Surgical Hub Control for Real-Time Instrument Analytics
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Solution Overview
Problem
Current surgical systems lack integrated solutions for real-time data processing, instrument control, and cloud-based analytics, which limits their ability to provide situational awareness and optimize surgical procedures.
Innovation Solution
A computer-implemented interactive surgical system that includes a surgical hub connected to a cloud-based network, enabling real-time data processing, instrument control, and analytics to enhance surgical efficiency and safety through modular communication hubs, encryption algorithms, and data prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data processing and cloud-based analytics are implemented, then surgical precision and situational awareness are improved, but device complexity and data transmission requirements increase
Solution Approach 1:
A surgical hub acts as an intermediary device that centralizes data processing and cloud connectivity functions. The hub receives data from multiple surgical instruments, processes it locally, and manages cloud communication, thereby improving surgical precision through real-time analytics while containing device complexity within a dedicated central unit rather than distributing it across all instruments.
Solution Approach 2:
The surgical system is segmented into modular components: surgical instruments generate and transmit data, the surgical hub processes data and manages cloud connectivity, and cloud-based analytics provide insights. This segmentation allows real-time data processing to improve surgical precision while distributing complexity across specialized modules rather than requiring every component to be complex.
2Loss of information
If multiple surgical instruments are connected to the hub, then situational awareness and coordination are improved, but communication overhead and system complexity increase
Solution Approach 1:
Multiple surgical instruments communicate their data to a single surgical hub, which consolidates and processes all information in one location. This merging approach improves situational awareness by centralizing data from all instruments while reducing communication overhead compared to requiring direct peer-to-peer communication between all instrument pairs.
Solution Approach 2:
The surgical hub implements feedback mechanisms that monitor communication patterns and data flows between instruments. By actively managing and regulating communications based on current system state, the hub optimizes information exchange to maintain comprehensive situational awareness while minimizing unnecessary communication overhead.
Data Source
AI summary
A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed.