Qualitative study explores management and leadership processes for AI in South African public hospitals, suggesting improvements for healthcare efficiency.
Key Points
The study aims to explore management and leadership processes that facilitate artificial intelligence in South African public hospitals.
Qualitative exploratory descriptive phenomenological research design was utilized.
Data collection involved twelve individual interviews with operational managers from a public hospital.
Thematic analysis by Braun and Clarke was applied to analyze the collected data.
Four major themes were identified: staff development practices, participative leadership practices, change management application, and interprofessional communication.