Real-Time Surgical Guidance Through Procedural State Mapping
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Solution Overview
Problem
Existing surgical procedures lack standardized procedural methods, leading to variations in outcomes and inconsistencies among surgeons, with some achieving below-average results.
Innovation Solution
A surgical data structure with nodes and edges representing procedural states and actions, processed using live surgical data to provide real-time guidance and metadata, integrated with wearable devices and operating room systems to enhance procedural consistency and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time surgical guidance system is implemented, then procedural consistency is improved, but device complexity increases
Solution Approach 1:
The surgical guidance system is segmented into distinct functional modules: a surgical data structure module that stores procedural information, a live data processing module that captures and analyzes surgical data, a node identification module that determines current procedural state, and a guidance provision module that delivers recommendations. This modular segmentation allows each component to be optimized independently while maintaining overall system reliability and procedural consistency.
Solution Approach 2:
The patent introduces a surgical data structure as an intermediary layer between raw surgical data and guidance decisions. This data structure acts as a mediator that standardizes and structures procedural information, enabling consistent interpretation and guidance generation without requiring complex direct processing of raw surgical data, thus improving reliability while managing system complexity.
2Measurement precision
If real-time data processing is performed, then guidance accuracy is improved, but processing time increases
Solution Approach 1:
The surgical data structure is prepared and populated with procedural information before the surgical procedure begins. This preliminary action allows the system to have pre-structured guidance data ready, enabling rapid matching and identification of current procedural states during surgery without requiring complex real-time analysis, thus maintaining high guidance accuracy while minimizing processing time.
Solution Approach 2:
The system transforms raw surgical data into standardized parameters that match the surgical data structure format. By changing the parameters of raw data into structured formats pre-defined in the surgical data structure, the system enables efficient comparison and identification of procedural states, improving guidance accuracy while reducing processing time through standardized parameter matching.
Data Source
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AI summary
Certain aspects and features of the present disclosure relate to systems and methods for accessing a surgical data structure that that includes a plurality of nodes, each associated with a procedural state, connected by a plurality of edges. The surgical data structure is used to determine a current node associated with a discrete procedural state and present relevant procedural metadata associated with the procedural state to the relevant system user. The current node is determined by receiving live surgical data, detecting a component from the live surgical data using feature extraction techniques, and identifying a current node based on the component extracted from the live surgical data. In some examples, the systems and methods retrieve a set of procedural metadata associated with the current node from the surgical data structure and transmit the set of procedural metadata to the appropriate user.