Improve the patients' health and reduce the number of ER visits to the hospitals by tracking the members’ health and providing health coaching and resources. • Improve customer loyalty by increased store visits. • The users to stay motivated by keeping them engaged in the challenges and rewards programs.
Summary: Improving outcomes with the ability to codify patient populations by clinical definitions. Our client wanted an easy way for their patients, who are diabetic, to be able to track their wellness activities, improve their health and encourage pharmacy visits for the regular diabetes supplies.
Our client wanted to develop an application for their members with diabetes which would track the wellness activities, improve their health and encourage them to visit the pharmacy stores for the regular diabetes supplies.
Our team designed and developed a mobile application that helps the members with diabetes to track their daily wellness activities such as water intake, food intake, supplement intake, physical activities and biometric measures such as blood pressure, blood glucose, and much more. Features:
Health Coaching: The application offers a 24/7 health coaching feature that enables members to engage with health coaches via chat, email or phone.
Resources: The app provides several resources on diabetes such as recipes, medications, symptoms, and procedures
Challenges and Rewards: The members can join challenges tailored to patients with diabetes, set competitive goals and earn rewards that can be redeemed.
Reminders: The members are encouraged to meet their goals by email and text reminders.
Integration: The app integrates with several devices and applications to improve activity and wellness tracking.
To learn more, please download the case study.
To develop and produce a healthcare app that can can customize to address different diseases or to track a variety of illnesses, conditions (such as high blood pressure or obesity) easily and quickly.
Our team succeeded in delivering a machine learning model that merged AI and IoT to improve the client's healthcare app. The ML algorithms enabled data crunching and data-based notifications for iOS