Self-Administered Cognitive Assessment via Touchscreen
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Solution Overview
Problem
Current cognitive assessment methods are inefficient, costly, and lack the ability to provide reliable, self-administered, and cost-effective comparisons to a current, relevant, and statistically-meaningful sample of data, particularly due to the challenges of maintaining currency of normed performance metrics and the limitations of traditional paper and pencil or computerized tests.
Innovation Solution
A method and system utilizing portable touchscreen personal computing devices for self-administered cognitive assessments that automatically upload user performance metrics to a database, allowing for dynamic norming and creating a large sample size of varying demographics, thereby reducing costs and increasing data throughput and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional paper and pencil tests or computerized tests are used with individual administration by trained clinicians, then measurement precision and reliability are improved, but productivity and cost-effectiveness deteriorate
Solution Approach 1:
The patent implements self-administered cognitive assessments where individuals complete the tests independently on portable touchscreen devices without requiring trained clinician administration. The system automatically presents test items, records responses, and calculates scores, enabling individuals to assess their own cognitive function while maintaining measurement precision through standardized automated delivery.
Solution Approach 2:
The patent replaces the mechanical system of manual test administration and scoring by clinicians with an automated digital system. Portable touchscreen devices deliver test items and record responses electronically, while software automatically processes answers and generates cognitive function scores, eliminating the need for manual intervention in test delivery and scoring.
2Reliability
If traditional methods repeatedly identify and test new sample groups to maintain currency of normed performance metrics, then reliability of comparative data is improved, but loss of time and cost increase significantly
Solution Approach 1:
The patent implements continuous data collection where the system continuously receives and processes cognitive assessment data from individuals who self-administer tests on portable devices. This ongoing stream of data allows for continuous updating of normed performance metrics without requiring discrete, resource-intensive studies, maintaining currency of reference data through persistent automated collection and processing.
Solution Approach 2:
The patent introduces a centralized database and automated processing system as an intermediary between test-takers and normed performance metrics. This intermediary continuously receives data from distributed self-administered tests, automatically processes responses, and updates reference groups, eliminating the need for manual coordination of new sample groups while maintaining data reliability.
3Ease of operation
If self-administered tests are used to increase productivity and reduce costs, then ease of operation and cost-effectiveness are improved, but measurement precision and data quality deteriorate
Solution Approach 1:
The patent creates a universal testing platform that functions across multiple devices (portable touchscreen devices, computers, mobile phones) and delivers standardized cognitive assessments consistently regardless of the specific device used. This universal system maintains measurement precision by ensuring uniform test presentation and scoring while maximizing ease of operation through widespread device compatibility and self-administration.
Solution Approach 2:
The patent changes the parameters of test administration from requiring trained clinician presence to allowing self-administration on various portable devices. By modifying these operational parameters while maintaining standardized test content and automated scoring algorithms, the system achieves both improved ease of operation and preserved measurement precision through consistent automated delivery.
4Reliability
If large sample sizes with varying demographics are collected to improve statistical meaningfulness, then reliability of comparative assessments is improved, but device complexity and data management requirements increase
Solution Approach 1:
The patent employs a universal data collection system that operates across diverse portable touchscreen devices and automatically handles varied demographic data through standardized digital forms. This unified platform manages large, diverse sample sets efficiently by processing all data through consistent automated algorithms, reducing the complexity burden that would otherwise arise from managing heterogeneous data sources.
Solution Approach 2:
The patent introduces an automated database and processing system as an intermediary that receives, stores, and analyzes large volumes of demographic and cognitive assessment data. This intermediary automatically matches individuals to appropriate reference groups based on demographic characteristics and generates statistically meaningful comparisons, managing data complexity through systematic automated processing rather than manual coordination.
Data Source
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AI summary
Disclosed herein are systems and methods for assessing cognitive function. In an example embodiment, an assessment computer receives demographics data relating to an individual and provides a cognitive assessment test to a portable touchscreen personal computing device, for self-administration of the test by the individual. The portable touchscreen personal computing device generates cognitive assessment stimuli, receives responses to the stimuli from the individual via touchscreen activations, measures reaction times of the responses, and transmits the responses and reaction times to the assessment computer for storage in a database. The assessment computer receives cognitive assessment performance data relating to the individual, including the received responses and measured reaction times, and generates performance metrics including at least a cognitive baseline for the individual based at least on the first cognitive assessment performance data.