Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research.

ABSTRACT:

Objective

To determine accuracy and efficiency of using generative artificial intelligence (GenAI) to undertake thematic analysis.

Introduction

With the increasing use of GenAI in data analysis, testing the reliability and suitability of using GenAI to conduct qualitative data analysis is needed. We propose a method for researchers to assess reliability of GenAI outputs using deidentified qualitative datasets.

Methods

We searched three databases (United Kingdom Data Service, Figshare, and Google Scholar) and five journals (PlosOne, Social Science and Medicine, Qualitative Inquiry, Qualitative Research, Sociology Health Review) to identify studies on health-related topics, published prior to whereby: humans undertook thematic analysis and published both their analysis

SUBMITTER: Jowsey T 

PROVIDER: S-EPMC12412986 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature