Optimizing Operation Theatre Management
A smart scheduling system that efficiently allocates surgeries between Regular and Emergency OTs, leverages predictive insights, and provides intuitive visualizations for streamlined decision-making
Key Features of Our OT Scheduler
In-situ patient monitoring systems for real-time health updates require big-data analysis to assist medical doctors. We can provide architectural and system solutions to build these technological nuances into your existing system stack.
Built with Python, Streamlit, and deployed on Render for scalability, ease of use, and seamless integration into hospital workflows.
Features timeline plots using Plotly to display schedules, with color-coded priorities (top 10, bottom 10) for better decision-making.
Utilizes XGBoost to predict patient attendance probabilities, reducing idle theatre time by prioritizing high-likelihood cases (Accuracy: 79.8%).
Why Choose OT Scheduler?
The system addresses inefficiencies in OT scheduling, reduces idle time, improves resource utilization, minimizes patient wait times, and enhances patient outcomes. It uses predictive modeling (XGBoost) and a weighted greedy algorithm for dynamic scheduling, making it a robust and scalable solution.
Operations Theatre Efficiency
The scheduler minimizes idle theatre time by predicting patient attendance (79.8% accuracy), dynamically allocates surgeries between Regular and Emergency OTs, and provides utilization metrics to monitor performance.
