AI-Assisted Thematic Analysis of EMS Workforce Resilience: Insights from Thailand's Emergency Care System

Abstract

Thematic analysis of the Thai emergency medical service (EMS) is conducted with the support from an AI-assistant tool, NotebookLM. Initially, the results from AI in a few tasks related to thematic analysis are compared with those from manual analysis. Subsequently, the same collected dataset was analyzed entirely using NotebookLM with the analysis method following classical steps of thematic analysis through the designed series of prompts. The AI-generated report indicates major factors influencing Thai EMS, including policy governance, infrastructure and resource, community engagement, system resilience and preparedness, workforce development. Although the AI tool can streamline data analysis and save time, its result is still less comprehensive than the manual analysis conducted by the researcher.