Teleneurology and mobile technologies: the future of neurological care
Abstract
Neurological disorders are the leading cause of global disability. However, for most people around the world, current neurological care is poor. In low-income countries, most individuals lack access to proper neurological care, and in high-income countries, distance and disability limit access. With the global proliferation of smartphones, teleneurology - the use of technology to provide neurological care and education remotely - has the potential to improve and increase access to care for billions of people. Telestroke has already fulfilled this promise, but teleneurology applications for chronic conditions are still in their infancy. Similarly, few studies have explored the capabilities of mobile technologies such as smartphones and wearable sensors, which can guide care by providing objective, frequent, real-world assessments of patients. In low-income settings, teleneurology can increase the capacity of local care systems through professional development, diagnostic support and consultative services. In high-income settings, teleneurology is likely to promote the expansion and migration of neurological care away from institutions, incorporate systems of asynchronous communication (such as e-mail), integrate clinicians with diverse skill sets and reach new populations. Inertia, outdated policies and social barriers - especially the digital divide - will slow this progress at considerable cost. However, a future increasingly will be possible in which neurological care can be accessed by anyone, anywhere. Here, we examine the emerging evidence regarding the benefits of teleneurology for chronic conditions, its role and risks in low-income countries and the promise of mobile technologies to measure disease status and deliver care. We conclude by discussing the future trends, barriers and timing for the adoption of teleneurology.
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Wearable sensors have proven useful to quantitatively assess gait, posture, and tremor in patients with multiple sclerosis, Parkinson disease, Parkinsonism, and Huntington disease.
“Wearable sensors have proven useful to quantitatively assess gait, posture, and tremor in patients with multiple sclerosis, Parkinson disease, Parkinsonism, and Huntington disease (43).”
From Artificial Intelligence in Medicine: Today and Tomorrow (2020) · cites this paper as [43]
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Self-citationVirtual visits for Parkinson disease
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Self-citationTelestroke—the promise and the challenge. Part one: growth and current practice
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Self-citationUser satisfaction with realtime teleneurology
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The global burden of neurological disorders: translating evidence into policy
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Artificial Intelligence in Medicine: Today and Tomorrow
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Long-term unsupervised mobility assessment in movement disorders
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Improving Access to Care: Telemedicine Across Medical Domains
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Self-citationAdvances in Neurodegenerative Diseases
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Telemedicine in the Era of Coronavirus Disease 2019 (COVID-19): A Neurosurgical Perspective
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Rapid implementation of virtual neurology in response to the COVID-19 pandemic
Grossman, S. N., Han, S. C., Balcer, L. J., Kurzweil, A. M., Weinberg, H. J., Galetta, S. L., & Busis, N. A. (2020) · Neurology · doi:10.1212/wnl.0000000000009677 · Cited by 134 · see citing works
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Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
Zampogna, A., Mileti, I., Palermo, E., Celletti, C., Paoloni, M., Manoni, A., Mazzetta, I., Costa, G. D., Pérez‐López, C., Camerota, F., et al. (2020) · Sensors · doi:10.3390/s20113247 · Cited by 117 · see citing works
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Self-citationImproving Prehospital Stroke Services in Rural and Underserved Settings With Mobile Stroke Units
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Why does Africa have the lowest number of Neurologists and how to cover the Gap?
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Multidisciplinary Approach and Outcomes of Tele-neurology: A Review
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A digital embrace to blunt the curve of COVID19 pandemic
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Self-citationDeep Phenotyping of Parkinson’s Disease
Dorsey, E. R., Omberg, L., Waddell, E. M., Adams, J., Adams, R., Ali, M. R., Amodeo, K., Arky, A., Augustine, E. F., Dinesh, K., et al. (2020) · Journal of Parkinson s Disease · doi:10.3233/jpd-202006 · Cited by 63 · see citing works
Self-citationA digital health industry cohort across the health continuum
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- Authors
- Dorsey, E. R., Glidden, A. M., Holloway, M. R., Birbeck, G. L., & Schwamm, L. H.
- Affiliations
- University of Rochester Medicine (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Dorsey, E. Ray
- Venue
- Nature Reviews Neurology
- Published
- 2018-04-06
- Volume
- 14
- Issue
- 5
- Pages
- 285-297
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- OpenAlex
- W2795761008
- Cited by
- 258
- References
- 169
- Citations by year
- 2026: 22 · 2025: 22 · 2024: 39 · 2023: 32 · 2022: 27 · 2021: 50 · 2020: 43 · 2019: 19 · 2018: 4
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R01NS094037, U10NS086729, P20NS092529, U01NS077179)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- teleneurology, mobile health, smartphones, wearable sensors, telestroke, Parkinson's disease, epilepsy, multiple sclerosis, chronic neurological disease, low-income countries, digital divide, telehealth adoption, remote patient monitoring
- MeSH terms
- Humans, Nervous System Diseases, Neurology, Telemedicine, Monitoring, Ambulatory, Mobile Applications
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