The problem we are tackling
In face of corona crisis many small companies switched their production to protective equipment. They don't produce large quantities, but they are one of many on the market who want to help. Their problem is that they don‘t know to which hospitals they should deliver to because they don’t know which ones are in greatest need. On the other side, hospitals struggle to plan for the future because they don’t know how their situation will be evolving. Matching between hospitals and producers volunteering to provide medical resources is not supported.
Our solutions is to bring the ends together our solution orchestrates and matches hospitals and producers based on resource demand and supply. On top of that, we offer the hospital a solution to predict their demands in resources based on the regional COVID cases
Hospital employees open the registration form on their mobile to get valid access to the resource input page. They enter their local information. They also enter the need of each resource. They can then see the predicted spread in their area coming from our SEIR mathematical model. The providers get access to the map and can see in which areas certain resources are located and will be needed.
The core of our solution is an AI that takes decisions based on real time data from multiple resources regarding which hospital should be supplied.
We implemented and deployed it with the shown technology stack.
By orchestrating and matching hospitals and producers based on resource demand and supply, we expect to bring the ends together. On top of that we offer the hospital a solution to predict their demands in resources based on the regional COVID cases. This will lead to a better and faster allocation of protective equipment and the required medical resources.