KAP Regarding ChatGPT Among Health Care Professionals: Correspondence

Am J Manag Care. 2025;31(2):e31. https://doi.org/10.37765/ajmc.2025.89680

We would like to discuss the article “Knowledge, Attitude, and Practices Regarding ChatGPT Among Health Care Professionals.”¹ Although important information can be gleaned from the authors’ analysis, there are several shortcomings that merit discussion.

First, although the study gathered quantitative knowledge, attitude, and practices (KAP) scores, it lacked qualitative information that would have provided an explanation for the attitudes and behaviors. Having more detailed information on health care professionals’ experiences with ChatGPT, particularly the circumstances in which they found it useful or troublesome, would provide a deeper context for the quantitative results.

Second, the possible influence of demographic factors on KAP results, such as age, competence, or prior exposure to technology, was not addressed. Subsequent research endeavors should investigate these characteristics to ascertain their impact on the attitudes and applications of artificial intelligence (AI) technologies among health care practitioners, as well as the moral ramifications of applying AI to health care, privacy, decision-making, and false information.

Third, the study’s exclusion of participants who were reluctant to use ChatGPT could have introduced bias. Their nonselection may have overlooked a significant group of health care professionals with strong objections or concerns about AI in the health care system, potentially skewing the results in a more favorable direction for ChatGPT. Examining barriers that prevent health care professionals from using AI tools such as ChatGPT could be important for understanding the broader acceptance and integration of AI in clinical contexts. Longitudinal studies that monitor changes in KAP over time could be a cornerstone of future strategies, especially as AI technologies advance and are increasingly incorporated into health care. Analyzing the success of educational initiatives to raise health care workers’ awareness of AI may yield useful information for raising their KAP scores.

Lastly, investigating the application of ChatGPT in actual clinical settings through pilot projects may offer insight into the advantages and difficulties associated with using ChatGPT. This research could help highlight the best ways to incorporate AI technologies into regular work processes so that medical practitioners can use technology to improve patient care rather than hinder access to it.

In conclusion, this study offers a foundational knowledge of KAP in relation to ChatGPT, but it also paves the way for deeper exploration of the ethical and human aspects of AI in health care.

Author Affiliations: Private academic consultant (HD), Phonhong, Lao People’s Democratic Republic; Department of Community Medicine, D.Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (VW), Pune, India.

Source of Funding: None.

Author Disclosures: The authors report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.

Authorship Information: Concept and design (HD, VW); acquisition of data (HD, VW); analysis and interpretation of data (HD); drafting of the manuscript (HD); critical revision of the manuscript for important intellectual content (HD, VW); and supervision (VW).

Address Correspondence to: Hinpetch Daungsupawong, PhD, Lak52, Phonhong, Laos 10000. Email: hinpetchdaung@gmail.com.

REFERENCE

1. Li Y, Li Z. Knowledge, attitude, and practices regarding ChatGPT among health care professionals. Am J Manag Care. 2024;30(9):e258-e265. doi:10.37765/ajmc.2024.89604