AI-Powered Thematic Analysis in Healthcare

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.

LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease

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