Literature DB >> 19964350

Passive in-home health and wellness monitoring: overview, value and examples.

Majd Alwan1.   

Abstract

Modern sensor and communication technology, coupled with advances in data analysis and artificial intelligence techniques, is causing a paradigm shift in remote management and monitoring of chronic disease. In-home monitoring technology brings the added benefit of measuring individualized health status and reporting it to the care provider and caregivers alike, allowing timely and targeted preventive interventions, even in home and community based settings. This paper presents a paradigm for geriatric care based on monitoring older adults passively in their own living settings through placing sensors in their living environments or the objects they use. Activity and physiological data can be analyzed, archived and mined to detect indicators of early disease onset or changes in health conditions at various levels. Examples of monitoring systems are discussed and results from field evaluation pilot studies are summarized. The approach has shown great promise for a significant value proposition to all the stakeholders involved in caring for older adults. The paradigm would allow care providers to extend their services into the communities they serve.

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Mesh:

Year:  2009        PMID: 19964350     DOI: 10.1109/IEMBS.2009.5333799

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  "Are You Sure?": Lapses in Self-Reported Activities Among Healthy Older Adults Reporting Online.

Authors:  Katherine V Wild; Nora Mattek; Daniel Austin; Jeffrey A Kaye
Journal:  J Appl Gerontol       Date:  2015-02-09

2.  Stakeholder Perspectives on In-home Passive Remote Monitoring to Support Aging in Place in the Province of New Brunswick, Canada: Rapid Qualitative Investigation.

Authors:  Emily A Read; Danie A Gagnon; Lorie Donelle; Kathleen Ledoux; Grace Warner; Brad Hiebert; Ridhi Sharma
Journal:  JMIR Aging       Date:  2022-05-11

3.  Perspectives on wellness self-monitoring tools for older adults.

Authors:  Jina Huh; Thai Le; Blaine Reeder; Hilaire J Thompson; George Demiris
Journal:  Int J Med Inform       Date:  2013-09-04       Impact factor: 4.046

4.  Willingness of older adults to share data and privacy concerns after exposure to unobtrusive in-home monitoring.

Authors:  Linda Boise; Katherine Wild; Nora Mattek; Mary Ruhl; Hiroko H Dodge; Jeffrey Kaye
Journal:  Gerontechnology       Date:  2013

Review 5.  Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies.

Authors:  Muhammad Safwan Riaz; Ashish Atreja
Journal:  Clin Gastroenterol Hepatol       Date:  2016-05-14       Impact factor: 11.382

6.  Why common carrier and network neutrality principles apply to the Nationwide Health Information Network (NWHIN).

Authors:  Mark Gaynor; Leslie Lenert; Kristin D Wilson; Scott Bradner
Journal:  J Am Med Inform Assoc       Date:  2013-07-09       Impact factor: 4.497

Review 7.  Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Authors:  Kathrin Seibert; Dominik Domhoff; Dominik Bruch; Matthias Schulte-Althoff; Daniel Fürstenau; Felix Biessmann; Karin Wolf-Ostermann
Journal:  J Med Internet Res       Date:  2021-11-29       Impact factor: 5.428

  7 in total

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