This paper is in the following e-collection/theme issue:

New Methods (909) Ubiquitous Health (uHealth) (116) mHealth for Wellness, Behavior Change and Prevention (2743) Dementia and Cognitive Decline (426)

Published on in Vol 19, No 10 (2017): October

Reduction in Fall Rate in Dementia Managed Care Through Video Incident Review: Pilot Study

Reduction in Fall Rate in Dementia Managed Care Through Video Incident Review: Pilot Study

Reduction in Fall Rate in Dementia Managed Care Through Video Incident Review: Pilot Study

Authors of this article:

Eleonore Bayen1 Author Orcid Image ;   Julien Jacquemot2 Author Orcid Image ;   George Netscher2 Author Orcid Image ;   Pulkit Agrawal3 Author Orcid Image ;   Lynn Tabb Noyce4 Author Orcid Image ;   Alexandre Bayen5 Author Orcid Image
Article Authors Cited by (23) Tweetations (7) Metrics

Journals

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  2. Yousaf K, Mehmood Z, Saba T, Rehman A, Munshi A, Alharbey R, Rashid M. Mobile-Health Applications for the Efficient Delivery of Health Care Facility to People with Dementia (PwD) and Support to Their Carers: A Survey. BioMed Research International 2019;2019:1 View
  3. Yousaf K, Mehmood Z, Awan I, Saba T, Alharbey R, Qadah T, Alrige M. A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science 2020;23(2):287 View
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  7. Wilmink G, Dupey K, Alkire S, Grote J, Zobel G, Fillit H, Movva S. Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study. JMIR Aging 2020;3(2):e19554 View
  8. Nilsson M, Andersson S, Magnusson L, Hanson E. Ambient assisted living technology‐mediated interventions for older people and their informal carers in the context of healthy ageing: A scoping review. Health Science Reports 2021;4(1) View
  9. Oh-Park M, Doan T, Dohle C, Vermiglio-Kohn V, Abdou A. Technology Utilization in Fall Prevention. American Journal of Physical Medicine & Rehabilitation 2021;100(1):92 View
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  11. Choukou M, Mbabaali S, East R. Healthcare Professionals’ Perspective on Implementing a Detector of Behavioural Disturbances in Long-Term Care Homes. International Journal of Environmental Research and Public Health 2021;18(5):2720 View
  12. Choukou M, Shortly T, Leclerc N, Freier D, Lessard G, Demers L, Auger C. Evaluating the acceptance of ambient assisted living technology (AALT) in rehabilitation: A scoping review. International Journal of Medical Informatics 2021;150:104461 View
  13. Lazarou I, Stavropoulos T, Mpaltadoros L, Nikolopoulos S, Koumanakos G, Tsolaki M, Kompatsiaris I. Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study. Journal of Alzheimer's Disease Reports 2021;5(1):497 View
  14. Bayen E, Nickels S, Xiong G, Jacquemot J, Subramaniam R, Agrawal P, Hemraj R, Bayen A, Miller B, Netscher G. Reduction of Time on the Ground Related to Real-Time Video Detection of Falls in Memory Care Facilities: Observational Study. Journal of Medical Internet Research 2021;23(6):e17551 View
  15. Behera C, Condell J, Dora S, Gibson D, Leavey G. State-of-the-Art Sensors for Remote Care of People with Dementia during a Pandemic: A Systematic Review. Sensors 2021;21(14):4688 View
  16. El‐Taliawi O, Goyal N, Howlett M. Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching. Review of Policy Research 2021;38(6):640 View
  17. Zgonec S. Mobile apps supporting people with dementia and their carers: Literature Review and Research Agenda. IFAC-PapersOnLine 2021;54(13):663 View
  18. Khan S, Mishra P, Javed N, Ye B, Newman K, Mihailidis A, Iaboni A. Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia. IEEE Access 2022;10:10349 View
  19. Lear R, Ellis S, Ollivierre-Harris T, Long S, Mayer E. Video Recording Patients for Direct Care Purposes: Systematic Review and Narrative Synthesis of International Empirical Studies and UK Professional Guidance. Journal of Medical Internet Research 2023;25:e46478 View
  20. Manchanda N, Aggarwal A, Setya S, Talegaonkar S. Digital Intervention for the Management of Alzheimer’s Disease. Current Alzheimer Research 2022;19(14):909 View
  21. Koszalinski R, Tappen R, Ghoraani B, Vieira E, Marques O, Furht B. Use of Sensors for Fall Prediction in Older Persons. CIN: Computers, Informatics, Nursing 2023;41(12):993 View
  22. Zhou Z, Liu Z, Liu Y, Zhao Y, Wang J, Zhang B, Xia Y, Zhang X, Li S. TCS-Fall: Cross-individual fall detection system based on channel state information and time-continuous stack method. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Mishra A, Mohapatra S, Bisoy S. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. View