Artificial intelligence Leadership (AI-leadership) of Nursing Administrators at Private Hospitals in Thailand: A Qualitative Study at Generated Themes used Thematic Analysis Approach

Abstract

This qualitative study armed to study the meaning of AI leadership and the components of AI leadership, the problems and needs of AI capability development. The participants included senior, mid-level, and junior nursing administrators, selected initially through purposive sampling and subsequently expanded through snowball sampling until data saturation was reached with key importance 25 participants across three private hospitals. Data were collected via in-depth, semi-structured interviews, audio-recorded, and transcribed verbatim. Data analysis employed thematic analysis approach and using ATLAS.ti 6.1 to identify major and sub-themes. The study findings: AI- leadership among nursing administrators refers to the ability to use data and AI-powered technologies for effective decision-making, management, and process improvement. Nursing administrators emphasized using data to develop strategies, enhance transparency, foster team collaboration, and improve service quality. They also supported skill development in technology use and fostered a data-driven culture to ensure comprehensive, high-standard patient care. The study identified 21 sub-themes within 6 major themes: 1) Data management, analysis, and decision-making; 2) Innovation and quality improvement; 3) Team collaboration and communication; 4) Quality assessment and monitoring; 5) Strategy development and management; and 6) Partnership in human and organizational development.