How do stakeholders make decisions about AI and novel technologies for the healthcare of older adults? A Qualitative Interview Study
ABSTRACT
Background:
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.
Objective:
To understand the decision-making of different stakeholders regarding AI and technologies for the healthcare of older adults.
Methods:
We conducted semi-structured interviews with 15 older adults/care partners, 15 clinicians, 8 health system or insurance leaders, 5 investors, and 6 technology developers. Data were analyzed using thematic content analysis.
Results:
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, while payers emphasized disease prevalence and implementation feasibility. Developers and investors focused on profitability and scalability, resulting in tension with end-users’ priorities. Participant suggestions include problem-driven design, greater stakeholder engagement, public–private partnerships, and educating older adults about AI.
Conclusions:
As with prior health-related technology innovations, aligning decisional priorities across stakeholders is critical to motivate impactful AI health technologies for older adults.
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Copyright
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