We are racing towards a time wherein the largest demographic of the population will be comprised of older adults and where it is now also possible to measure, monitor, and diagnose long term risk factors and provide effective and valuable preventative interventions. Thanks to the achievements of modern health care, we have reached a tipping point in the need for a robust geriatric workforce. Through the implementation of thoughtful, deliberate, and collaborative processes, Artificial Intelligence can play a significant role in preparing individuals in both mind and body for healthy aging. On May 1, 2025, the Johns Hopkins Artificial Intelligence and Technology Collaboratory (JH AITC) hosted a one-day summit in Washington, DC, to explore the future and potential uses of Artificial Intelligence (AI) for older adults. Presenters and participants discussed the challenges facing the implementation of this technology into the U.S. health care system and the opportunities recent advances are affording in improving the quality of life for older adults.
Peter M. Abadir, Phillip H. Phan, M. Aliberti et al.· Journal of The American Geri...· 0 citations
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 This study aimed to understand the decision-making of different stakeholders regarding AI and technologies for the health care of older adults. Methods 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. 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, 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. Conclusions As with prior health-related technology innovations, aligning decisional priorities across stakeholders is critical to motivate impactful AI health technologies for older adults.
Zhang Zhang, Thomas Km Cudjoe, Sato Ashida et al.· JMIR Aging· 0 citations
