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S

Sahay

Increase the Efficinecy , Decrease The Time

Created on 2nd July 2021

S

Sahay

Increase the Efficinecy , Decrease The Time

The problem Sahay solves

Today, healthcare professionals gather a lot of data, but it often is scattered between various departments and compiled on separate systems and documents, leaving all this potential untapped. To help you run smoothly your hospital, analyzing healthcare metrics on every division of your facility and monitoring the attendance, its nature, and the expenses it generates is a must-do. By constantly improving hospital performance, patient satisfaction levels, and generating insights with the help of modern healthcare analytics and professional dashboards, you can get ahead of the competition but, most importantly, provide outstanding patient care. Finally, automated healthcare reports will ensure you never miss an update in your data and increase your operational and strategic performance as a result. Also with the Increase of the Diseases and awarness of the patient , the correct data and smart usage of employess is a must need and without it hospital can turn into chaos and thus patients will suffer

Our Solution to this problem is A personlized Automated Dashboard - Sahay . This is a Automated Dashboard that will handle all the data and give you awesome results to the User. Sahay is one of a kind helping hand that will help the hospital administrator by giving results like nurse to patients ratio that will help the hospital not to be understaff and many more such visual representations that will help the user who has no expirence in coding get high class visualization . Also Sahay is automated as the patient enter their feedback and the hospital enters its data the visualizations will get updated.Sahay is the go to dasboard for all the hospital as it will help them run as efficient as possible.

Challenges we ran into

There were many challanges we ran into

  1. This was our first project using HTML,CSS so we found it a bit challanging to first design stuff and also then use java script
    to connect plotly
  2. We also faced problem while connecting to MongoDB atlas as there were certain IP address problems .
  3. We faced problems while Deployment due to runtime errors
  4. The login and register pages were also a bit of challenge as they were not registering in the data base
  5. Managing the data and coming up with formulas and equations to show vizualizations was also a bit a brainstorming session
  6. Also the asthetic plus the grid also was a problem in itslef
    But all in all it was a great expirence and we learnt a lot

Discussion

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