Automated correlation of neuropsychiatric test data

Abstract

A data processing method comprises, under program control of test instructions programmed in a mobile computing device, generating and causing displaying on a display device of the mobile computing device, a prompt associated with a first cognitive relating to a cognitive test of a feature of a human cognitive domain, the prompt comprising a prompt image of spatially positioned display objects; in conjunction with causing displaying the prompt, reading and storing a first time stamp value indicative of a first time when the prompt is first displayed on the display device of the mobile computing device, the system clock continuously generating signals representing a current time that may be queried programmatically by the application; displaying the prompt for a specified time period using the system clock; in response to displaying the prompt for the specified time period, capturing response input at the mobile computing device, the response input representing movements to recreate the prompt image of the spatially positioned display objects, the movements comprising shapes, icons, characters, and lines, or a combination thereof, that are detected by the display device; detecting a first response input via the display device of the mobile computing device, the first response input representing a first response to the prompt; in conjunction with detecting the first response input, reading and storing a second time stamp value indicative of a second time when the first response input is first detected; repeating the steps of detecting and reading and storing the first and second time stamp values for a plurality of subsequent prompts relating to the same test or the same cognitive task to yield an association of a plurality of different response values with a plurality of respective different time stamp values, the plurality of different response values representing a plurality of respective different response input; and by test analysis instructions of a server computer, based upon the plurality of different response values and the plurality of respective different time stamp values, determining a cognitive domain score value representing the feature, or information relating to the feature, of the human cognitive domain.

Description

BENEFIT CLAIM[0001]This application claims the benefit under 35 U.S.C. § 120 as a continuation of non-provisional application Ser. No. 15 / 077,628, filed Mar. 22, 2016, which claims the benefit under 35 U.S.C. § 119(e) of provisional application 62 / 208,635, filed Aug. 22, 2015, the entire contents of which are hereby incorporated by reference for all purposes as if fully set forth herein.FIELD OF THE DISCLOSURE[0002]The present disclosure generally relates to computer-implemented measurement of responses to neuropsychiatric tests, compilation of test data, and automated analysis, scoring and interpretation of test data.BACKGROUND[0003]The approaches described in this section are approaches that could be pursued, but not necessarily approaches that have been previously conceived or pursued. Therefore, unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section.[0004]N...

AI Technical Summary

Problems solved by technology

This approach is costly and subject to human error in scoring, particularly with regard to response time.

Testing also may be subject to latent or explicit bias on the part of the clinician.

They also require a clinician explain, administer, interpret as well as write up the results and remain costly.

When testing large numbers of subjects is needed, such as in the context of criminal justice systems, these costs are excessive in the aggregate.

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