Predict PPE Burn Rate.

Predict PPE based on local factors and live data, prioritize hospitals

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Local Data
We predict and use trend data for covid 19 cases on the county level.
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Individualized PPE Consumption
We have the ability to work with hospitals to develop the model specifically to their needs.
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Population Flow
We model the case flow from surrounding counties to large population centers.

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Hospital Specific
We use a hospitals unique attributes, like bed size and location, to power an individualized prediction for each hospital
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Support for Sizing
Currently working on support for different sizes of PPE.
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Beyond COVID
Our model can easily be adapted to predict PPE demand based on other driving forces, such as general upper respiratory infections.

How it Works

For any PPE Type, our model predicts days on hand using live local data, external trends, and population flow.

A predictive model that's easy to use

You only need to know your current PPE stock, we handle the rest. Have more information such as your historic use rate? Head over to the advanced input tab to get a more specialized model.

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Behind the scenes, we crunch the numbers

We take into account live local data, including varying infection rates, case flow between counties, and hospital size and location.

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Concise results, including an accurate days on hand projection.

The results dashboard displays not only the projected days on hand for the PPE type, but also the supply curve for each day in the future so you can plan critical orders days in advance.

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Prioritize hospitals within a network

Rank hospitals in your network by predicted burn rate, and prioritize PPE supply to the most critical hospitals.

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Get in touch + Try our Solution

Before trying our solution, drop us a line. It will greatly help us understand the problem space we are helping as well as who is interested in our solution.
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Meet the Team

We're a multi-disciplinary team from Georgia Tech with a passion for working on impactful projects.
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Sebastian Hollister
Georgia Tech CS '21
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Maximilian Hollister
Georgia Tech BME '21
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Akash Moozhayil
Georgia Tech ME '21
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Mike Adamo
Georgia Tech BME '21
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Brandon D'arienzo
Georgia Tech ME '21
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