# Revolutionizing Surgical Efficiency with Computer Vision

We developed a computer vision-powered surgical tracking system for 1Team™ automating workflow monitoring and providing real-time insights to optimize OR efficiency and improve patient outcomes.

**Goal:** Develop a computer vision-powered surgical tracking system for 1Team Surgical to automate workflow monitoring, eliminate manual data entry, and provide real-time insights, enabling hospitals to optimize OR efficiency, enhance decision-making, and improve patient outcomes.

**Problem:**

- **Manual Tracking Limitations:** Before integrating computer vision, OR staff had to manually log surgical steps, leading to delays, inconsistencies, and inefficiencies.

- **Lack of Real-Time OR Insights:** Hospitals struggled to measure surgical efficiency, making it difficult to identify workflow bottlenecks and improve turnover times.

- **Reactive Communication & Decision-Making:** Without automated tracking, OR teams relied on manual updates, causing inefficiencies in resource allocation and scheduling.

**Solution:**

- **Computer Vision-Driven OR Tracking** – Implemented an AI-powered computer vision system to track surgical teams, equipment usage, and procedural milestones in real-time.

- **Automated Surgical Step Recognition** – Eliminated manual logging, reducing human error and enhancing data accuracy for workflow analysis.

- **Real-Time Efficiency Metrics** – Provided instant insights on procedure durations, idle times, and team performance, enabling predictive scheduling and process optimization.

- **Seamless Integration with 1Team Platform** – Designed to work within existing hospital systems, syncing with the 1Team mobile and web applications for centralized data access.

- **HIPAA-Compliant & Secure Architecture** – Ensured patient privacy and compliance while running on a secure GCP-based infrastructure.

**Impact:**

- Eliminated manual tracking, improving workflow accuracy and OR efficiency.

- Reduced procedure documentation time, allowing nurses and surgical staff to focus on patient care.

- Enabled data-driven process optimization, improving turnover times and reducing OR downtime.

- Enhanced predictive analytics, allowing hospitals to anticipate inefficiencies and allocate resources more effectively.