Surgical Instrument Sequence Planning from Similar Case Data
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Solution Overview
Problem
Determining the optimal surgical instruments, sequence, and manner of use to achieve the best patient outcome is difficult due to numerous patient-based, surgeon-based, and environmental factors, and evaluating surgical performance is equally challenging.
Innovation Solution
A system and method that utilize data from previous surgical procedures to identify correlations between surgical instrument information, patient information, and procedure information, facilitating the planning and evaluation of future surgical procedures by comparing and analyzing similar cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If surgical instruments are selected and used based on multiple factors (patient-based, surgeon-based, environmental), then the surgical procedure can be adapted to various conditions, but determining the optimal instrument sequence and manner of use becomes exceedingly difficult
Solution Approach 1:
The system creates a virtual copy of previous surgical procedures by storing and analyzing recorded data from prior surgeries. This virtual replica allows the system to study instrument sequences and methodologies without interfering with actual surgical operations, enabling pattern recognition and optimal sequence determination through data analysis of past successful procedures
Solution Approach 2:
The system implements feedback by analyzing outcomes from previous surgical procedures and using this information to inform future instrument selection and sequencing decisions. The recorded data from prior surgeries provides feedback loops that allow continuous improvement of surgical planning algorithms, helping determine optimal instrument sequences based on actual surgical outcomes
2Reliability
If numerous factors (patient-based, surgeon-based, environmental) are considered in surgical planning, then patient-specific optimization is achieved, but evaluating surgical performance becomes exceedingly difficult
Solution Approach 1:
The system extracts and isolates instrument-related data from the complex mix of surgical procedure data. By separating and focusing analysis on instrument information, activation patterns, and sequence data, the system can evaluate surgical performance related to instrument use without being overwhelmed by all other confounding factors such as surgeon characteristics or environmental conditions
Solution Approach 2:
The system introduces an intermediary data analysis layer that mediates between raw surgical data and performance evaluation. This intermediary processing layer filters, cleans, and analyzes the complex data from multiple factors, transforming it into actionable insights about instrument performance while controlling for other variables through statistical analysis
3Loss of information
If data from previous surgical procedures is stored and analyzed to identify correlations, then informed decision-making is facilitated, but the system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary data processing and correlation identification during the planning phase before the actual surgery occurs. By pre-analyzing historical data and pre-determining instrument-outcome correlations, the system reduces the computational burden during real-time surgical decision-making, allowing quick reference to pre-processed information without requiring complex real-time calculations
Data Source
AI summary
A system facilitating planning of a surgical procedure includes one or more storage devices, one or more input devices, a processor, and a memory. The storage device(s) stores, for previous surgical procedures, surgical instrument information, procedure information, and patient information. The input device(s) is configured to receive procedure information and patient information corresponding to a surgical procedure to be performed. The memory stores instructions that, when executed by the processor, cause the processor to identify similar previous surgical procedures, identify outcome information for each of the similar previous surgical procedures, determine whether there is a correlation between the surgical instrument information of the similar previous surgical procedures and the outcome information of the similar previous surgical procedures, and, if a correlation is determined, output the correlation to facilitate planning of the surgical procedure to be performed.


