Surgical Data Stream Selection for Conflicting Measurements
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Solution Overview
Problem
Existing surgical monitoring systems face challenges in efficiently integrating and comparing multiple data streams from different surgical devices, leading to potential discrepancies and inaccuracies in patient monitoring and surgical control.
Innovation Solution
A surgical system that includes a processor to obtain and compare multiple data streams associated with the same measurement, determining control parameters based on each stream, and selecting the most accurate or risk-reduced data stream to generate control signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple data streams from different surgical devices are integrated and compared, then the accuracy and reliability of patient monitoring is improved, but the system complexity and difficulty of integrating disparate data sources increases
Solution Approach 1:
The patent employs a centralized processing system that acts as an intermediary between multiple surgical devices and the monitoring system. This mediator receives, standardizes, and compares data streams from various sources (anesthesia machines, surgical robots, imaging systems), resolving integration complexity while maintaining high reliability through systematic data validation and cross-verification protocols
2Manufacturing precision
If multiple data streams are compared to determine control parameters, then the precision of surgical control is improved, but the time required for data processing and decision-making increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing comparison algorithms and control parameter thresholds before surgical procedures begin. Data streams are continuously pre-processed and validated in real-time, with control parameter comparisons executed using pre-configured criteria, enabling rapid decision-making without sacrificing precision during critical surgical moments
3Reliability
If traditional surgical monitoring practices are maintained, then patient safety through established protocols is preserved, but the ability to implement newer improved technologies is reduced
Solution Approach 1:
The monitoring system is designed with universal compatibility to interface with both traditional surgical devices and emerging technologies (robotic systems, AI-driven analytics, advanced imaging). It maintains established safety protocols while incorporating new data sources and analysis methods, allowing the system to adapt to technological advancements without compromising patient safety through proven practices
Data Source
AI summary
A surgical system may include a processor configured to make a determination between two seemingly accurate but conflicting data streams. The processor may be further configured to obtain a first data stream and a second data stream associated with a same measurement. The processor may be further configured to determine a first control parameter based at least in part on the first data stream. The processor may be further configured to determine a second control parameter based at least in part on a second data stream. The processor may be further configured to compare the first control parameter and the second parameter. The processor may be further configured to select a data stream between the first data stream and the second data stream based on the comparing. The processor may be further configured to generate a control signal based on the selected data stream.