Implant Planning Interface With Preference Range Warnings
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Solution Overview
Problem
Existing robotically-assisted surgical systems for joint replacement procedures lack effective mechanisms to incorporate surgeon preferences and provide real-time warnings for potential surgical plan deviations, leading to suboptimal implant placement and surgical outcomes.
Innovation Solution
A method and system that generates a graphical user interface with implant plan visualizations, allows for user-defined parameter adjustments, and provides real-time warnings and feedback to ensure that implant planning parameters fall within preferred ranges, enabling updates to the surgical plan and controlling the robotic system accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If robotically-assisted surgical systems are used for joint replacement procedures, then surgical precision and automation are improved, but planning flexibility and intra-operative adjustment capabilities are insufficient
Solution Approach 1:
The surgical planning system enables dynamic adjustment of implant parameters during the surgical procedure. The system allows real-time modification of implant size, position, and orientation based on intra-operative conditions, transforming a static preoperative plan into a flexible, adaptive planning process that can respond to surgical findings.
Solution Approach 2:
The system provides comprehensive parameter adjustment capabilities for implant planning, allowing modification of multiple parameters including implant dimensions, positioning angles, and spatial location. This enables the system to adapt to varying surgical requirements while maintaining precision through controlled parameter changes rather than rigid fixed plans.
2Productivity
If preoperative surgical plans are established without real-time feedback, then planning speed is improved, but accuracy and reliability of implant positioning are reduced
Solution Approach 1:
The system implements real-time feedback mechanisms that provide immediate information about implant plan deviations and potential issues during the surgical procedure. This feedback loop allows the surgical team to adjust the plan dynamically, ensuring positioning accuracy is maintained while the system continues to operate efficiently through automated guidance.
Solution Approach 2:
The system performs preliminary calculations and warnings before implant placement, identifying potential positioning issues in advance. This allows the surgical team to address problems before they affect the procedure, maintaining both speed and accuracy by preventing errors rather than correcting them after occurrence.
3Device complexity
If implant planning parameters are not customizable, then system simplicity is improved, but adaptability to individual surgeon preferences and patient needs is reduced
Solution Approach 1:
The system divides the complex implant planning parameters into manageable, organized categories and display sections. This segmentation allows the interface to present multiple customizable parameters in an structured manner that remains usable, breaking down the complexity into manageable components while maintaining full customization capability.
Solution Approach 2:
The system provides pre-configured parameter sets and default values that can be quickly applied, allowing surgeons to customize parameters without starting from scratch. This preliminary preparation maintains simplicity by providing ready-to-use templates while enabling adaptability through optional customization of individual parameters.
Data Source
AI summary
A method for controlling a robotic system to facilitate a joint arthroplasty procedure includes generating a graphical user interface comprising a visualization of an implant plan and an indication of a user-defined value for an implant planning parameter, and comparing the user-defined value for the implant planning parameter to the range. The method includes providing a marking at the indication of the user-defined value on the graphical user interface and receiving an update to the implant plan, wherein the update to the implant plan causes a change in the user-defined value. The method further includes determining that the change in the user-defined value moved the user-defined value to within the selected preferred range.