New Horizons in artificial intelligence in the healthcare of older people.
Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which manage and analyse large datasets to make inferences and predictions. There are many potential applications of AI in the care of older people, from clinical decision support systems that can support i...
| Publicado en: | Age & Ageing Vol. 52; no. 12; pp. 1 - 12 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Dec2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174575450&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174575450 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Dec2023 vid: 52 iid: 12 pid: 622 pub: Oxford University Press / USA artinfo: ui: 174575450 10.1093/ageing/afad219 ppf: 1 ppct: 11 formats: tig: atl: New Horizons in artificial intelligence in the healthcare of older people. aug: au: Shiwani, Taha Relton, Samuel Evans, Ruth Kale, Aditya Heaven, Anne Clegg, Andrew group, Ageing Data Research Collaborative (Geridata) AI Todd, Oliver affil: Academic Unit for Ageing & Stroke Research , Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust , Duckworth Lane, Bradford, West Yorkshire BD9 6RJ , UK Leeds Institute of Health Sciences, University of Leeds , Leeds , UK Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham , Birmingham , UK su: Privacy Health services accessibility Artificial intelligence Medical care Medical technology Patient-centered care Medical ethics Health equity Elder care Education of physicians Clinical decision support systems Patient autonomy Wearable technology Algorithms Early diagnosis sug: subj: Privacy Health services accessibility Artificial intelligence Medical care Medical technology Patient-centered care Medical ethics Health equity Elder care Continuing Care Retirement Communities Medical, Dental, and Hospital Equipment and Supplies Merchant Wholesalers Surgical Appliance and Supplies Manufacturing Surgical and Medical Instrument Manufacturing Offices of Physicians (except Mental Health Specialists) Offices of physicians Education of physicians Clinical decision support systems Patient autonomy Wearable technology Algorithms Early diagnosis keyword: ageing artificial intelligence health older people technology ageing artificial intelligence health older people technology ab: Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which manage and analyse large datasets to make inferences and predictions. There are many potential applications of AI in the care of older people, from clinical decision support systems that can support identification of delirium from clinical records to wearable devices that can predict the risk of a fall. We held four meetings of older people, clinicians and AI researchers. Three priority areas were identified for AI application in the care of older people. These included: monitoring and early diagnosis of disease, stratified care and care coordination between healthcare providers. However, the meetings also highlighted concerns that AI may exacerbate health inequity for older people through bias within AI models, lack of external validation amongst older people, infringements on privacy and autonomy, insufficient transparency of AI models and lack of safeguarding for errors. Creating effective interventions for older people requires a person-centred approach to account for the needs of older people, as well as sufficient clinical and technological governance to meet standards of generalisability, transparency and effectiveness. Education of clinicians and patients is also needed to ensure appropriate use of AI technologies, with investment in technological infrastructure required to ensure equity of access. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|