Injection Training System Sensor-Based Performance Detection
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Solution Overview
Problem
Current injection training methods lack standardization and effectiveness due to varying qualifications and training requirements for injectors, leading to inconsistent expertise and increased risks for patients, with limited live models and restricted training scenarios, resulting in suboptimal patient outcomes and potential irreversible damage.
Innovation Solution
An injection training system that utilizes sensor-based measurements to collect and process data on syringe position, orientation, and pressure, providing real-time and replay graphical depictions of injections, allowing for improved visibility and analysis of injection techniques, and enabling aggregation of data for trend analysis across multiple trainees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional classroom-based injection training is used, then training can be provided to injectors, but the training lacks standardization and uniformity due to varying qualifications and training requirements
Solution Approach 1:
The patent uses a synthetic training apparatus that replicates the anatomical structure and injection experience of real human tissue. The synthetic tissue mimics the physical properties, layers, and response characteristics of actual human anatomy, allowing trainees to practice on a realistic copy without the risks associated with live patients. This resolves the contradiction by providing standardized, repeatable training scenarios that maintain consistency across all trainees while eliminating the variability introduced by different instructors and live model availability.
Solution Approach 2:
The training system incorporates sensors that measure multiple parameters of injection technique including needle insertion angle, depth, speed, and force applied. These physical parameters are objectively captured and evaluated against standardized criteria, replacing subjective instructor assessment with quantifiable metrics. This enables consistent evaluation of training performance across all trainees while maintaining the ability to adjust training difficulty and scenarios.
2Ease of operation
If live models are used for hands-on training, then practical injection experience can be gained, but the availability of models is limited and training scenarios are restricted
Solution Approach 1:
The synthetic training apparatus is designed to serve multiple training functions within a single device. It can simulate various anatomical locations, tissue types, and injection scenarios that would otherwise require multiple different live models or training setups. The apparatus can be reconfigured to represent different anatomical structures and pathological conditions, providing versatile training opportunities without the logistical constraints of arranging live model availability.
Solution Approach 2:
The patent creates a synthetic replica of human tissue that can be used repeatedly for hands-on practice. This copy eliminates the scarcity of live models while maintaining the tactile and procedural learning experience. Trainees can perform unlimited practice sessions on the synthetic model, gaining muscle memory and confidence before working with actual patients, thereby improving ease of operation without sacrificing training quality.
3Loss of information
If instructor-based evaluation of injection technique is used, then feedback can be provided to trainees, but the evaluation is subjective and lacks objective measurement
Solution Approach 1:
The training system incorporates sensors that provide real-time feedback to trainees about their injection technique. The sensors measure objective parameters such as needle insertion angle, depth, speed, and force, and immediately communicate this information back to the trainee through visual or auditory signals. This continuous feedback loop allows trainees to self-correct their technique during practice, improving learning efficiency and reducing reliance on subjective instructor evaluation while maintaining manageable system complexity through automated measurement.
Data Source
AI summary
Various systems and methods are provided for injection training by collecting, processing, analyzing and displaying measured information associated with the delivery of an injection. Sensor-based measurements of a syringe's position and orientation in three-dimensional space are obtained and processed to provide metrics of a trainee's injection performance. The measurements can be combined with a digital model of a training apparatus to deliver a computer-generated, graphical depiction of the training injection, enabling visualization of the injection from perspectives unavailable in the physical world. The training injection execution, as reflected in the measured sensor-based data, can be reviewed and analyzed at times after, and in locations different than, the time and location of the training injection. Additionally, injection training data associated with multiple training injections can be aggregated and analyzed for, among other things, trends in performance.