Surgical Article Count Verification Using Speech Discrepancy Detection
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Solution Overview
Problem
Current surgical sponge counting methods, including manual and electronically assisted techniques, are prone to human error and illegibility, necessitating improved integration into surgical procedure protocols to ensure accurate inventory management.
Innovation Solution
A computer-implemented method utilizing a surgical management system with a display device, user interface, microphones, and processors for receiving and converting audible speech into machine-encoded values to compare and identify discrepancies in surgical article counts, incorporating neural network training for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual counting methods are used, then the counting process is simple and requires no additional equipment, but it is prone to human error and illegibility
Solution Approach 1:
The patent replaces manual mechanical counting with an automated system that uses RFID readers to detect tags on surgical sponges, converting mechanical hand-counting into an electronic automated detection process that eliminates human error and improves reliability
Solution Approach 2:
The patent introduces RFID tags as intermediary elements attached to surgical sponges, which serve as mediators between the physical sponges and the counting system, enabling automatic detection and counting without direct human intervention
2Reliability
If electronic counting technology is integrated into surgical protocols, then counting accuracy is improved, but the complexity of the surgical management system increases
Solution Approach 1:
The surgical management system is designed to perform multiple functions including patient identification, surgical site marking, and sponge counting through a single integrated platform, reducing the need for separate systems and managing complexity through consolidation
Solution Approach 2:
The system provides real-time feedback by continuously monitoring RFID tags during the surgical procedure and automatically updating inventory counts, enabling immediate detection of discrepancies and improving accuracy through continuous verification
3Reliability
If verbal confirmation counts are implemented, then the reliability of surgical article counts is improved, but the time required for counting procedures increases
Solution Approach 1:
The system enables continuous counting throughout the surgical procedure by automatically detecting RFID tags as sponges are used, eliminating the need for discrete verbal confirmation counts at specific intervals and maintaining continuous inventory awareness
Solution Approach 2:
The surgical sponges themselves provide the counting information through their embedded RFID tags, which automatically communicate their presence and status to the management system without requiring active participation or verification from surgical staff
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of surgical sponge counting by automatically identifying and correcting discrepancies between electronic and verbal counts, reducing the risk of errors and ensuring precise inventory management during surgical procedures.
Implementation Method 1
converting, with the one or more processors, the confirming verbal count into machine-encoded values
Data Source
AI summary
A method of facilitating a surgical procedure includes receiving a first input including a first surgical article type and a first quantity of the first surgical article type for surgical articles that have been counted in to the procedure, displaying an electronic count including the first surgical article type and the first quantity of the first surgical article type, and receiving a subsequent input to alter the count. The method further includes capturing, with a microphone, speech including a verbal count for the surgical articles that have been counted in to the procedure, converting the verbal count into machine-encoded values including a second surgical article type and a second quantity, and comparing the electronic count to the machine-encoded values to identify a discrepancy. The method further includes displaying the identified discrepancy.


