Delirium Assessment System Using EEG Neural Activity Data
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Solution Overview
Problem
Current methods for assessing delirium in patients are subjective and unreliable, often misdiagnosing symptoms that can lead to increased morbidity, longer hospital stays, and increased patient costs, as they fail to accurately identify the contributing factors and provide targeted interventions.
Innovation Solution
A system comprising a neural activity assessment module using EEG data, a delirium cause assessment module evaluating factors such as infection risk, pain, sleep quality, medication effects, and environmental conditions, and an intervention determination module to provide personalized interventions that address the root causes of delirium without causing other health issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If subjective assessment methods based on human observations and interviews are used, then the assessment process is simple to implement, but the accuracy and reliability of delirium diagnosis deteriorates
Solution Approach 1:
The patent replaces the mechanical system of human observation and interview with an automated computational system that processes neural activity data (EEG) and clinical data through algorithms to objectively assess delirium, thereby improving diagnostic accuracy while maintaining ease of implementation through automation
Solution Approach 2:
The patent introduces neural activity data and clinical data as intermediary elements between the patient and the diagnosis, using these data intermediaries to enable more accurate and objective assessment of delirium while reducing reliance on subjective human judgment
2Measurement precision
If prolonged subjective assessment is performed to improve diagnostic accuracy, then the diagnosis becomes more reliable, but the time required for assessment increases
Solution Approach 1:
The patent performs preliminary assessment of delirium risk by analyzing neural activity data and clinical data before full delirium develops, enabling early intervention and reducing the need for prolonged monitoring while maintaining high diagnostic accuracy through the use of objective biomarkers
3Reliability
If targeted interventions are provided based on accurate cause identification, then patient outcomes improve, but the complexity of the assessment system increases
Solution Approach 1:
The patent segments the assessment system into distinct modules: neural activity assessment module for EEG analysis, clinical data assessment module for risk factor evaluation, and intervention determination module for treatment planning. This segmentation allows each module to specialize in specific functions, improving overall reliability while managing complexity through modular design
Data Source
AI summary
There is provided a system (100) for assessing delirium in a subject. The system includes a neural activity assessment module (102) for assessing neural activity data associated with the subject. The system also includes a delirium cause assessment module (104) for assessing data relating to at least one factor of a plurality of factors which contribute to the cause of delirium. The system also includes an intervention determination module (106) for determining, based on the assessment performed by the delirium cause assessment module, at least one intervention for reducing the contribution made by the at least one factor. A computer-implemented method and an apparatus are also disclosed.