Extracorporeal Blood Treatment System Automated Parameter Adaptation
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Solution Overview
Problem
Current extracorporeal blood treatment systems require manual calculation and recording of patient-specific parameters, which is time-consuming and prone to errors, hindering individualized and optimized treatment.
Innovation Solution
An automated extracorporeal blood treatment system that reads and processes stored patient-specific prescription parameters using a predetermined algorithm to determine current values, allowing for continuous tracking and adaptation of treatment settings, reducing the need for manual data collection and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calculation and recording of patient-specific parameters is used, then treatment personalization is achieved, but time consumption and error risk increase
Solution Approach 1:
The system automatically reads stored values from previous treatments and processes them through predetermined algorithms without requiring manual intervention. The machine performs self-calibration and self-adjustment of treatment parameters based on stored patient data, eliminating the need for manual calculation and recording while maintaining precision.
Solution Approach 2:
The patent replaces the manual mechanical process of reading, calculating, and recording parameters with an automated electronic system. The control unit electronically retrieves stored values, processes them through algorithms, and automatically updates treatment settings, substituting human manual operations with automated computational processes.
2Adaptability or versatility
If manual data processing is used, then treatment customization is possible, but error risk increases
Solution Approach 1:
The system implements a feedback mechanism where the control unit continuously reads stored parameter values from previous treatments, processes them through predetermined algorithms, and automatically adjusts current treatment settings. This closed-loop feedback system ensures accurate and reliable parameter determination while maintaining treatment customization, as the algorithm systematically processes historical data to optimize current therapy.
Solution Approach 2:
The machine performs self-verification and self-correction of treatment parameters by automatically processing stored data through validated algorithms. This eliminates human calculation errors and ensures reliable parameter values while maintaining the ability to customize treatment based on individual patient responses across multiple sessions.
3Productivity
If automated processing is implemented, then efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically reading and storing parameter values from previous treatments in a database. This pre-processing of data eliminates the need for manual data collection during each treatment session, significantly improving efficiency. The automation complexity is minimized by using straightforward read-store-retrieve-process operations rather than complex real-time calculations.
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 ensures more precise and individualized treatment by automatically calculating and updating patient-specific parameters, enhancing treatment safety and efficiency by minimizing human error and optimizing therapy based on continuous patient monitoring.
Implementation Method 1
a semipermeable membrane that selectively allows matter in the blood to cross the membrane from the primary chamber into a secondary chamber and also selectively allows matter in the secondary chamber to cross the membrane into the blood
Implementation Method 2
a semipermeable membrane that selectively allows matter in the blood to cross the membrane from the primary chamber into a secondary chamber
Implementation Method 3
The control unit is configured to operate at least one pump to cause blood to flow through the blood treatment device and the extracorporeal blood circuit
Data Source
AI summary
A method of operating an extracorporeal blood treatment includes, prior to commencing an extracorporeal blood treatment, reading from a storage device (4a, 5a) stored values of a patient-specific prescription parameter. These stored values relate to a sequence of previous extracorporeal blood treatments. In addition, the method includes processing the stored values of the parameter read from the storage device (4a, 5a) according to a predetermined algorithm to determine a current value of the patient-specific prescription parameter. The current value is then available for the subsequent extracorporeal blood treatment.

