Client

Healthcare

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A New Way of Seeing Diabetes

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.

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Overview

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.

Challenge

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.

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Solution Key Facts & Benefits

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.

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To learn more, please download the case study.

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Technology Stack Used

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Express JS

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NEXT JS

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Mongo DB

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FIGMA

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AWS

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Jenkins

End Result

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

To learn more, please download the case study

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