Operank Scheduling is a system for scheduling patients' surgeries, while optimizing the hospital's timetable.
The system was developed as part of a final project in Electrical and Electronics Engineering, Tel-Aviv University, in collaboration with the Tel-Aviv 'Souraski' Medical Center (Ichilov Hospital).
Using an XGBoost prediction model trained on real data, along with an optimization approach with Google's CP-SAT solver, the system achieved an increase of 25% in operating room utilization and a subsequent increase of 40% in the amount of surgeries scheduled per unit of time - in comparison with the current schedules of Tel-Aviv 'Souraski' Medical Center.
The general design is summarized in the following diagram:
To work on this repo as a developer, make sure to perform an editable install with pip, using pip install -e .
This installs the package in 'editable' mode, allowing for the inner imports to work as intended.
Other requirements are needed, as specified in the requirements.txt file.
python -m venv venv
.\venv\Scripts\activate (on windows, or)
source ./venv/bin/activate (on unix)
pip install -e .
pip install -r requirements.txt
The code can now be edited, with changes being reflected immediately.
Some hospital-specific assets are needed for the program to run, including the surgeon schedules and some patients.
An example of all these assets can be found in the following link.
The package also contains unit tests for some of the functionality of the system. All tests needs to pass.
A list of all dependencies and their licenses are given in the THIRDPARTYLICENSES file.