Case Study

Healthcare System - Misfit Device to Track Daily Walking, Running, Sleeping Activity

Technology :

.Net, Android, IOT wearable

Industry :


Objective :

To help senior healthcare providers identify residents in potential need through passive technology with data-driven predictive analytic solution.

1. Overview of the Project

Healthcare system is an advanced system, a website, which takes care of the daily activity and sleep of the residents at nursing home. Every resident when gets into a nursing home is given a MISFIT device to wear in hand. The personal details and physics of the resident are synced with the device through the system. The Resident’s personal details are fully secured through HIPAA compliance. Daily activities like walking, running, sleep etc. are tracked through Healthcare system for each resident. In case of any unusual activity recorded can be reacted fast through urgent personal attention. Each resident is provided an Android Tablet which contains Healthcare APP version by default. The APP contains a “HELP ME” button, which when pressed in case of urgency, SMS the associated doctor/nurse for urgent attention. In this way, the APP and the website together provide an advance system to take care of the residents at nursing home.

2. Requirements for the Project

The client approached Evince Development with the requirements to create an effective and low budget solution for the proper care and maintenance of residents at nursing home. The system developed should be resalable to any number of nursing homes. Proper track of data and securing the personal details of the residents. Graphical representation of the data with proper GUI. A “HELP ME” button in the APP from where a resident can send a direct alert SMS to associated doctor/nurse.


Search of the fitness device which fits the requirements of the client with low budget, better battery life, sufficient information and protocols. Managing the huge activity and sleep data of the residents. Creating a solution which is resalable to any number of nursing homes.

4. Solution

Evince tried with many fitness devices, but MISFIT Flash Device fulfilled all the requirements. Through the SDK provided by MISFIT, Evince created the APP and Website. Evince created SAAS based solution with Multi-tenant architecture using MongoDB. Evince used Twilio library for SMS purpose.

5. Approach

Evince used ASP .Net 4.5 Framework. We have used MongoDB to store data and database operation. JavaScript is used to provide a secured solution with JQuery for different functions like form validation, event handling, and Ajax interactions and AJAX for avoiding page loading. Evince used HighCharts.js for graphical representation of the activity and sleep data of residents.

Evince uses its own approach for software development which is the combination of various models like Scrum, Prototyping and Iterative model. Evince team goes through detailed analysis and requirement gathering and plans for such an approach for an effective solution that fulfills the client’s business requirements. After this, the team provides the blueprint and design of the proposed website. Once the front end UI gets approved by the client, the development is initiated. The system will be then tested stepwise and will be deployed to the client.

6. Features

  • SAAS based Multi-tenant architecture: Healthcare system can be used by different nursing homes through same URL and separate database.
  • Activity and Sleep Data: Activity and sleep data of the respective resident are sent to respective DB, through WEB API from APP
  • HighCharts.js: Graphical representation of the activity and sleep data.
  • Alert SMS: Alert SMS sent through “HELP ME” button of APP, to respective doctor/nurse.

7. Benefits

Healthcare system is an excellent and advanced solution for keeping an eye on resident’s health. Any nursing home can simply use this system to get the activity and sleep details of their resident and can track their health. The system is created through SAAS based solution with Multi-tenant architecture. System uses advance HighCharts.js for graphical representation of the data. In Backend MongoDB is used which provides high scalability and performance. On top of this Twilio library is used for Alert SMS in case of urgency by resident. In short, this is the best solution for any nursing home to ease their work and keep a proper eye on resident’s health.