Surgical Control Loops for Automated Smart Device Adjustment
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Solution Overview
Problem
Current surgical procedures often rely on manual adjustments of smart devices, leading to increased workload for healthcare professionals, potential errors, and prolonged procedure times due to the need for repetitive monitoring and adjustments.
Innovation Solution
A surgical computing system that collects user inputs and data from surgical elements to determine optimized control loops, adjust output characteristics of smart devices, and achieve tactical domain targets, such as maintaining a patient's core body temperature, using machine learning models and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments of smart devices are used during surgical procedures, then healthcare professionals can directly control surgical parameters, but workload increases and procedure time is prolonged
Solution Approach 1:
The surgical system automatically adjusts smart device parameters based on real-time surgical data and pre-defined control loops, enabling the system to serve itself without requiring continuous manual intervention from healthcare professionals
Solution Approach 2:
The system implements closed-loop control by continuously monitoring surgical parameters and automatically adjusting smart device settings based on feedback from sensors and surgical progress, eliminating the need for repetitive manual monitoring and adjustment
2Reliability
If manual monitoring and adjustments are performed, then surgical parameters can be controlled, but healthcare professional workload increases
Solution Approach 1:
The system autonomously monitors surgical parameters and adjusts smart device settings without requiring healthcare professionals to manually track multiple parameters, thereby maintaining reliability while reducing operational complexity
Solution Approach 2:
The system replaces manual mechanical adjustment processes with automated electronic control algorithms that process surgical data and adjust smart device parameters through software-based control loops
3Manufacturing precision
If repetitive monitoring and adjustments are required, then surgical precision can be maintained, but procedure time increases
Solution Approach 1:
The system maintains surgical precision through automated closed-loop control that continuously monitors parameters and makes real-time adjustments without requiring repetitive manual intervention, thereby preserving accuracy while improving efficiency
Solution Approach 2:
The control loops operate continuously throughout the surgical procedure, maintaining optimal smart device settings without interruption or repetitive manual adjustment cycles, ensuring continuous precision while reducing overall procedure time
Data Source
AI summary
Systems, methods, and/or instrumentalities disclosed herein may collect user choices and/or resulting outcomes from surgeries to provide weighted suggestions for future decisions. A system may be configured to receive an user input indicating a selection of a procedure and/or a tactical domain target. The system may be configured to determine a tactical domain data for the procedure. The tactical domain data may include one or more relationships associated with a primary surgical element, a secondary surgical element, the parameter of the patient, and/or the tactical domain target. The system may be configured to generate a recommendation based on the tactical domain data. The recommendation may include an indication of an optimized control loop for the primary surgical element. The system may be configured to send the recommendation to the primary surgical element to adjust an output characteristic associated with the primary surgical element to achieve the tactical domain target.