Affiliation:
1. Rutgers University Institute for Health, Health Care Policy and Aging Research, , New Brunswick, NJ, USA
2. Rutgers University Department of Neurology, Robert Wood Johnson Medical School, , New Brunswick, NJ, USA
Abstract
Abstract
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.
Funder
National Academy of Neuropsychology and the Eunice Kennedy Shriver National Institute of Child Health and Human Development
Publisher
Oxford University Press (OUP)
Cited by
3 articles.
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