

This approach provides greater quality control of the testing itself, as well as the ability to quantitate not only traditional metrics such as total number of correct responses, but meta-data regarding, for example, the timing of responses, the character of the speech and language contained within each response, and automated analysis across multiple responses.ĭespite the promise of these approaches, there is not yet a deep experience with or wide adoption of automated cognitive test analysis approaches. Among these are innovations in the administration and evaluation of the responses that are afforded by the digital recording of spoken language responses to cognitive tests coupled with automated speech and language analysis of the captured audio files. Recent years have seen several advances to improve the shortcomings of current conventional cognitive assessments for MCI and dementia. In general, these assessments have a number of constraints including requiring a trained clinician, only occurring at a time and location convenient to both the patient and the assessor, and being relatively “noisy” in terms of high intra- and inter- individual variability.
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Full assessment may take from 90 minutes to several hours. Typically, cognitive assessment has been conducted during a clinical visit either in a screening mode by a clinician using a familiar brief test battery, or for a more expansive assay of the patient’s cognitive landscape by a trained psychometrician or neuropsychologist who administers a battery of standardized tests that survey multiple domains of cognitive function. These range from screening for MCI for case identification in clinical trials, to substantiating progressive cognitive decline for diagnostic purposes. There are a number of specific settings where this cognitive assessment is a priority.

The assessment of cognitive change is fundamental in determining whether an individual may be developing mild cognitive impairment (MCI), the clinical transition state often precedent to dementia.
