
AI-Powered Thematic Analysis in Healthcare
Using LLMs to Scale Transcript Analysis for Pediatric Heart Disease Research
This research introduces an LLM-Enhanced Thematic Analysis Pipeline that transforms how healthcare researchers analyze complex interview data from parents of children with rare heart conditions.
Key Innovations:
- Combines human expertise with LLM capabilities to accelerate thematic analysis while preserving accuracy
- Establishes a novel workflow that reduces manual coding time while maintaining research integrity
- Demonstrates practical application in high-stakes medical contexts with sensitive patient data
- Provides quantitative benchmarks for LLM assistance in qualitative healthcare research
Business Impact: This approach could dramatically reduce resource requirements for healthcare research, enabling faster insights from patient experiences while maintaining analytical rigor in contexts where accuracy is critical.