Orthopaedic Surgical Planning With Postoperative Feedback Loops
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Solution Overview
Problem
Current surgical planning systems lack effective methods for pre-, intra-, and post-operative planning and execution of orthopedic procedures, particularly in arthroplasty, to improve surgical outcomes by accurately positioning implants and restoring joint functionality.
Innovation Solution
A surgical planning system that includes a host computer, client computers, imaging devices, and cloud-based storage, enabling pre-operative planning, intra-operative execution, and post-operative feedback loops to refine surgical plans, utilizing databases for patient outcomes and anatomical classifications, and incorporating machine learning for anatomical makeup analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgical planning systems use traditional pre-operative planning methods without post-operative feedback, then the planning process is simpler and faster, but the accuracy and effectiveness of implant positioning and surgical outcomes are reduced
Solution Approach 1:
The system implements post-operative feedback loops where actual surgical outcomes and patient data are collected after surgery and fed back into the surgical planning system. This feedback is used to refine and update the surgical plans for future procedures, continuously improving implant positioning accuracy and surgical outcomes through iterative learning from real-world results.
2Reliability
If surgical planning systems integrate post-operative feedback loops and comprehensive databases, then surgical outcomes and implant positioning accuracy are improved, but the system complexity and data management requirements increase
Solution Approach 1:
The surgical planning system is designed as a multi-functional platform that handles pre-operative planning, intra-operative guidance, and post-operative outcome tracking within a single integrated system. This universal system manages multiple functions including image processing, surgical plan creation, outcome data collection, and iterative refinement, reducing the need for separate specialized systems while improving overall reliability.
3Measurement precision
If surgical planning systems collect and analyze comprehensive post-operative patient outcome data, then the quality of surgical planning and implant selection is enhanced, but the time and resources required for data processing increase
Solution Approach 1:
The system performs preliminary processing and organization of post-operative data as it is collected, preparing it for future analysis. By pre-structuring and categorizing data during the collection phase rather than processing raw data from scratch during planning, the system reduces the time required for data processing while maintaining high surgical plan accuracy.
Data Source
AI summary
Improved surgical planning systems and methods are provided for planning orthopaedic procedures, including pre-operatively, intra-operatively, and/or post-operatively to create, edit, execute, and/or review surgical plans. The surgical planning systems and methods may be utilized for planning and implementing orthopaedic procedures to restore functionality to a joint. In some embodiments, an anatomical makeup classification may be assigned to an anatomy associated with postoperative patient outcome data, and a surgical outcomes database of the surgical planning system may be automatically updated based on the postoperative patient outcome data for the assigned anatomical makeup classification.