, and (v) disease progression tracking and tracking.
Keynote talks
