Are we ready for artificial intelligence health monitoring in elder care?
Abstract Background The world is experiencing a dramatic increase in the aging population, challenging the sustainability of traditional care models that have relied on in-person monitoring. This debate article discusses whether artificial intelligence health monitoring may be suitable enhancement o...
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| Format: | Article |
| Language: | English |
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BMC
2020-09-01
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| Series: | BMC Geriatrics |
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| Online Access: | http://link.springer.com/article/10.1186/s12877-020-01764-9 |
| _version_ | 1818228631299686400 |
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| author | Anita Ho |
| author_facet | Anita Ho |
| author_sort | Anita Ho |
| collection | DOAJ |
| description | Abstract Background The world is experiencing a dramatic increase in the aging population, challenging the sustainability of traditional care models that have relied on in-person monitoring. This debate article discusses whether artificial intelligence health monitoring may be suitable enhancement or replacement for elder care. Main text Internationally, as life expectancy continues to rise, many countries are facing a severe shortage of direct care workers. The health workforce is aging, and replacement remains a challenge. Artificial intelligence health monitoring technologies may play a novel and significant role in filling the human resource gaps in caring for older adults by complementing current care provision, reducing the burden on family caregivers, and improving the quality of care. Nonetheless, opportunities brought on by these emerging technologies raise ethical questions that must be addressed to ensure that these automated systems can truly enhance care and health outcomes for older adults. This debate article explores some ethical dimensions of using automated health monitoring technologies. It argues that, in order for these health monitoring technologies to fulfill the wishes of older adults to age in place and also to empower them and improve their quality of life, we need deep knowledge of how stakeholders may balance their considerations of relational care, safety, and privacy. Conclusion It is only when we design artificial intelligence health monitoring technologies with intersecting clinical and ethical factors in mind that the resulting systems will enhance productive relational care, facilitate independent living, promote older adults’ health outcomes, and minimize waste. |
| first_indexed | 2024-12-12T10:05:47Z |
| format | Article |
| id | doaj.art-adad39e5201e4d35a84c124a02075ddb |
| institution | Directory Open Access Journal |
| issn | 1471-2318 |
| language | English |
| last_indexed | 2024-12-12T10:05:47Z |
| publishDate | 2020-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Geriatrics |
| spelling | doaj.art-adad39e5201e4d35a84c124a02075ddb2022-12-22T00:27:53ZengBMCBMC Geriatrics1471-23182020-09-012011710.1186/s12877-020-01764-9Are we ready for artificial intelligence health monitoring in elder care?Anita Ho0Centre for Applied Ethics, University of British ColumbiaAbstract Background The world is experiencing a dramatic increase in the aging population, challenging the sustainability of traditional care models that have relied on in-person monitoring. This debate article discusses whether artificial intelligence health monitoring may be suitable enhancement or replacement for elder care. Main text Internationally, as life expectancy continues to rise, many countries are facing a severe shortage of direct care workers. The health workforce is aging, and replacement remains a challenge. Artificial intelligence health monitoring technologies may play a novel and significant role in filling the human resource gaps in caring for older adults by complementing current care provision, reducing the burden on family caregivers, and improving the quality of care. Nonetheless, opportunities brought on by these emerging technologies raise ethical questions that must be addressed to ensure that these automated systems can truly enhance care and health outcomes for older adults. This debate article explores some ethical dimensions of using automated health monitoring technologies. It argues that, in order for these health monitoring technologies to fulfill the wishes of older adults to age in place and also to empower them and improve their quality of life, we need deep knowledge of how stakeholders may balance their considerations of relational care, safety, and privacy. Conclusion It is only when we design artificial intelligence health monitoring technologies with intersecting clinical and ethical factors in mind that the resulting systems will enhance productive relational care, facilitate independent living, promote older adults’ health outcomes, and minimize waste.http://link.springer.com/article/10.1186/s12877-020-01764-9Artificial intelligenceMachine learningEthicsAging in placeIndependent livingHealth monitoring |
| spellingShingle | Anita Ho Are we ready for artificial intelligence health monitoring in elder care? BMC Geriatrics Artificial intelligence Machine learning Ethics Aging in place Independent living Health monitoring |
| title | Are we ready for artificial intelligence health monitoring in elder care? |
| title_full | Are we ready for artificial intelligence health monitoring in elder care? |
| title_fullStr | Are we ready for artificial intelligence health monitoring in elder care? |
| title_full_unstemmed | Are we ready for artificial intelligence health monitoring in elder care? |
| title_short | Are we ready for artificial intelligence health monitoring in elder care? |
| title_sort | are we ready for artificial intelligence health monitoring in elder care |
| topic | Artificial intelligence Machine learning Ethics Aging in place Independent living Health monitoring |
| url | http://link.springer.com/article/10.1186/s12877-020-01764-9 |
| work_keys_str_mv | AT anitaho arewereadyforartificialintelligencehealthmonitoringineldercare |