MOBILE HEALTH APPLICATION ADAPTABILITY AND USER BEAHVIOR USING GIS

Abstract

As per the WHO data doctor to patient availability in India is very low which creates a burden on the medical staff and infrastructure. This show the country needs modern day technological intervention to share the burden, mobile health application is one of such intervention. In the published report of PWC, it has been mentioned that mobile health applications on one hand are not widely accepted by consumers even though mobiles are quite handy things these days. On the other hand, it has been in a better position from the past due to more features available. This has made us study the behavioral patterns of the users why and how they and for what they are using these apps and in what regularity. Our main study focuses on developing an interactive dashboard which takes the inputs as CSV files and gives the handy tool to the user, to interact with it and find out which app is more popular and for what purpose it’s being used. The Power BI dashboard has been created by using measures and calculated columns to define the data in more appropriate ways. Both of these things entail DAX (Data Expression Language) which can convert Data into more meaningful. Furthermore, Hotspot, Near and Drive time area analysis using Arc GIS Online platform has been done to find the hospitals and user’s relation based on their location. Results have shown us that dashboard is working fine and gives correct outputs. The dashboard in future can be linked to a server which fetches the live data and can give real insights at a moment to understand the behavior of the end-user and we can understand the patterns of users. Furthermore, the future scope of the dashboard lies in the fact that it can be linked to live medical facility data which shows bed availability, type of specialization available and to give the user a option to take medical services through app.