Client

Healthcare & Wellness

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ConnectiTECH_Award-VLinkInc
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Developed a Healthcare App that Monitors Conditions, Promotes Wellness

VLink helped an online electronics company create an app that can go a long way toward helping local and regional retailers thrive in an age where better prices often are a few clicks away. The platform makes it easy for the shopper and the store to have an online dialog that leads to a value-add for the customer. The idea is to empower the retailer to leverage what it has and the big national online chain doesn’t have: Locality and flexibility

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Overview

VLink helped a healthcare company develop a mobile application that could be used to promote healthy lifestyles, and focus on specific diseases or conditions (such as high blood pressure). The underlying functionality enabled a wide range of features – tracking user behavior, recording key data for assessment, providing alarms for treatment and medications, enabling end users to research their conditions, and perhaps most importantly, directly contact experts. The mobile app can customize to address different diseases or to track a variety of illnesses, and conditions (such as high blood pressure or obesity) easily and quickly.

Challenge

To enables healthcare users to easily get information they need, to have their conditions tracked and to interact with professionals

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Solution Key Facts & Benefits

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.

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VLink worked with Health Dialog, a healthcare company to develop and produce a healthcare app that enables users to easily get the information they need, have their conditions tracked, and to interact with professionals.

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The app can easily be configured for a variety of diseases and conditions or to promote wellness.

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The app can be used on hundreds of devices based on iOS and Android.

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The app creates a live feedback loop between chat or text between experts and end users.

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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

EndResult

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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.

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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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