Surgical Video Analysis for Evidence Report Generation
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Solution Overview
Problem
Surgeons face challenges in efficiently documenting surgical procedures, leading to discrepancies between preoperative diagnostics and intraoperative findings, which complicates reimbursement processes and requires lengthy evidence justification to insurers.
Innovation Solution
A system utilizing neural networks to analyze surgical videos, identify surgical tools, patient anatomy, and pathologies to generate an initial surgical report, which can be reviewed and modified by surgeons to create a billing report.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgeons manually document surgical procedures after the surgery, then they can describe the complexity of surgical procedures, but it takes a considerable amount of time and leads to discrepancies between preoperative diagnostics and intraoperative findings
Solution Approach 1:
The patent replaces manual mechanical documentation processes with an automated computer vision system. The system uses cameras to capture surgical procedures and neural networks to automatically analyze video footage, generating structured surgical reports without requiring surgeons to manually document every detail after the procedure.
Solution Approach 2:
The system enables self-service documentation where the surgical procedure itself serves as the data source. The automated system processes surgical videos and generates reports independently, allowing the documentation process to serve itself rather than requiring surgeon intervention for each documentation task.
2Reliability
If surgeons proceed with procedures when preauthorization differs from intraoperative findings, then patient care needs are met, but insurers flag discrepancies and demand evidence justification which takes several weeks
Solution Approach 1:
The system performs preliminary documentation and evidence generation during or immediately after the surgical procedure. By automatically capturing and analyzing surgical videos in real-time, the system prepares comprehensive evidence packages before insurer disputes arise, eliminating the need for lengthy post-dispute evidence gathering.
Solution Approach 2:
The system provides immediate feedback by generating and reviewing surgical reports shortly after procedures. This timely feedback loop allows surgeons to verify accuracy and prepare evidence while memories are fresh, enabling rapid response to insurer inquiries rather than waiting weeks for dispute resolution.
3Loss of information
If the practice furnishes evidence based on operative notes, then medical necessity can be justified, but the process becomes complicated and time-consuming
Solution Approach 1:
The patent replaces the complex manual process of compiling evidence from operative notes with an automated computer vision system. The system automatically extracts procedural information from surgical videos, generates structured reports, and creates evidence packages without requiring manual compilation and verification by practice staff.
Data Source
AI summary
A system and method are disclosed for generating a surgery evidence report and/or a billing report that may be used to provide verification and evidence of one or more performed surgical procedures. The systems and methods may receive a surgical video and apply one or more neural networks to identify and detect elements or activities within the surgical video to support (provide evidence) the performance of surgical procedures.