Usefulness, Acceptance, and Utilization of Artificial Intelligence for Health Information among Employees in a Private School

Abstract

The Technology Acceptance Model (TAM) is widely regarded as a theory for understanding and adopting technology. The theory highlights perceived usefulness as its central construct to determine behavioral intent leading to utilization. Artificial Intelligence (AI) has been used to access and manage health information over the recent years; however, evidence regarding employees’ engagement with AI in school settings have remained limited. Structured on the Technology Acceptance Model (TAM), this descriptive-correlational study determined the perceived usefulness, acceptance, and utilization of AI for health information among 226 employees of a private school in Iloilo. The findings showed perceived usefulness (x̄ = 3.71), particularly for work productivity (x̄ = 3.82). Acceptance was (x̄ = 3.30), strong for updated health trends (x̄ = 3.43).  In addition, utilization was (x̄ = 2.97), higher for understanding health trends (x̄ = 3.40) and general information seeking (x̄ = 3.26), but lower for symptom interpretation (x̄ = 2.89), health decisions (x̄ = 2.75), and AI verification over professionals (x̄ = 2.53). Correlation analysis determined that acceptance had stronger relationship with utilization compared to perceived usefulness, this implies that trust and willingness influences actual use more than recognizing benefits. Findings highlight cautious, selective AI engagement for health information.