Bridging Priorities: AI Adoption in Older Adult Healthcare

According to JMIR Aging, a 2026 qualitative study led by Zhang et al. interviewed 49 stakeholders across six groups and found that differing definitions of cost, usability, and value create material barriers to AI adoption in older adult healthcare.

• 49 stakeholders were interviewed in semistructured interviews in 2026, across six stakeholder groups including older adults, care partners, clinicians, payers, health system leaders, and developers (JMIR Aging, 2026).
• Investors and developers cited 4-to-7-year regulatory timelines and high development costs as drivers of their need for large market scale, according to News-Medical.Net reporting on July 30, 2026.
• End users reported that delivered tools sometimes felt like "solutions in search of a problem, " a phrase quoted by study participants and reported in the JMIR Aging article.
• The JMIR Aging authors conclude that "aligning decisional priorities across stakeholders remains critical to motivating impactful AI health technologies for older adults."

Answer: The JMIR Aging study used semistructured interviews in 2026 to map stakeholder decision drivers and identify adoption barriers.

According to JMIR Aging, Zhang et al. (2026) conducted semistructured interviews with 49 key stakeholders across six groups to discover how older adults, care partners, clinicians, payers, health system leaders, developers, and investors define value differently.

According to News-Medical.Net reporting on July 30, 2026, the interview analysis surfaced three cross-cutting decision drivers (cost, usability, and perceived value) and detailed how those drivers mean different things to each stakeholder group.

According to the JMIR Aging authors, developers and investors prioritized market size and scalability because they face long regulatory timelines and high financial risk, while older adults prioritized low out-of-pocket cost and accessibility.

Answer: Product teams must translate shared labels into shared, testable requirements to move from prototype to adoption.

According to the JMIR Aging study (Zhang et al., 2026), "cost" means out-of-pocket affordability to older adults and ROI to payers, so a single pricing or reimbursement approach will not satisfy both groups.

According to News-Medical.Net reporting on July 30, 2026, older adults and care partners emphasized physical and sensory accessibility, while clinicians emphasized workflow fit and burnout prevention.

Practical step: use targeted qualitative segments and cross-segment analyses to surface where design trade-offs are non-negotiable versus negotiable, for example by coding interview data for 'cost meaning' per stakeholder segment and comparing co-occurrence with 'usability' codes.

Answer: Aligning stakeholder priorities is essential to advance AI adoption in older adult healthcare, and AI-enabled qualitative research accelerates that alignment.

According to the JMIR Aging study (Zhang et al., 2026), explicit multi-stakeholder engagement and clearer definitions of cost and value are actionable starting points.

Product teams and researchers should combine targeted interviews with cross-segment thematic analysis to translate qualitative themes into payer- and investor-ready evidence.

Get started: Try Evidano for free to pilot transcription, thematic coding, and cross-segment dashboards for your stakeholder interviews.