Back to search

Article

Using AI to support rapid qualitative data analysis of survey and interview data in public health: a proof-of-concept study

2026-06-22

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) are increasingly used to support a growing range of analytical and operational tasks in public health, and show promise for assisting qualitative text analysis at scale. While they have demonstrated utility in structured natural language processing tasks, their role in more interpretive approaches such as thematic analysis remains less clear. Thematic analysis requ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
531679b1-5874-59c3-8760-4e85fb0134bd
DOI
10.64898/2026.06.19.26356035
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Using AI to support rapid qualitative data analysis of survey and interview data in public health: a proof-of-concept studyDOI 10.64898/2026.06.19.26356035
Large Language Models for Thematic Analysis in Healthcare Research: A Blinded Mixed-Methods Comparison with Human AnalystsSemantic proximity
Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services ResearchSemantic proximity
Comparing human vs. machine-assisted analysis to develop a new approach for Big Qualitative Data AnalysisSemantic proximity
Machine-Assisted Topic Analysis of Large-Scale Health Experience Data: Identifying Sociodemographic Differences and Evaluating Bias in Large Language ModelsSemantic proximity
Beyond Metrics to Methods: A Scoping Review of Large Language Models for Detection of Social Drivers of Health in Clinical NotesSemantic proximity
Extracting Social Determinants of Health from Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model MethodsSemantic proximity
Comparing LLM and Human Expert Coding in Qualitative Research: A Case Study on Emotional IntelligenceSemantic proximity
Generating actionable insights from free-text care experience survey data using qualitative and computational text analysis: A study protocolSemantic proximity
Professionalism Pulse: Development and Validation of a Natural Language Processing Pipeline and Dashboard for Safety Culture Surveillance in NYC Health + HospitalsSemantic proximity
Large language models’ interpretation homogeneity and text Analysis: Evaluating the utility of the global flu view platform for Influenza surveillanceSemantic proximity
How does generative artificial intelligence compare to human analysts in qualitative research?: A systematic review of large language modelsSemantic proximity
Data2Paper: An AI-Assisted Pipeline for Statistical Analysis and Research Paper Drafting from Survey and Clinical DataSemantic proximity
Select a neighboring publication to make it the new centre.