Simulation of Patient Flow in Healthcare with SimPy and Power Bi

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by London, England Chapter.

The problem

Diagnostics are a constraint in accessing treatment. Healthcare planners need the capacity to simulate patient flow and forecast demand. SimPy is a process-based discrete-event simulation package based on standard Python.

An open-source simulation model with one-shot optimization capability deployed to a web interface would deliver a valuable tool for healthcare planners. Furthermore, a free simulation environment would enable better collaboration between healthcare systems and the generation of anonymous synthetic data.

The goals

Leverage the SimPy library and Power Bi to develop an embedded web simulation service. Generate synthetic data and deploy to a URL-end point to capture run data for future ML training models.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level. A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment. And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work