Cloud Surgical Video Architecture for Secure EHR Integration
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Solution Overview
Problem
The widespread adoption of intraoperative video in modern medicine has been hampered by legal concerns related to healthcare provider liability and patient privacy, limiting the use of surgical video for evaluating and improving surgeon performance.
Innovation Solution
A scalable compute infrastructure, referred to as Cloudcapture, that securely networks surgical video sources, enables automatic recording, storage, management, and distribution of surgical videos, integrating them with Electronic Health Records and allowing designated users to access them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intraoperative video recording is implemented, then surgical video analysis and surgeon performance evaluation can be improved, but legal concerns related to healthcare provider liability and patient privacy worsen
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the surgical video recording and direct access by healthcare providers. The system automatically records videos during surgery, processes them through AI analysis, and stores them securely in the cloud, eliminating the need for providers to directly handle or access raw surgical footage while still enabling performance evaluation through automated analysis
Solution Approach 2:
The system implements self-service by automatically recording surgical videos and performing AI-based analysis without requiring active participation or manual operation by healthcare providers during surgery. The automated recording and analysis processes eliminate human involvement in potentially liability-generating activities while maintaining the ability to evaluate surgeon performance
2Loss of information
If surgical video is collected and stored at enterprise scale, then video analysis capabilities are improved, but infrastructure complexity and security requirements worsen
Solution Approach 1:
The patent implements a universal cloud-based infrastructure that serves multiple functions: secure video storage, automated AI analysis, EHR integration, and controlled distribution. This multi-functional system eliminates the need for separate systems for each function, reducing overall complexity while enabling comprehensive surgical video utilization across the enterprise
Solution Approach 2:
The cloud-based platform acts as an intermediary layer between surgical video sources and various users or systems needing access. This centralized mediator handles all security, storage, and distribution operations, simplifying the infrastructure architecture while maintaining secure controlled access for authorized users
3Productivity
If automated video recording and cloud storage are implemented, then surgical video management efficiency is improved, but integration complexity with existing hospital systems worsens
Solution Approach 1:
The system uses the existing surgical video feeds and EHR systems as intermediaries, integrating seamlessly with already-present infrastructure. The cloud platform connects to video sources during surgery and links to EHR through standard interfaces, leveraging existing systems rather than requiring complete new infrastructure deployment
Data Source
AI summary
The present invention is a foundational video architecture and a framework for collecting surgical video at an enterprise scale. It enables hospitals to ingest, manage, and fully utilize patient surgical video within the hospital and to share video with designated users outside of the hospital. It is a passive solution that automatically records video during surgery and provides key clips post-surgery. It stores video to the cloud and integrates videos to the patient's Electronic Health Record (EHR).