Phase: |
Workpackage |
Theme: | Technology for Prevention and Reduction of Disease and Disability (WP5 TECH-DD) |
Type: | Research |
Status: | Active |
Start Date: | 2018-05-31 |
End Date: | 2018-05-31 |
Project Leader |
Jutai, Jeff |
Project Overview
This project will build on the previous SIP WP5.7 project completed by Welbi with AGE-WELL. The purpose for this project is to develop improvements for Welbi, a senior care technology company that is helping improve assistive care of older adults (65 years and older) in Canada. The project will focus on the development of a new chatbot feature for Welbi’s mobile health tech application. There are very few senior-focused health applications on the market today that collect detailed quantitative data as well as qualitative data. Welbi will collect quantitative data via its integration with existing wearable technology devices from manufacturers such as Fitbit. This project will help with the development of the new chatbot feature which is powered by machine learning and artificial intelligence, and this will help Welbi collect the qualitative data needed to take its predictive software to the next level.
This project will help Welbi develop a plan and hire the necessary staff to commercialize this new feature of the software platform. AGE-WELL’s portfolio of senior care technologies will benefit from this project. This project will help improve Welbi’s software so that it can have tremendous benefits and major impacts on the lives of seniors living in Canada as well as family members acting as caregivers for them. Welbi’s mobile application has the potential to greatly increase the independence of seniors and ensure they and their family members stay aware of any health changes or potential risks that are detected. The new chatbot will be specifically designed for seniors, and this feature will greatly increase levels of interaction with them. The chatbot will collect data about the senior’s health and well-being, and will also provide health information, related tips, and activity recommendations based on health status, activity levels, location, and weather.