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Know how we created a platform where users can store and monitor all their healthcare apps and devices' data, find medical caregivers for their friend and family, and connect with people making the expansive healthcare world a community.
Today's generation uses at least 7 mHealth Wearables and Apps every day, with each of them tracking individual areas of their health. What they are missing is a platform which would connect all the devices together and do a lot more than just being a concentrated platform.
Health-ePeople is an app that does just that. Apart from fetching and presenting the data from 200+ devices and apps in one place, the platform also connects users with caregivers for helping with their unwell family members or friends.
It doesn't end there. On the basis of the data, a predictive and prescriptive analysis sheet is drawn, helping the users in their health journey. For the universal good, all the generated data are, with consent, sent over to researchers to build the healthcare industry making it more responsive.
We had an idea that would transform the world of not just the health conscious users and their family/friends but would also make the healthcare industry more responsive by giving them insights into the ground level health issues people are facing. We came to Appinventiv with an idea that had a number of features which had to be in sync with each other to a very atomic level.
The first task that we did upon getting the app idea was integrating the Human API Platform in the app. Since all the devices were the third party, we brought the Human API platform in the process. All the data first went to the API and from the API we used to fetch the information to present on the app. Next, we broke down the processes defined in the wireframe for all the three panels - Users, Caregivers, and Researchers and worked on them in Agile cycle.
Since the app was extremely content and graphics-rich, we set all the UI elements - from text font to color choice and icon - in a way that would make it easy on the users' eyes to move within the app and read, analyze all the given insights.
The implementation of San Francisco across the various platforms makes it easier for developers to choose monospaced, or proportionally-spaced numerals.
We suggested using cold colors for the background of the app’s design. These tones establish an overall sense of tranquillity that is necessary to help users concentrate on the more important features of this app.
The biggest challenge that we encountered straight from the ideation stage was of getting the data from over 200 healthcare devices and apps in one place. Creating an algorithm to sync them in real time, took us a few days to get a grasp on.
We worked alongside our Client on the wireframe we had designed and took every broken down piece of the process specific to the three panels (Users, Caregivers, and Researchers). We had our team of developers, designers, and testers in the loop for ensuring that every element of the panels was tested before moving on to the next.
Appinventiv ensured that every complicated process was broken down in parts that would make it easier for the users to interact with the application. The resulting product that came to us was an app that justified every process we wanted it to perform, benefitting all - the users, caregivers, and the researchers.