Insufflator Auto-Preadjustment Using Patient and Procedure Data
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Solution Overview
Problem
Existing medical devices, particularly insufflators, lack the capability to automatically preadjust treatment parameters based on patient-specific and procedure-specific data, leading to inefficiencies and potential mismatches in equipment settings.
Innovation Solution
A medical system that integrates interfaces for reading patient and procedure information, memory units for data storage, and a computing unit to determine and adjust insufflator parameters, ensuring compatibility and safety through automated parameter setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual parameter adjustment is used for insufflator setup, then device complexity is reduced, but productivity decreases due to time-consuming setup procedures
Solution Approach 1:
The system performs preliminary actions by automatically retrieving patient data from the HIS before the insufflator is even activated. Patient information, procedure details, and pre-calculated operating parameters are fetched and stored in memory units in advance, eliminating the need for manual setup during the surgical procedure.
Solution Approach 2:
The insufflator system serves itself by automatically adjusting its operating parameters based on patient data without requiring manual intervention. The computing unit processes patient information and autonomously determines optimal settings for flow rate, pressure limits, and volume targets, making the device self-configuring.
2Productivity
If automated parameter preadjustment is implemented, then productivity increases through faster setup, but device complexity increases due to additional interfaces and computing units
Solution Approach 1:
The insufflator is designed with multi-functionality by integrating multiple interfaces (HIS interface, image recognition system) and capabilities (data retrieval, automatic parameter calculation, display) into a single device. This universal design allows the insufflator to perform both traditional insufflation functions and automated parameter preadjustment functions.
Solution Approach 2:
Memory units serve as intermediaries between the HIS interface and the insufflator's control system. Patient data and operating parameters are stored in memory units that act as buffers, allowing the computing unit to process information at its own pace without real-time connection to the HIS, thus simplifying the overall system architecture.
3Reliability
If standard parameter settings are used for all patients, then device complexity is minimized, but reliability decreases due to patient-specific mismatches
Solution Approach 1:
The system applies local quality by tailoring operating parameters to each individual patient's characteristics. Instead of using uniform settings for all patients, the computing unit calculates specific parameters based on patient-specific data such as age, weight, height, BMI, and procedure type, ensuring optimal and safe settings for each case.
Solution Approach 2:
The system dynamically changes operating parameters based on patient data. The computing unit adjusts flow rate, pressure limits, and volume targets according to patient-specific factors retrieved from the HIS, transforming static standard parameters into dynamic patient-adapted parameters that improve safety and effectiveness.
4Loss of time
If manual data entry is required for patient information, then device complexity is reduced, but loss of time increases during setup
Solution Approach 1:
The manual mechanical process of data entry is replaced with automated electronic data retrieval. The HIS interface automatically queries and retrieves patient information from the hospital's database system, eliminating the need for operators to manually type or input patient data, thus saving significant setup time.
Solution Approach 2:
Patient data is copied from the HIS database to the insufflator's memory units rather than being re-entered. The system creates a digital copy of relevant patient information including demographics, procedure details, and clinical parameters, allowing rapid transfer and processing without manual intervention.
Data Source
AI summary
The invention relates to a device for using individual data from networked medical devices for a simple and safe patient-specific equipment setting of an insufflator.