Automated Cognitive Condition Detection via Digital Cancellation Test
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Solution Overview
Problem
Current neuropsychological assessments for detecting neurodegenerative diseases like Alzheimer's and related dementias are time-consuming, expensive, not culturally neutral, and difficult to translate, making them inefficient for early identification, especially in young and healthy patients.
Innovation Solution
A computer-implemented method for automated detection using a digital cancellation test administered on a tablet or similar device, which provides displays of characters for users to select, analyzing user inputs for time-based parameters and motor responses to assess cognitive decline, including the Rowan Digital Cancellation Test (RDCT) with subtests on letters, symbols, and combined characters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional pen-and-paper neuropsychological tests are used, then diagnostic accuracy can be maintained, but the assessment becomes time-consuming and expensive to administer
Solution Approach 1:
The patent replaces the mechanical pen-and-paper testing system with a digital touchscreen interface system. The touchscreen display presents visual stimuli and receives patient responses electronically, eliminating the need for physical test materials and manual scoring while maintaining diagnostic accuracy through automated analysis of response patterns and timing.
Solution Approach 2:
The digital assessment system enables self-administration capabilities where patients can complete portions of the assessment independently on touchscreen devices. The system automatically presents test items, records responses with precise timing, and processes results without requiring continuous practitioner involvement, significantly reducing administration time while preserving measurement validity.
2Reliability
If traditional neuropsychological assessments are administered by trained practitioners, then diagnostic reliability is maintained, but the cost of administration increases
Solution Approach 1:
The patent substitutes the human practitioner's manual administration and scoring functions with an automated digital system. The touchscreen interface systematically presents standardized test items, automatically records responses with millisecond precision, and computes results using predetermined algorithms, thereby maintaining diagnostic reliability while eliminating costs associated with trained administrator time and training.
Solution Approach 2:
The system transforms the assessment from a human-mediated process to a parameter-driven automated process. By encoding diagnostic criteria into fixed temporal and response parameters within the digital system, the assessment maintains reliability through consistent parameter application across all patients while reducing administrative costs through automation.
3Measurement precision
If culturally specific test materials are used, then diagnostic validity for specific populations is improved, but the test becomes difficult to translate and culturally neutral
Solution Approach 1:
The patent employs parameter-based customization where the digital system can dynamically adjust test parameters such as stimulus presentation, response options, and scoring criteria based on selected cultural or linguistic parameters. This allows the same core assessment framework to be adapted to different populations by modifying digital parameters rather than requiring complete test redesign, maintaining both population validity and cultural adaptability.
Solution Approach 2:
The digital touchscreen platform serves as a universal delivery system that can present culturally and linguistically adapted test content through a single standardized interface. The system's multi-functionality allows it to accommodate various language versions, cultural adaptations, and population-specific parameters while maintaining consistent data collection and analysis procedures, thereby achieving both measurement precision and cultural versatility.
Data Source
AI summary
One aspect of the present disclosure provides for a computer-implemented method for automated detection of cognitive conditions as described herein (e.g., to detect emergent neurocognitive decline consistent with mild cognitive impairment (MCI) and Alzheimer's Disease and Related Dementias (ADRD)).