Development of a Remote Surgical Training and Live Streaming Platform

Growing demand for remote training tools in healthcare, accelerated by the COVID-19 pandemic, has revealed a need for flexible, real-time surgical streaming solutions that enable medical professionals and students to access live surgical procedures from any location. Existing limitations include insufficient development capacity and lack of integrated platforms supporting user management and secure access.

A mid-sized medical technology startup focused on enhancing surgical training through innovative remote streaming solutions.

• Create a robust web-based platform enabling live streaming of surgical procedures from specialized head-mounted cameras.
• Implement user management features, including administrator controls for device operation and user access management.
• Allow secure sharing of live streams via unique links and PIN codes to facilitate both group and one-on-one training sessions.
• Ensure high-quality, real-time video transmission with minimal latency.
• Develop a system that supports multiple user roles with differentiated permissions for content management and streaming control.
• Deliver a scalable, maintainable solution that can accommodate increasing user demand and future feature enhancements.

• Real-time video streaming from surgical cameras to authorized viewers.
• User login and role management with administrator and viewer functionalities.
• Admin controls for camera operation, including power toggling, camera angle adjustments, and light control.
• Generation and sharing of secure, time-limited access links with PIN codes for viewers.
• Device management dashboard for administrators to monitor camera status and perform configuration updates.
• Multi-platform accessibility through web browsers with responsive design.

• Live video streaming protocols and infrastructure for high-quality, low-latency video transmission.
• User authentication and authorization systems for secure access control.
• Device control interfaces for the surgical cameras, potentially via API or hardware control protocols.

• Scalability to support increasing number of simultaneous viewers without degradation of video quality.
• High-performance real-time streaming with latency less than 2 seconds.
• Robust security measures including data encryption, secure login, and access management.
• High availability and minimal downtime to ensure continuous live surgery broadcasts.

The implementation of this platform aims to significantly enhance remote surgical training capabilities, enabling healthcare educational institutions to expand access to live procedures irrespective of geographical barriers. Expected outcomes include improved training efficiency, broader reach for medical education, and increased scalability to support a growing number of users, ultimately contributing to the democratization of surgical knowledge and reduction of training costs.