Revolutionizing Surgical Efficiency with Computer Vision

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.