JMIR Form Res. 2026 Apr 1;10:e87094. doi: 10.2196/87094.
ABSTRACT
BACKGROUND: Artificial intelligence (AI)-enabled digital health kiosks are increasingly used in workplaces and communities to promote health awareness, especially in low- and middle-income countries. However, evidence on their real-world use, user acceptability, and immediate behavioral responses remains limited, especially outside formal clinical care.
OBJECTIVE: This study evaluated the implementation experience, user acceptability, and immediate self-reported actions associated with the use of an AI-enabled workplace health kiosk among public school teachers in an urban, low-resource setting in the Philippines.
METHODS: We conducted a study involving 384 teachers who used an AI health kiosk during wellness activities. The kiosk provided informational health indicators. Postuse surveys assessed usability; trust; privacy concerns; and self-reported actions, such as health consultations and sharing results. Analyses were descriptive and exploratory. The study did not evaluate diagnostic accuracy, clinical validity, disease prevalence, or health outcomes.
RESULTS: Most participants (162/189, 85.7%) rated the kiosk experience as good or excellent, and 93.1% (176/189) found it easy to use. Overall, trust in kiosk results was high, although 31.7% (60/189) of the participants expressed privacy concerns. After using the kiosk, 70.9% (134/189) of the participants consulted a health care professional, and 66.7% (126/189) made lifestyle changes. A small percentage (32/189, 16.9%) reported no follow-up actions, mainly due to uncertainty about the next steps. User feedback highlighted convenience and accessibility but also noted operational issues such as queuing and connectivity problems.
CONCLUSIONS: In this workplace setting, an AI health kiosk was feasible, acceptable, and linked to immediate self-reported health actions. Findings are preliminary and context specific. Formal validation, follow-up studies, and further evaluation are needed before use in diagnostic, population health, or policy contexts.
PMID:41920576 | DOI:10.2196/87094
