Project Details
Client: Institution of Aging & Lifelong Health
Year: 2020
Timeframe: 6 months
Main Service: UI Design | Mobile | Web
Filter by Category:
[porto_portfolios_category category_layout="list" number=""]
Project Summary
FreshWorks partnered with the University of Victoria’s Institute on Aging and Lifelong Health to create an application called ‘MyCogHealth’ — a cognitive health assessment mobile platform to improve detection of cognitive change. Medical researchers can use the tool to compare individual historical results to an individual’s current results to analyze age-related cognitive decline.
The Challenge
Assessing the cognitive changes for early detection of signs indicating the transition from normal cognitive aging to Mild Cognitive Impairment is highly valuable to researchers, particularly for preventing the transition to more severe stages of dementia such as Alzheimer’s disease. The Institute knew it needed to create a mobile application that captures digital health data to better diagnose and treat patients, and turned to FreshWorks for help.
The Solution
The research tool software enables participants to take part in studies, and participate in surveys throughout their day-to-day, capturing real data in different real-world scenarios. Participants are prompted to complete surveys when they become available and can answer a series of questions to complete brain games. These response characteristics are readily captured and shared with researchers so that they can try to determine how risk factors overlap or cluster to produce cognitive changes.
The web admin panel is a robust tool that researchers can use to create these customizable studies. Researchers can publish multiple studies, create surveys and questions within the studies, and schedule them to occur at specific times. When participants complete surveys, data is collected in the database and can be exported by the researcher by filtering and customizing the datasets.
Technologies Used
The MyCogHealth iOS app was built using Swift and Objective-C while the Android mobile app was built using Kotlin and Java. The front end relies on React and Redux while the backend relies on NodeJS and MangoDB.