Basic Information

Our Solution

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Our solution's stage of development:

Research
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Our solution:

Convert organic waste to fertilizer to bring personal smartphone healthcare solutions to shared community-based SMART clinics

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Our pitch:

Target group

Around 250 million slum dwellers are estimated to be suffering from chronic diseases. They lead difficult lives with poor sanitation, intermittent employment, low awareness and no access to affordable and effective healthcare. When afflicted, they are caught in this vicious cycle of chronic diseases.

Remote healthcare

They don’t have access to technology and solutions that are proving effective in chronic care. We bridge this gap by bringing to them remote healthcare services through SMART clinics. A SMART clinic present in/near a slum will have Internet of things (IoT) environment. It will provide screening through IoT-enabled medical device, electronic health records, health analytics based prescriptions and video consultation with doctors present around the world to solve disease. SMART clinics will provide healthcare services for cardio-vascular, diabetes and hypertension. Furthermore, a SMART will give food and medicine coupons to make the dietary prescription affordable.This idea will make healthcare efficient, effective and affordable for slum dwellers at large. The idea is to take advantage of individualized smartphone application to shared community-based SMART clinics

Feasibility

These services will be subsidized by the revenues generated from a waste management system. This system will convert organic wastes into quality fertilizer using human-powered waste to fertilizer convertor. The power required to run the converter will be generated by patients exercising on bicycles as prescribed by SMART clinics. The revenue generated by selling the fertilizers will subsidize the service cost the SMART clinic. Our innovative business model leverages patient’s exercise as a financial resource making it affordable and sustainable.

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The problem:

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This information was not requested for Solve proposals at the time this solution was submitted.

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Why our solution will solve the problem:

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Solution Team

  • Abhinav Khare Graduate Research Assistant, University at Buffalo
 
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