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Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study.

Kevin Danis LiAdrian M FernandezRachel SchwartzNatalie RiosMarvin Nathaniel CarlisleGregory M AmendHiren V PatelBenjamin N Breyer
Published in: Journal of medical Internet research (2024)
Large language models including GPT-4 can effectively identify key themes in analyzing qualitative health care data, showing moderate agreement with human analysis. While human analysis provided a richer diversity of subthemes, the consistency of AI suggests its use as a complementary tool in qualitative research. With AI rapidly advancing, future studies should iterate analyses and circumvent token limitations by segmenting data, furthering the breadth and depth of large language model-driven qualitative analyses.
Keyphrases
  • data analysis
  • endothelial cells
  • healthcare
  • induced pluripotent stem cells
  • systematic review
  • pluripotent stem cells
  • artificial intelligence
  • electronic health record
  • big data
  • machine learning
  • health insurance