Surgical Data Stream Prioritization for Real-Time Instrument Control
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Solution Overview
Problem
Existing surgical systems lack efficient data processing and classification capabilities, particularly in real-time surgical environments, which hinders effective medical decision-making and instrument control.
Innovation Solution
A processor is configured to process multiple data streams, select primary and secondary data streams based on surgical interfaces, generate situational data, and control surgical instruments, while classifying and handling data streams according to classification parameters and healthcare policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple data streams are processed in real-time surgical environments, then medical decision-making efficiency is improved, but system complexity and data processing burden increase
Solution Approach 1:
The patent segments surgical data into hierarchical categories (primary, secondary, tertiary data streams) with different processing priorities. Primary data streams containing critical surgical parameters are processed in real-time, while secondary and tertiary streams are processed with lower priority or deferred, reducing the overall processing burden while maintaining decision-making efficiency.
Solution Approach 2:
The patent introduces an intermediary processing layer that filters, prioritizes, and routes surgical data streams before they reach the main processing system. This intermediary layer manages data flow complexity by applying classification rules and buffering mechanisms, allowing real-time processing of essential data without being overwhelmed by the full data volume.
2Loss of information
If all surgical data streams are processed and stored, then data completeness is improved, but processing time and storage requirements increase
Solution Approach 1:
The patent applies different processing qualities to different data streams based on their importance. Critical primary data streams receive immediate full processing and storage, while secondary streams receive processed summaries, and tertiary streams are stored in compressed or sampled forms. This local quality differentiation preserves essential information while reducing overall processing time and storage requirements.
3Speed
If real-time data processing is implemented with low latency, then surgical response time is improved, but data processing accuracy may be compromised
Solution Approach 1:
The patent performs preliminary processing actions on surgical data streams including pre-validation, pre-classification, and pre-prioritization before main processing occurs. Data structures are pre-configured and buffering mechanisms are pre-established, allowing rapid real-time processing without compromising accuracy because the foundational processing work is already completed.
4Productivity
If data classification and prioritization are implemented, then data handling efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements data classification by changing the parameter of data priority assignment rather than creating complex classification algorithms. Each data stream is assigned priority parameters (high, medium, low) based on predefined criteria, allowing efficient handling through parameter-based routing and processing queues without requiring complex real-time analysis systems.
Data Source
AI summary
A device to process data associated with a surgical event of a surgery may include a processor. The processor may be configured to receive multiple data streams during the surgical event. The processor may be configured to select a primary data stream based on a surgical data interface via which the primary data stream is received. The processor may be configured to select a secondary data stream based on a surgical data interface via which the second data stream is received. The processor may be configured to identify the surgical data interfaces. The processor may be configured to generate situational data associated with the primary data stream based on the secondary data stream. The situational data may indicate a medical decision-making factor of the surgical event. The primary data stream and the situational data may be sent during the surgical event.


