Harnessing ChatGPT for thematic analysis: Are we ready?
October 23, 2023 ยท Declared Dead ยท ๐ Journal of Medical Internet Research
"No code URL or promise found in abstract"
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Authors
V Vien Lee, Stephanie C. C. van der Lubbe, Lay Hoon Goh, Jose M. Valderas
arXiv ID
2310.14545
Category
cs.CL: Computation & Language
Citations
75
Venue
Journal of Medical Internet Research
Last Checked
4 months ago
Abstract
ChatGPT is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one application that stands to benefit from this technology. This viewpoint explores the utilization of ChatGPT in three core phases of thematic analysis within a medical context: 1) direct coding of transcripts, 2) generating themes from a predefined list of codes, and 3) preprocessing quotes for manuscript inclusion. Additionally, we explore the potential of ChatGPT to generate interview transcripts, which may be used for training purposes. We assess the strengths and limitations of using ChatGPT in these roles, highlighting areas where human intervention remains necessary. Overall, we argue that ChatGPT can function as a valuable tool during analysis, enhancing the efficiency of the thematic analysis and offering additional insights into the qualitative data.
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