The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study

Zhang Zhang; Thomas Km Cudjoe; Sato Ashida; Jacqueline Massare; Kacey Chae; Phillip Phan; Peter Abadir; Alicia I Arbaje; Mathias Unberath; Nancy L Schoenborn

doi:10.2196/86148

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The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study

Journal article

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Peer reviewed

The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study

Zhang Zhang, Thomas Km Cudjoe, Sato Ashida, Jacqueline Massare, Kacey Chae, Phillip Phan, Peter Abadir, Alicia I Arbaje, Mathias Unberath and Nancy L Schoenborn

JMIR aging, Vol.9, e86148

07/29/2026

DOI: 10.2196/86148

PMID: 42525445

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Abstract

Artificial intelligence (AI) has the potential to improve health among older adults, yet how different stakeholders decide to develop, finance, and adopt AI innovations is not well understood. This study aimed to understand the decision-making of different stakeholders regarding AI and technologies for the health care of older adults. We conducted semistructured interviews with 15 older adults and care partners, 15 clinicians, 8 health system or insurance leaders, 5 investors, and 6 technology developers. Data were analyzed using thematic content analysis. All stakeholders considered cost, value, and usability important in adopting AI health technologies but emphasized different aspects of each concept. Older adults and care partners prioritized out-of-pocket costs and ease of use, whereas payers emphasized disease prevalence and implementation feasibility. Developers and investors focused on profitability and scalability, resulting in tension with end users' priorities. Participant suggestions included problem-driven design, greater stakeholder engagement, public-private partnerships, and educating older adults about AI. As with prior health-related technology innovations, aligning decisional priorities across stakeholders is critical to motivate impactful AI health technologies for older adults.

Aged

Artificial Intelligence

Decision Making

Female

Humans

Interviews as Topic

Male

Middle Aged

Qualitative Research

Stakeholder Participation - psychology

Details

Title: Subtitle: The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study
Creators: Zhang Zhang - Johns Hopkins University
Thomas Km Cudjoe - Johns Hopkins University
Sato Ashida - University of Iowa
Jacqueline Massare - Johns Hopkins University
Kacey Chae - Johns Hopkins University
Phillip Phan - Johns Hopkins University
Peter Abadir - Johns Hopkins University
Alicia I Arbaje - Johns Hopkins University
Mathias Unberath - Johns Hopkins University
Nancy L Schoenborn - Johns Hopkins University
Resource Type: Journal article
Publication Details: JMIR aging, Vol.9, e86148
DOI: 10.2196/86148
PMID: 42525445
ISSN: 2561-7605
eISSN: 2561-7605
Publisher: JMIR Publications Inc.
Grant note: Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research: P30AG073104 National Institute on Aging: T32AG066576
This study was supported by a grant from the Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research (P30AG073104) . ZZ acknowledges funding from the National Institute on Aging (T32AG066576) .
Language: English
Date published: 07/29/2026
Academic Unit: Injury Prevention Research Center; Community and Behavioral Health
Record Identifier: 9985215017602771

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