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'...

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Publicado en:Gerontologist Vol. 66; no. 7; pp. 1 - 11
Autores principales: Olbrich, Courtney L, Tenzek, Kelly E, Stoll, Jennifer, Singh, Ranjit, Wahler, Robert G, Rahgozar, Arya, Raffloer, Gavin, Sharma, Samaira, Baumgartner, Andrew D
Formato: Artículo
Publicado: Oxford University Press / USA Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.
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          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
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