Presentation
Everyday AI Use and Career Anxiety among Hospital Staff: An Exploratory Qualitative Study in a Tertiary Hospital
DescriptionThis qualitative study examines how hospital staff experience career anxiety while using AI tools in daily work. Based on semi-structured interviews with 20 physicians, nurses, medical technicians, and administrative staff in a tertiary public hospital, the study finds that AI did not create career anxiety on its own. Instead, it became connected with existing pressures, including heavy workload, patient safety responsibility, performance assessment, career competition, unclear expectations, and limited support. Participants mainly used general-purpose AI tools for drafting, summarizing, information searching, teaching preparation, and research support. These uses helped reduce repetitive work, but also raised concerns about skill gaps, privacy, unreliable outputs, accountability, and possible task replacement. Anxiety varied by role. Administrative staff and medical technicians were more concerned about automation of standardized tasks, while physicians and nurses emphasized clinical judgment, communication, bedside care, and human responsibility. The findings suggest that hospitals need secure AI platforms, role-specific training, clear accountability rules, privacy protection, and workload-focused support to make AI useful rather than burdensome.
Contributors
Event Type
Lecture
TimeTuesday, October 20th5:10pm - 5:30pm PDT
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