This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (619) New Methods (1134) Ontologies, Classifications, and Coding (324) Generative Language Models Including ChatGPT (708) Natural Language Processing (917) mHealth for Data Collection and Research (1196)

Published on in Vol 26 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54974, first published .
Harnessing ChatGPT for Thematic Analysis: Are We Ready?

Harnessing ChatGPT for Thematic Analysis: Are We Ready?

Harnessing ChatGPT for Thematic Analysis: Are We Ready?

Authors of this article:

V Vien Lee1 Author Orcid Image ;   Stephanie C C van der Lubbe1 Author Orcid Image ;   Lay Hoon Goh1, 2 Author Orcid Image ;   Jose Maria Valderas1, 2, 3 Author Orcid Image
Article Authors Cited by (52) Tweetations (4) Metrics

Journals

  1. Šumak B, Pušnik M, Kožuh I, Šorgo A, Brdnik S. Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis. Applied Sciences 2025;15(2):631 View
  2. Yang Y, Ma L. Artificial intelligence in qualitative analysis: a practical guide and reflections based on results from using GPT to analyze interview data in a substance use program. Quality & Quantity 2025;59(3):2511 View
  3. Lee S, Kim E. Can LLMs Be Analytical Tools? : A Content Analysis Study Using GPT Focusing on Reliability and Validity. Korean Journal of Journalism & Communication Studies 2025;69(1):5 View
  4. van der Lubbe S, Lee V, Goh L, Valderas J. Addendum to "Harnessing ChatGPT for Thematic Analysis: Are We Ready?". Journal of Medical Internet Research 2025;27:e68963 View
  5. Ahmed S, Mohammed R, Nashwan A, Ibrahim R, Abdalla A, M. Ameen B, Khdhir R. Using thematic analysis in qualitative research. Journal of Medicine, Surgery, and Public Health 2025;6:100198 View
  6. Zairul M. Enhancing Qualitative Research With Thematic Analysis Matrix (TAM): A Systematic Approach To Thematic Analysis In Architectural Research. ALAM CIPTA International Journal Of Sustainable Tropical Design & Practice 2025;18(1) View
  7. Mizumoto A, Teng M. Large language models fall short in classifying learners’ open-ended responses. Research Methods in Applied Linguistics 2025;4(2):100210 View
  8. Di Nicola M, Pepe M, d’Andrea G, Marcelli I, Pettorruso M, Andriola I, Barlati S, Carminati M, Cattaneo C, Clerici M, De Berardis D, De Filippis S, Dell’Osso B, Di Lorenzo G, Maina G, Manchia M, Marcatili M, Martiadis V, Niolu C, Petralia A, Rosso G, Serafini G, Signorelli M, Vannucchi T, Vismara M, Zanardi R, Vita A, Sani G, Martinotti G. Patient Experience with Intranasal Esketamine in Treatment-Resistant Depression: Insights from a Multicentric Italian Study (REAL-ESKperience). Journal of Personalized Medicine 2025;15(4):161 View
  9. Naeem M, Smith T, Thomas L. Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis. International Journal of Qualitative Methods 2025;24 View
  10. Boisbouvier S, Hermant F, Béasse A. Radiography students wishing to work in the field of radiation therapy: A French experience. Technical Innovations & Patient Support in Radiation Oncology 2025;34:100313 View
  11. Landerholm A. AI in Qualitative Health Research Appraisal: Comparative Study. JMIR Formative Research 2025;9:e72815 View
  12. Orman M, Wanless S, Birgisdóttir F, Norðdahl K. Enjoyment, Empathy, and Environmental Behavior: A Study of Young Children’s Nature Connection in Iceland. Journal of Cognition and Development 2025:1 View
  13. Lirasan M, Adamson M, Cruz V, Capuchino J, De Jesus L, Peñaloza R, Francisco J, Gulmatico M, Valiente J, Soriano M, Oquendo R. Understanding Underreporting of Adverse Drug Reactions in the Philippines: A Mixed Methods Study. Drugs - Real World Outcomes 2025;12(3):367 View
  14. Nguyen-Trung K. ChatGPT in thematic analysis: Can AI become a research assistant in qualitative research?. Quality & Quantity 2025;59(6):4945 View
  15. Morgan D. Query-Based Analysis: A Strategy for Analyzing Qualitative Data Using ChatGPT. Qualitative Health Research 2025 View
  16. Ferizaj D, Lalk C, Lahmann N, Strube-Lahmann S, Rubel J. Identifying Yalom’s group therapeutic factors in anonymous mental health discussions on Reddit: a mixed-methods analysis using large language models, topic modeling and human supervision. Frontiers in Psychiatry 2025;16 View
  17. Soleymani A, De Laat M, Specht M. Exploring Personal Experience and Value Creation in Postdigital Education: Insights from a Large-Scale MOOC Survey. Postdigital Science and Education 2025 View
  18. O'Connor S, Miller E, Zweifel A, Schievelbein D, Parmar A, Amell J. Use of artificial intelligence processing tools to evaluate qualitative data: Student researchers compared to faculty researchers. Currents in Pharmacy Teaching and Learning 2025;17(10):102418 View
  19. Bjelobaba S, Waddington L, Perkins M, Foltýnek T, Bhattacharyya S, Weber-Wulff D. Maintaining research integrity in the age of GenAI: an analysis of ethical challenges and recommendations to researchers. International Journal for Educational Integrity 2025;21(1) View
  20. Han Z, Tavasi A, Lee J, Luzuriaga J, Suresh K, Oppenheim M, Battaglia F, Terlecky S. Can large language models be used to code text for thematic analysis? An explorative study. Discover Artificial Intelligence 2025;5(1) View
  21. Koh S, Wong E, Tan J, van der Lubbe S, Goh J, Ching E, Chia I, Low S, Ang P, Quek Q, Motani M, Valderas J. Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e74231 View
  22. Ng J. Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers. Integrative Medicine Research 2025;14(4):101222 View
  23. Wen C, Clough P, Paton R, Middleton R. Leveraging large language models for thematic analysis: a case study in the charity sector. AI & SOCIETY 2025 View
  24. Lopane D, Mancin S, Cosmai S, Santagostino A, Scollo S, Chiari C, Cattani D, Provasoli C, Cangelosi G, Parozzi M, Palomares S, Saetta A, Velutti L, Mazzoleni B. Reflective Writing to Support Nursing Students’ Ethical Understanding of End-of-Life Care: A Phenomenological Study. Journal of Hospice & Palliative Nursing 2025;27(5):245 View
  25. Fehring L, Frings J, Rust P, Kempny C, Thürmann P, Meister S. Extension of the Consolidated Criteria for Reporting Qualitative Research Guideline to Large Language Models (COREQ+LLM): Protocol for a Multiphase Study. JMIR Research Protocols 2025;14:e78682 View
  26. Jenkins D, Cleverley‐Thompson S, Erikson D, Blankenbaker A, Brown‐Saracino B. Prompting for Meaning: Exploring Generative AI Tools for Qualitative Data Analysis in Leadership Research. Journal of Leadership Studies 2025;19(3) View
  27. van Schaik P, Renaud K, Campbell M, Pigera S. Contact-Tracing App Acceptance Decisions are Multifaceted and Entangled. Digital Government: Research and Practice 2025 View
  28. Goldberg E, Macis M, Bounds M, Picazo J, Nicholas L. Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study. JMIR Aging 2025;8:e76335 View
  29. Nguyen D, Welch C. Generative Artificial Intelligence in Qualitative Data Analysis: Analyzing—Or Just Chatting?. Organizational Research Methods 2025 View
  30. Mehta S, Paul S, Awiti E, Young S, Zulaika G, Otieno F, Phillips-Howard P, Mason L, Bhaumik R. Evaluation of large language models within GenAI in qualitative research. Scientific Reports 2025;15(1) View
  31. Foltýnek T, Newton P. What Does YouTube Advise Students About Bypassing AI-Text Detection Tools? A Pragmatic Analysis. Journal of Academic Ethics 2026;24(1) View
  32. Proctor S, Desai B. Development and Evaluation of Offsite Repository for Clinical Assets, a Resilient Solution for Order Set Access during EHR Downtimes. Applied Clinical Informatics 2025;16(05):1401 View
  33. Chen T, Zhang Y. Unpacking public corruption in the U.S.: An actor-action-target analysis. International Public Management Journal 2025:1 View
  34. Jeong Y, Smith M, Gallo R, Knowlton L, Lin S, Shieh L. Leveraging ChatGPT for thematic analysis of medical best practice advisory data. JAMIA Open 2025;8(5) View
  35. Sarpong D, Liu C, Gordon T, Sy A, Mancera B, Alhassan M. Engaging Communities and Empowering Research: Lessons from a Network of Community Engagement Cores. International Journal of Environmental Research and Public Health 2025;22(11):1661 View
  36. Abahuje E, Houskamp E, Silva Pinheiro do Nascimento J, Agha E, Thompson W, Michelson K, Naidech A. Patient and clinician perspectives in the use of machine learning and artificial intelligence in the context of acute neurology. JAMIA Open 2025;8(6) View
  37. Young J, Feuling M, Huang J. Toward a single source of truth: The case for centralized nutrition documentation in electronic medical records. JPGN Reports 2025 View
  38. Armstrong A, Glick B, Kwatra S, Lang D, Lebwohl M, Lee S, Merritt D, Patel T, Shahriari M, Serota M, Tarbox M, Levine J, Brandt K, Ackbarali S, Schursky S. From Familiar to Foundational: CME-Informed Learning Needs in Dermatologic Management of CSU, AD, and PN. SKIN The Journal of Cutaneous Medicine 2025;9(6):s721 View
  39. Shen S, Zhou K, Wu M, Liu D, Shen X, Li P, Xu Y, Zheng S, Gou X. Feeding intelligence: comparative evaluation of ChatGPT and clinical guidelines for nutritional management in head and neck cancer. Journal of Translational Medicine 2025 View
  40. Meng H, Yang Y, Fu W, Lee J, Li Y, Lee Y. Exploring the Human-LLM Synergy in Advancing Theory-driven Qualitative Analysis. ACM Transactions on Computer-Human Interaction 2025 View
  41. Kruse J, Wald H. Legacy of Medicine and Nursing During the Holocaust and Its Contemporary Relevance: Addressing Implicit and Explicit Bias and Health Care Inequities. The Journal of Continuing Education in Nursing 2025;56(12):527 View

Books/Policy Documents

  1. Bilquise G, Siddartha S, AlHassan M, Sunil B, Al Ibaisi L. Intelligent Computing Systems. View
  2. To L, Alabastro Z, Ilagan J, Ilagan J. HCI in Business, Government and Organizations. View
  3. Salazar Morales A, Yass J, Jain T, Nissen J, Van Dusen B, Baran E. Augmented Cognition. View
  4. Westerlund M, Sharma A. Green Innovations in Supply Chain Management. View
  5. Gestri L, Zelenko D, Soltani S, Maxwell D. Construction Applications of Virtual Reality, Volume 3. View

Books/Policy Documents

  1. Roe J. How to Use Generative AI in Educational Research. View

Conference Proceedings

  1. Beckman S, Patel K, Gu Q, Zhu S, Cui A, Yim J. 2024 IEEE Frontiers in Education Conference (FIE). Theme Work on Teamwork: Mapping Student Teaming Experiences in Design Projects View
  2. Samaradiwakara D, Jayalal S, Withanaarachchi A. 2025 5th International Conference on Advanced Research in Computing (ICARC). Enhancing Mobile Wallet Usability through Developer Guidelines: Addressing Challenges in the Sri Lankan Market View
  3. Kim D, Min Y, Jeong J, Han S, Hwang J, Jeong J. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. "Through the Looking Glass, and What We Found There": A Comprehensive Study of User Experiences with Pass-Through Devices in Everyday Activities View
  4. Sharma A, Wallace J. Proceedings of the 7th ACM Conference on Conversational User Interfaces. DeTAILS: Deep Thematic Analysis with Iterative LLM Support View
  5. Soprano M, Modha S, Roitero K, Maddalena E, Viviani M, Pasi G, Mizzaro S. Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR). AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews View