Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.
Background and Objectives Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older adults' perceptions on the application of AI. We explored older adults' perceptions of current communication, AI's role in healthcare delivery, and AI'...
| Publicado en: | Gerontologist Vol. 66; no. 7; pp. 1 - 11 |
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| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jul2026
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| 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=195281429&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195281429 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00169013 GET jtl: Gerontologist issn: 00169013 maglogo: N pubinfo: dt: Jul2026 vid: 66 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 195281429 10.1093/geront/gnag101 ppf: 1 ppct: 10 formats: tig: atl: Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis. aug: au: Olbrich, Courtney L Tenzek, Kelly E Stoll, Jennifer Singh, Ranjit Wahler, Robert G Rahgozar, Arya Raffloer, Gavin Sharma, Samaira Baumgartner, Andrew D affil: Department of Family Medicine, University at Buffalo, New York, New York, United States Department of Communication, University at Buffalo, New York, New York, United States Department of Pharmacy Practice, University at Buffalo, New York, New York, United States Ottawa Hospital Research Institute, School of Engineering Design and Teaching Innovation, University of Ottawa, Ottawa, Ontario, Canada Department of Counseling, University at Buffalo, New York, New York, United States Nichols High School, Buffalo, New York, New York, United States su: United States Elder care Patient safety Artificial intelligence Quantitative research Patient-centered care Patient-professional relations Communication Patient satisfaction Patients' attitudes Patient education Data analysis Attitudes toward computers Descriptive statistics Chi-squared test Research Research methodology Statistics Medication therapy management Medical appointments Computer-aided diagnosis Human comfort Factor analysis Data analysis software Integrated health care delivery Nonparametric statistics Evaluation sug: subj: Elder care Patient safety Artificial intelligence Quantitative research Patient-centered care Patient-professional relations Communication Patient satisfaction Patients' attitudes United States Continuing Care Retirement Communities Patient education Data analysis Attitudes toward computers Descriptive statistics Chi-squared test Research Research methodology Statistics Medication therapy management Medical appointments Computer-aided diagnosis Human comfort Factor analysis Data analysis software Integrated health care delivery Nonparametric statistics Evaluation keyword: aged artificial intelligence copyrightHolder:The Gerontological Society of America copyrightYear:2026 delivery of health care Diagnoses diagnosis https://dx.doi.org/10.1093/geront/gnag101 inLanguage:en Medication management Older adults perception professional supervision publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42104199/ aged artificial intelligence copyrightHolder:The Gerontological Society of America copyrightYear:2026 delivery of health care Diagnoses diagnosis https://dx.doi.org/10.1093/geront/gnag101 inLanguage:en Medication management Older adults perception professional supervision publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42104199/ ab: Background and Objectives Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older adults' perceptions on the application of AI. We explored older adults' perceptions of current communication, AI's role in healthcare delivery, and AI's use for various functions with and without clinician supervision. Research Design and Methods As part of a larger mixed-methods study, we recruited older adults 65 and older (N = 753) to complete a 32-item survey with 5-point Likert scale and checkbox (yes–no) questions. The data were analyzed quantitatively. Results A total of 87% of participants agree or strongly agree current communication with their doctor's office is good. Three factors emerged from exploratory factor analysis examining AI's role in healthcare delivery: perceived usefulness of AI (Cronbach's α =.84), AI as administrative aid (α =.84) , and AI as independent agent (α =.56). Older adults were more comfortable with AI used under the supervision of a clinician rather than without supervision for diagnosis (75% vs 5%, p <.001), treatment (76% vs 5%, p <.001), medication management (74% vs 17%, p <.001), scheduling (77% vs 64%, p <.001), prescription refills (81% vs 54%, p <.001), patient portal messages (55% vs 20%, p <.001). Discussion and Implications Findings underscore a cautious optimism among respondents toward AI in healthcare contingent on clinician oversight and patient notification. Continued survey development measuring older adults' perceptions of AI will be beneficial in this context. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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