Normative data are quantitative measures are used to compare an individual’s performance to that of a relevant population. A comparison to a representative normative baseline is essential to interpret an individual test score and ideally accounts for differences related to age, education and sex. In fact, not comparing to normative data will often result in missing subtle signs of cognitive impairment. The cognitive assessment in ISC features well-established neuropsychological tests, each with its specific normative corrections but based on the same representative group of the US population. These normed outcome measures are validated against the traditional paper versions of each test. In 2019 and 2021, Philips collected normative data and test validation data through a series of studies that were performed in accordance with the
ISO14155 standard for Good Clinical Practice.1,2 The studies involved collecting data across four different states (NY, FL, PA, CA). We administered over 1000 cognitive assessments in a group of almost 1000 healthy participants. Our participants were enrolled using stratified sampling such that distributions of sex, education level, and racial/ethnic background reflect the US Census closely.
For test validation we used data from these studies to compare the psychometric properties of the digital ISC tests to their paper counterparts. A group of participants in these studies completed either the digital ISC tests or the paper tests versions, either once, or twice in repeated visits about 2-3 weeks apart. The data from participants that performed both the digital ISC tests and the paper versions allow a direct comparison between the ISC tests and the traditional paper, while eliminating inter-individual differences that could otherwise obscure subtle differences.
The very high level of automation and standardization that ISC achieves is accomplished by using cutting edge technology to adapt the way the tests are administered and scored. Algorithms in IntelliSpace Cognition that use Artificial Intelligence (AI) have been validated and perform “on par” with human neuropsychology experts (see table below).
1 Psychometric Properties of IntelliSpace Cognition.
http://clinicaltrials.gov/ct2/show/NCT03801382
2 Norms Expansion and Validation for IntelliSpace Cognition.
https://clinicaltrials.gov/ct2/show/NCT04729257
3 Stefan Vermeent, Mandy Spaltman, Gijs van Elswijk, Justin B. Miller & Ben Schmand (2021): Philips IntelliSpace Cognition digital test battery: equivalence and measurement invariance compared to traditional analog test versions, The Clinical Neuropsychologist.
https://doi.org/10.1080/13854046.2021.1974565
4 Based on a 2019 Philips study of 100 neurologists in the US.
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