1️⃣ Project Title

Outpatient Clinic Workflow Optimization Model

2️⃣ Team Name

Biovolts (Tisha Chatterjee)

3️⃣ Challenge Chosen

Healthcare Resource Optimisation – Option 1: Optimization algorithms for staff scheduling, room allocation, or appointment systems

4️⃣ Project Description

This project demonstrates a prototype for optimizing patient scheduling and resource allocation in outpatient clinics. Using a simulated dataset (clinic_simulation_log.csv), our model predicts waiting times and suggests improved scheduling to minimize delays, improve staff utilization, and enhance patient experience.

5️⃣ Features

Predicts potential delays using appointment and duration data.

Suggests optimized schedules to reduce bottlenecks.

Simulated dashboard shows patient flow and resource utilization.

Simple JavaScript-based prototype to showcase concept during the hackathon.

6️⃣ Files Included

text.js JavaScript prototype (core logic and visualization of the model)

clinic_simulation_log.csv (Dummy patient/clinic data used for simulation)

Presentation.pdf (4-slide presentation outlining the project (Problem, Solution, Impact, Demo))

Final_Documentation.pdf (4-page documentation PDF of the project, screenshots, and methodology)

Demo_Video.mp4 (Short demo video showing how the prototype works)

7️⃣ How to Run the Prototype

Download the project folder.

Ensure text.js and clinic_simulation_log.csv are in the same directory.

Open text.js in your preferred editor or run it through a simple HTML page with <script src="text.js"></script> included.

Use the CSV data as input for the simulation/visualization.

Refer to the demo video for guidance on using the prototype.

8️⃣ Technologies Used

JavaScript

Dummy data simulation (CSV)

9️⃣ Future Scope

Integration with hospital systems.

Use of machine learning to predict waiting times.

Expand model to multiple clinics or full hospital systems.

🔟 Authors

Team Biovolts – Biomedical Engineering Hackathon 2025