RFID-Identified Surgical Sponge Imaging for Blood Loss Quantification
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Solution Overview
Problem
Existing surgical sponge management systems face challenges in accurately quantifying blood loss and managing surgical sponges during procedures, particularly due to human error in visual estimation and the need for manual handling, which can lead to inefficiencies and potential retention of sponges in patients.
Innovation Solution
An image-based surgical sponge management system that automatically identifies and quantifies blood loss on surgical sponges of varying sizes and types using neural networks, ensuring accurate counting and blood loss estimation without altering the surgical workflow, and integrating RFID tags for sponge identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual evaluation of surgical sponges is used to estimate blood loss, then the process is simple and quick, but the estimation is subjective and prone to human error
Solution Approach 1:
The patent replaces the manual visual assessment mechanism with an automated image processing system. A camera captures images of surgical sponges, and software algorithms automatically analyze the images to quantify blood loss, eliminating subjective human judgment while maintaining rapid assessment capability
Solution Approach 2:
The system enables self-service blood loss quantification by automatically processing sponge images without requiring healthcare professionals to manually evaluate or input data. The automated analysis performs the measurement task independently, improving both speed and accuracy
2Measurement precision
If surgical sponges are weighed on a scale in bulk to estimate blood loss, then the measurement is more objective, but it requires transporting sponges to a separate scale
Solution Approach 1:
The patent introduces an image-based intermediary measurement approach. Instead of directly weighing sponges or visually estimating blood loss, the system captures images of sponges and uses image analysis as an intermediate step to quantify blood loss, eliminating the need for physical transport to weighing scales
Solution Approach 2:
The physical weighing mechanism is replaced with an optical imaging and digital analysis system. The camera-based approach substitutes mechanical scales with electronic image processing, maintaining measurement objectivity while improving workflow convenience
3Extent of automation
If image-based blood quantification systems are implemented, then blood loss can be quantified automatically, but the systems may not adequately compensate for differing types of surgical sponges
Solution Approach 1:
The patent applies local quality by customizing image analysis parameters and algorithms according to specific sponge types. The system identifies different sponge characteristics (size, texture, absorbency) and adjusts the blood quantification analysis accordingly, allowing automated processing to work effectively across diverse sponge varieties
Solution Approach 2:
The system dynamically adapts its analysis parameters based on the detected sponge type. Rather than using fixed thresholds, the image processing algorithms adjust their criteria in real-time according to the specific characteristics of each sponge, enabling versatile automated quantification
4Device complexity
If manual sorting and counting of surgical sponges is performed, then the system is simple, but it is time-consuming and prone to errors
Solution Approach 1:
The manual sorting and counting process is replaced with automated RFID reading and image recognition systems. RFID tags on sponges enable automatic identification and tracking, while image processing automates the counting function, dramatically reducing time requirements while maintaining system simplicity through automated workflows
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
The system provides real-time, accurate quantification of blood loss on surgical sponges, reduces human error, and maintains operational efficiency by automating the process, allowing seamless integration into existing surgical protocols.
Implementation Method 1
a radiofrequency identification (RFID) reader detects RFID tags on the surgical sponges
Implementation Method 2
quantifying blood loss by capturing an image of the surgical sponge
Data Source
AI summary
Systems and methods for quantifying blood loss with a surgical sponge management system. A data reader detects a tag of the surgical sponge, and one or more processors identify a sponge type of the surgical sponge based on a unique identifier. A presentation window is displayed on a user interface with dimensions of the presentation window based on the identified sponge type. The processor(s) determine whether characteristics of the surgical sponge satisfy acceptance criteria based on the identified type of the surgical sponge. The acceptance criteria may include sponge presence, folded sponge, partial sponge, presentation distance, correct sponge, moving sponge, mask validation, and sponge supervision. An optical sensor captures a color image of the surgical sponge once the characteristics satisfy the acceptance criteria. A volume of the blood or blood component on the surgical sponge is estimated based on the color image, and displayed on a user interface.