Orthopedic Implant Selection System for Surgical Instrument Management
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Solution Overview
Problem
The complexity of artificial joint implantation procedures requires a streamlined system for selecting and managing orthopedic implant components and instruments, often necessitating manufacturer assistance due to the numerous components and instruments involved, which can lead to errors and inefficiencies in surgery preparation and inventory management.
Innovation Solution
A computer-based system that selects and organizes a subset of implant components and instruments based on patient-specific data, using a data structure to store implant components, instruments, and surgical techniques, and includes sensors for tracking and managing inventory, ensuring accurate and efficient deployment during surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a complex set of implant components and instruments is provided to accommodate individual patient needs, then the adaptability and versatility of the system is improved, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The system segments the complex implant system into modular components, each with specific functions. Implant components are divided into distinct modules (e.g., femoral components, tibial components, patellar components) that can be independently selected and combined based on patient needs, thereby maintaining versatility while reducing overall system complexity through organized modularity.
Solution Approach 2:
The system employs universal interface standards and compatible component families that allow a standardized set of instruments and tools to work across multiple implant types and sizes. This multi-functionality approach enables surgeons to use the same surgical instruments for different implant configurations, reducing the total number of unique components needed while maintaining adaptability to individual patient requirements.
2Adaptability or versatility
If a comprehensive set of implant components and instruments is provided, then the adaptability is improved, but the ease of operation and likelihood of error deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-planning and pre-selecting the specific implant components and instruments needed for each patient based on preoperative imaging and surgical planning. The system generates a customized instrument tray and implant kit before surgery, ensuring that only the necessary components are prepared and organized in the correct sequence, thereby simplifying the surgical workflow while maintaining adaptability to individual patient anatomy.
Solution Approach 2:
The system introduces an intermediary digital planning and selection platform that acts as a mediator between patient anatomy data and physical implant components. This intermediary system processes patient-specific measurements, recommends appropriate implant sizes and configurations, and generates standardized ordering protocols, thereby simplifying the selection process for surgeons while maintaining comprehensive adaptability to individual patient needs.
3Reliability
If manufacturer representatives assist in selecting and preparing components, then the reliability of component selection is improved, but the extent of automation and surgical efficiency deteriorate
Solution Approach 1:
The system enables self-service by providing surgeons and surgical teams with autonomous digital tools for implant selection, sizing, and instrument preparation. The system automatically processes patient data, generates component recommendations, and creates customized instrument trays without requiring external manufacturer assistance, thereby maintaining reliable selection through evidence-based algorithms while achieving full automation and improving surgical efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously learn from surgical outcomes and component performance data. By analyzing real-world usage patterns, complication rates, and surgeon preferences, the system refines its selection algorithms to improve reliability over time, replacing the need for manual manufacturer expertise with an increasingly accurate and adaptive automated decision-support system.
4Device complexity
If the number of components and instruments is reduced, then the device complexity is improved, but the adaptability to individual patient needs deteriorates
Solution Approach 1:
The system utilizes parameter changes by allowing dynamic adjustment of implant specifications based on patient-specific measurements and surgical requirements. The digital platform enables real-time modification of component parameters (e.g., size, curvature, fixation method) within standardized families of implants, thereby maintaining comprehensive adaptability while working within a reduced and standardized set of base components that lowers overall system complexity.
Data Source
AI summary
A method of selecting an instrument set for an orthopedic implant procedure. The method utilizes a computer programmed with a data structure configured to store (i) a set of implant components and implant instruments; and (ii) a set of surgical instruments utilized in performing the procedure. The method selects a sub-set of implant components and implant instruments based upon a determination of component types and then selects a sub-set of surgical instruments based upon a determination of surgical techniques. The method arranges the sub-set of surgical instruments and implant instruments into a substantially specific order based upon a determination of a sequence of bone cuts to be performed in the procedure.