Improve accountability and trust

Lack of tracking of a cases solution in a timeframe for government sector hospitals makes things difficult for country or world with growing population, impacts poor and needy ones in the emergency as well reduces trust and accountability in the system.

What it does :

It gets the data from tracking system of the hospitals so that it can evaluate the performance of the particular hospital or the regions so to increase efficiency and accountability.

How we built it

We built it using data points extracted from real time tracking system of the network of the hospitals. AI and ML used for getting insights for efficiency and inventory system.

Challenges we ran into

Trust : Use of a Blockchain for verifying genuine data. Cost effective : use of open source tools and its maintenance. Security : Prevent sensitive data from hack and attack for being misused. Information : By tracking system a message can be send a recipients so that they can be informed on the progress of there cases it will save the time and also gives them sense of relief.

Accomplishments that we're proud of

From this we can improve efficiency of the hospitals either it is region wise or countrywide or the singular. By this we can improve lives of people and their trust in the system also the accountability of the the system. Also saves lot of resources from being misused in unwanted market.

What we learned

Building this kind of system is challenging as database required is huge also should be robust as cases can vary from one another. Also getting data from underdeveloped countries are challenging as lack of resources. Decentralization of the database is must so as to prevent any kind of loss.

What's next for Healthcare System Improvement by Tracking and Analysis

Just like Corona pandemic we got interactive chart on google page to drill down and see details on a large level to small level as well, hope we can develop such a system for other diseases as well. As AI and ML are going to improve we can use it to predict side effects of a current situation and plan accordingly.

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