Our idea is inspired by the experience of getting lost in big buildings (mainly academic and hospital buildings) where Google Maps is not helpful. In addition, in times where social distancing is of major importance, avoiding crowds, as for example, in waiting rooms, may be a valuable feature.

What it does

We are in process of building the first prototype. It will allow users (patients) to include their next doctor appointments with address and obtain the complete pathway up to the doctor´s office door. For hospitals, they will be allowed to monitor movement of users and act in case of crowding. The patient will receive a notification with a new pathway to a different waiting room, depending on the waiting time, and informed about it. In addition, we will also like to offer the hospitals the option to track expensive and important medical devices within the hospital to optimize the in-house resources of the hospital and notify them in case the medical device is stolen (leaves the hospital).

How we built it

We aim to build the system, in a hardware-less manner. The already built-in sensors from the users mobile phones will be used to locate them. An algorithm will calculate the most probable best approximate location of each user. Server-less cloud solutions will run and storage the data. The application will be built for multiple mobile devices systems. In case of adding the option of tracking devices, the IoT (beacons) used for each device will be also added to the indoor location system of the user, improving accuracy.

Challenges we ran into

We are aware that the indoor location without any IoT is not the most accurate, however with pre-defined possible paths (in buildings, the potential paths are not infinite) the probability of locating accurately a user may be improved. Once users are located, either the hospital or AI-driven algorithm may relocate users depending on demands or current recommendations (such as in case of pandemic infections, or different hygiene status).

What's next for SciOps Lab

SciOps Lab is looking for developers to help us in the building of the first prototype and engage in this adventure.

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