Postgraduate Students Perception of Using Chatgpt in Clinical Management and Research: A Qualitative Exploratory Study
Keywords:
ChatGPT, Qualitative, Postgraduate, Medical, ClinicalAbstract
OBJECTIVES
This study investigated how postgraduate residents see ChatGPT's function in clinical and research settings.
METHODOLOGY
May 1, 2024, to September 30, 2024, was the time frame for this research. Twelve postgraduate residents from three tertiary care institutions in Peshawar participated in a qualitative exploratory study. Semi-structured interviews were used to gather the data, and a thematic analysis was performed to determine the main topics.
RESULTS
While ChatGPT saved research time, study participants reported that it also generated issues with data privacy and information accuracy. Power users felt the instrument was easier to use, although there was a range of comfort levels. While its capabilities were promising, most participants worried that using AI to make clinical judgments was risky.
CONCLUSION
ChatGPT can be a helpful addition to research-based tasks, but like any other technology, it may be misused in clinical settings. This calls for better training and optimization standards, which must be addressed in our medical practice.
Downloads
Metrics
References
Thomae AV, Witt CM, Barth J. Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students' Perception, and Applications. JMIR Med Educ. 2024 August 22;10:e50545. doi: 10.2196/50545
Gilson A, Safranek CW, Huang T, et al. How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? the implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023 February 8;9:e45312. DOI: 10.2196/45312
Thurzo A, Strunga M, Urban R, Surovková J, Afrashtehfar KI. Impact of artificial intelligence on dental education: A review and guide for curriculum update. Educ Sci. 2023;13(2):101-15. doi: 10.3390/educsci13020150.
Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ. 2024;17(5):926–931. doi: 10.1002/ase.2270
Bonsu E, Baffour-Koduah D. Determining students' perception and intention to use ChatGPT in Ghanaian higher education. J Educ Soc Multicult. 2023;4(1):1-29. doi: 10.2478/jesm-2023-0001.
Arif T, Munaf U, Ul-Haque I. The future of medical education and research: Is ChatGPT a blessing or blight in disguise? Med Educ Online. 2023;28(1):2181052. doi: 10.1080/10872981.2023.2181052.
Kasneci E, Sessler K, Küchemann S, et al. ChatGPT for good? on opportunities and challenges of large language models for education. Learn Individ Differ. 2023 Apr;103:102274. DOI:10.1016/j.lindif.2023.102274
Bonsu E, Baffour-Koduah D. From the consumers' side: Determining students' perception and intention to use ChatGPT in Ghanaian higher education. J Educ Soc Multicult. 2023;4(1):1-29. doi: 10.2478/jesm-2023-0001.
Abd-Alrazaq A, AlSaad R, Alhuwail D, et al. Large language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ. 2023 June 1;9:e48291. DOI: 10.2196/48291
Mijwil MM, Aljanabi M, Ali AA. ChatGPT: Exploring the role of cybersecurity in the protection of medical information. Mesopotamian J Cybersecurity. 2023;5(1):30-45. doi: 10.58496/mjcs/2023/004.
Arif T, Munaf U, Ul-Haque I. The future of medical education and research: Is ChatGPT a blessing or blight in disguise? Med Educ Online. 2023;28(1):2181052. doi: 10.1080/10872981.2023.2181052.
Topol EJ. High-performance medicine: The convergence of human and artificial intelligence. Lancet. 2019;393(10173):85-91. doi: 10.1016/S0140-6736(18)30173-0.
Weidener L, Fischer M. Artificial intelligence teaching as part of medical education: qualitative analysis of expert interviews. JMIR Med Educ. 2023 April 24;9:e46428. doi: 10.2196/46428.
Weidener L, Fischer M. Artificial intelligence in medicine: cross-sectional study among medical students on application, education, and ethical aspects. JMIR Med Educ. 2024 Jan 5;10:e51247. doi: 10.2196/51247.
Pinto Dos Santos D, Giese D, Brodehl S, et al. Medical students' attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019 Apr;29(4):1640–1646. DOI: 10.1007/s00330-018-5601-1
Holderried F, Stegemann-Philipps C, Herschbach L, et al. A generative pretrained transformer (GPT)-powered chatbot as a simulated patient to practice history taking: prospective, mixed methods study. JMIR Med Educ. 2024 Jan 16;10:e53961. doi: 10.2196/53961.
Ayers JW, Poliak A, Dredze M, et al. Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Intern Med. 2023 Jun 1;183(6):589–596. doi: 10.1001/jamainternmed.2023.1838.
Topol EJ. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books; 2019. Available at: https://psnet.ahrq.gov/issue/deep-medicine-how-artificial-intelligence-can-make-healthcare-human-again
Hopkins AM, Logan JM, Kichenadasse G, Sorich MJ. Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift. JNCI Cancer Spectr. 2023 Mar 1;7(2):pkad010. DOI: 10.1093/jncics/pkad010
Jairoun AA, Al-Hemyari SS, Jairoun M, El-Dahiyat F. Readability, accuracy and comprehensibility of patient information leaflets: the missing pieces to the puzzle of problem-solving related to safety, efficacy and quality of medication use. Res Social Adm Pharm. 2022 Apr;18(4):2557–2558. DOI: 10.1016/j.sapharm.2021.10.005
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Muhammad Shah, Shimee Shahzadi, Shehzad Akbar Khan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
