Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.

Autor:	Harris C; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.; Department of Neurology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA., Tang Y; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.; Department of Neurology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA., Birnbaum E; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA., Cherian C; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA., Mendhe D; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA., Chen MH; Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.; Department of Neurology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Jazyk:	angličtina
Zdroj:	Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists [Arch Clin Neuropsychol] 2024 Apr 24; Vol. 39 (3), pp. 290-304.
DOI:	10.1093/arclin/acae016
Abstrakt:	Compared with other health disciplines, there is a stagnation in technological innovation in the field of clinical neuropsychology. Traditional paper-and-pencil tests have a number of shortcomings, such as low-frequency data collection and limitations in ecological validity. While computerized cognitive assessment may help overcome some of these issues, current computerized paradigms do not address the majority of these limitations. In this paper, we review recent literature on the applications of novel digital health approaches, including ecological momentary assessment, smartphone-based assessment and sensors, wearable devices, passive driving sensors, smart homes, voice biomarkers, and electronic health record mining, in neurological populations. We describe how each digital tool may be applied to neurologic care and overcome limitations of traditional neuropsychological assessment. Ethical considerations, limitations of current research, as well as our proposed future of neuropsychological practice are also discussed. (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)
Databáze:	MEDLINE
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