Surgical Dataflow Balancing for Erroneous Sensor Compensation
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Solution Overview
Problem
Surgical procedures are often disrupted due to erroneous data from smart devices, which can be caused by sensor malfunctions or other issues, leading to potential patient safety risks and procedural interruptions.
Innovation Solution
A surgical computing system that utilizes sensor data from a second smart device to generate control data for a first smart device, allowing the system to detect and mitigate erroneous data flows without interrupting the procedure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from smart devices is used during surgical procedures, then measurement precision is improved, but reliability deteriorates due to erroneous data from sensor malfunctions
Solution Approach 1:
The patent combines data from multiple smart devices (first smart device and second smart device) to compensate for erroneous data. The surgical computing system receives sensor data from both devices and uses data fusion techniques to maintain reliable measurements even when one device produces erroneous data.
Solution Approach 2:
The system implements feedback mechanisms where the surgical computing system continuously monitors data quality from smart devices, detects erroneous data flows, and dynamically adjusts by incorporating data from alternative sources. The system provides feedback to determine when to switch between data sources based on reliability assessment.
2Reliability
If multiple smart devices are deployed to ensure data reliability, then reliability is improved, but device complexity increases
Solution Approach 1:
The surgical computing system is designed with multi-functionality to handle multiple data sources, process various types of sensor data, and automatically switch between different smart devices based on their operational status. This universal design allows the system to manage complexity through standardized interfaces and protocols.
Solution Approach 2:
The system implements self-service capabilities where the surgical computing system automatically detects erroneous data flows, identifies alternative data sources, and switches between devices without requiring manual intervention. This automation reduces the operational complexity burden on surgical staff.
3Reliability
If erroneous data is detected and procedures are paused to replace devices, then reliability is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple smart devices and establishing data flow paths before erroneous data occurs. When a device fails, the system has already have alternative data sources ready to activate, eliminating the need for procedural pauses and device replacement during surgery.
Solution Approach 2:
The patent ensures continuous operation of surgical procedures by maintaining data flow from alternative smart devices when primary devices fail. The surgical computing system seamlessly transitions between data sources, ensuring uninterrupted monitoring and control throughout the surgical procedure without pausing or cancelling the surgery.
Data Source
AI summary
Systems, methods, and/or instrumentalities disclosed herein may determine a problem-solving level based on the balance of unknowns and data streams. The device may receive a first dataflow from a first surgical element. The device may determine that a physiological parameter of the patient exceeds a patient safety threshold. The device may determine a second dataflow associated with a second surgical element. The determination may be based on an indication of a relational link. The device may transmit a configuration message including an indication that the physiological parameter of the patient exceeded the patient safety threshold. The device may transmit, to the second surgical element, a control message including an indication of the control data associated with the first surgical element. The device may cause the output characteristic associated with the second surgical element to be adjusted based on the control data associated with the first surgical element.