Computerized Cognitive Screening via Self-Service Algorithmic Analysis

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Solution Overview

Problem

Current cognitive assessments are limited by patient access and predictive power, as they primarily rely on clinical settings and lack integration of comprehensive cognitive neuropsychological data, restricting their ability to provide accurate and accessible cognitive impairment screenings.

Innovation Solution

A computerized system and process for cognitive screening that allows patients to administer assessments on devices like tablets or smartphones, integrating cognitive neuropsychological research, which includes history questionnaires, depression screens, verbal and nonverbal memory modules, and predictive algorithms to determine cognitive impairment probabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cognitive assessments are administered in clinical settings with clinician oversight, then measurement precision and reliability are improved, but patient access and ease of operation deteriorate

Engineering Contradiction:

Improvecognitive assessment accuracyVSAvoidpatient access

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system enables patients to self-administer cognitive assessments through a computing device without requiring clinician presence. The patient interacts with the assessment interface independently, completing memory tasks and providing responses autonomously, which dramatically improves accessibility while maintaining assessment quality through built-in validation and algorithmic analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The computing device serves as an intermediary between the patient and the cognitive assessment system. It delivers the assessment interface, collects patient responses, and transmits data to the processor for algorithmic analysis, bridging the gap between patient self-administration and clinically-reliable measurement.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive cognitive neuropsychological data is integrated into assessments, then predictive power is improved, but device complexity increases

Engineering Contradiction:

Improvepredictive powerVSAvoidassessment system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system incorporates multiple cognitive parameters including memory recall accuracy, response time, and confidence levels to create a multidimensional assessment profile. By analyzing changes across these parameters rather than single metrics, the system achieves high predictive power for cognitive impairment while managing complexity through algorithmic processing.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The cognitive assessment is divided into separate functional modules including memory presentation, patient response collection, algorithmic analysis, and probability calculation. This segmentation allows each component to be optimized independently and processed through dedicated computational routines, reducing overall system complexity while maintaining comprehensive predictive capability.

Inventive Principle:

Principle #1Segmentation

3Productivity

If patient responses are collected and analyzed through algorithms, then productivity and scalability are improved, but loss of information increases

Engineering Contradiction:

Improveassessment throughputVSAvoidcognitive data fidelity

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system incorporates confidence level feedback where patients indicate their certainty about each response. This additional feedback dimension allows the algorithm to weight responses appropriately and maintain data fidelity while processing large volumes of assessments efficiently through automated analysis.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary data validation and structuring during the assessment administration phase, organizing responses into standardized formats before algorithmic analysis. This preliminary processing ensures that no information is lost during transmission and analysis while enabling high-speed computational processing.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12257062B2System and process for computerized screening and monitoring for cognitive characteristics

Publication Date: 2025.03.25 THE CLEVELAND CLINIC FOUND

AI summary

A method and device includes generating and displaying a first set of objects and a second set of objects; displaying a first object belonging to either the first set of objects or the second set of objects; receiving a first response of whether the first object belongs to the first set of objects or the second set of objects; determining whether the first response correctly identifies a set of objects to which the first object belongs; displaying a second object from either the first set of objects or the second set of objects; receiving a second response of whether the first object belongs to the first set of objects or the second set of objects; determining whether the second response correctly identifies the set of objects to which the second object belongs; and applying an algorithm to determine a probability of a cognitive characteristic.