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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dwolatzky, Tzvi |
| Abstract | In this paper, we describe the clinical use and implications of a computerized neuropsychological assessment battery. The recognition that many diseases and clinical states have an effect of the cognitive status of the patient necessitates the development of validated, easy to use instruments for cognitive evaluation. The traditional approach has been to design paper-based forms and tests that assess neurocognitive functions. While many of these instruments have been validated and are widely used, they have many disadvantages. The administration of these tests usually requires a neuropsychologist or at least other trained professional staff with an understanding of cognitive functions. As well, the evaluation of these tests are time consuming, and reports are often delayed for some time while the results are analyzed. Over the last two decades there has been a growing interest in the development of computerized cognitive assessment batteries in many clinical conditions. The Mindstreams battery was developed by Neurotrax Corp (NJ, USA) specifically for neurocognitive assessment. This battery has important advantages. Reaction time can be measured with great accuracy, and the objective measurement of accuracy, omissions and commissions is retained by the system. Results obtained are compared to a large centralized database of subjects matched for age and education level. Results are available immediately on completion of the battery. A useful feature is that patients can be accurately monitored over time. We describe the use and advantages of the Mindstreams computerized assessment battery in clinical situations. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450307727 |
| DOI | 10.1145/2141622.2141681 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-05-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Human computer interaction User-centered design Assessment Cognition Alzheimer's disease Dementia |
| Content Type | Text |
| Resource Type | Article |
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