Physiological Data Processing for Objective Anesthesia Skill Evaluation
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Solution Overview
Problem
Existing anesthesia management systems lack mechanisms for objectively evaluating the skillfulness of anesthesia administration, whether manual or automated, as they rely heavily on subjective anesthetist experience and do not provide digitalization or visualization of management quality.
Innovation Solution
A physiological information processing apparatus and method that acquires physiological data to specify appropriate and inappropriate management times, calculates anesthesia management evaluation indices based on these times, and outputs them for objective digitalization and visualization of anesthesia management skillfulness, incorporating electroencephalogram, pain reaction, and stimulus-response data to assess sedative, analgesic, and muscle relaxation management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual anesthesia management is performed by an anesthetist based on experience, then flexibility and adaptability are improved, but objective evaluation capability deteriorates
Solution Approach 1:
The system introduces feedback by automatically monitoring physiological parameters (BIS value, heart rate, blood pressure) and comparing them against target ranges to generate objective evaluation results. This feedback loop enables quantitative assessment of anesthesia management quality without compromising the anesthetist's ability to make real-time decisions based on clinical judgment.
2Measurement precision
If automated anesthesia management system is used, then evaluation objectivity is improved, but system complexity increases
Solution Approach 1:
The evaluation system is designed to be universal and multi-functional, capable of assessing different types of anesthesia management (manual and automated) using the same objective criteria. The system integrates multiple monitoring functions (BIS, heart rate, blood pressure) into a single evaluation framework, reducing overall system complexity while maintaining comprehensive assessment capability.
Solution Approach 2:
The system introduces an intermediary evaluation module that acts as a mediator between the anesthesia delivery system and the anesthetist. This intermediary automatically processes physiological data and provides objective evaluation feedback, simplifying the overall system architecture by centralizing the evaluation function rather than requiring complex integration across multiple subsystems.
3Reliability
If multiple physiological parameters are monitored simultaneously, then evaluation comprehensiveness is improved, but information processing load increases
Solution Approach 1:
The system extracts and focuses on the most critical physiological parameters (BIS value for sedative management, heart rate and blood pressure for analgesic management) rather than processing all available physiological data. This selective extraction approach maintains evaluation comprehensiveness by targeting key indicators while significantly reducing information processing load and avoiding data overload.
Data Source
AI summary
A physiological information processing apparatus includes a processor and a memory configured to store a computer readable command. The computer readable command is executed by the processor, the physiological information processing apparatus is configured to acquire physiological information data of a subject to which an anesthetic is administered, specify, based on the physiological information data, at least one of an appropriate management time, which is a time during which anesthesia management is appropriately performed on the subject, and an inappropriate management time, which is a time during which the anesthesia management is not appropriately performed, calculate an anesthesia management evaluation index, which is an evaluation index for the anesthesia management, based on the at least one of the inappropriate management time and the appropriate management time and an operation time of the subject, and output the calculated anesthesia management evaluation index.