Data is collected by means of an easy-to-administer digital assessment, supervised by an assistant and completed in 45 minutes. Advanced data analytics are then used to automatically score the tests and map these scores to cognitive domains. This gives you an instant overview of current performance, as well as a comparison with historical data.
It can be challenging to generate accurate insight into a patient’s cognition in the time available. The initial screening process is often insufficient to aid in diagnosis or treatment, while results from individual cognitive tests can be difficult for staff to interpret. 1
Philips IntelliSpace Cognition uses a scientific model2,3 that first norms the raw test scores and then translates these into easy-to-digest results, organized by widely recognized cognitive domains.
It is essential to systematically track patients’ cognitive status throughout the course of their treatment path, such as assessing how they respond to medication or other measures. Doing so also helps you explain changes in cognitive performance to the patient and family. With Philips IntelliSpace Cognition, you have access to longitudinal reporting of performance in each of the main cognitive domains. Automated scoring algorithms generate easily comparable scores, time after time.
Changes in memory and cognition have become common concerns for neurology practices globally (Bailey et al 2018; Herman et al 2017; Gino et al 2010; Pires et al 2012). Such issues likely stem from heightened public awareness about Alzheimer’s disease and related dementias (ADRD), as well as collective knowledge that cognitive impairment can be detected early and prior to loss of daily functions. Although the desire to evaluate and understand cognitive function is top of mind in many clinical interactions, neurologists face a number of barriers when seeking comprehensive analyses of cognitive testing, education, and interventions.
That’s why Philips Healthcare is developing IntelliSpace Cognition (ISC), a fast and reliable digital platform that can help neurologists administer well-established assessments and inform diagnosis and treatment with a robust understanding of patient cognition.
Understanding a patient’s cognitive performance is an important part of diagnosing and treating most neurological conditions. However, paper-based screeners have serious sensitivity limitations. And it can take months to receive results for patients undergoing a full neuropsychological evaluation.
1 Daffner, K.R. (2015). Improving clinical cognitive testing. Neurology, 85, 910-918. 2 Vermeent, S., Dotsch, R., Klaming, L., Miller, J.B., & Schmand, B. (2019). Model-based truncation of cognitive test batteries to minimize assessment time and information loss. Accepted for presentation at AAN2019. 3 Vermeent, S., Dotsch, R., Schmand, B., Klaming, L., Miller, J.B., & Van Elswijk, G. (2019). Construct validity of a newly developed digital cognitive test battery. Manuscript submitted for publication.
* Product is under development and not yet available in any market.
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