Communication Competencies for Pharmacy Students in the AI Era: Challenges, Opportunities, and Implications

Authors

Azyyati Mohd Suhaimi

School of Pharmacy, Management and Science University, Section 13, 40000 Shah Alam, Selangor, Malaysia (Malaysia)

Nor Hayati Abu Samah

Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam Campus, 42300 Puncak Alam, Selangor, Malaysia (Malaysia)

Puteri Juanita Zamri

Faculty of Pharmacy, Universiti Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.1026EDU0470

Subject Category: Education

Volume/Issue: 10/26 | Page No: 6404-6414

Publication Timeline

Submitted: 2026-07-15

Accepted: 2026-07-20

Published: 2026-07-30

Abstract

The rapid adoption of generative artificial intelligence (AI) is transforming higher education and reshaping how students acquire, process, and communicate knowledge. In pharmacy education, effective communication is a core professional competency that requires the integration of scientific knowledge, clinical reasoning, and patient-centred communication. This paper examines how AI technologies, particularly Large Language Models such as ChatGPT and Gemini, are influencing communication competencies among pharmacy students and explores the educational implications of their growing use. Through a critical review of contemporary literature, the paper discusses the evolving nature of digital literacy, whereby students are increasingly required not only to retrieve information but also to interact with AI systems, formulate effective prompts, and critically evaluate generated content. The review highlights several challenges associated with AI-assisted learning, including cognitive offloading, overreliance on automated outputs, diminished self-regulated learning, and the potential erosion of critical thinking and clinical reasoning skills. Particular attention is given to the AI-translation paradox, in which AI-generated explanations may improve readability yet inadvertently compromise scientific accuracy, creating risks in healthcare communication. The paper also considers concerns related to academic integrity, authorship, and the reliability of AI-generated information, including the propagation of hallucinated or misleading content. In addition, disparities in institutional readiness and technological resources may contribute to unequal learning opportunities among students across higher education institutions. While AI offers significant opportunities to enhance writing, information synthesis, and communication training, its integration must be guided by sound pedagogical principles. Pharmacy curricula should therefore promote AI literacy, evaluation skills, reflective learning, and authentic assessment approaches that preserve independent thinking and professional judgement. Ultimately, generative AI should be viewed as a complementary educational tool rather than a substitute for human expertise, enabling future pharmacists to harness technological innovation while maintaining the communication competencies necessary for safe, ethical, and effective patient care.

Keywords

Artificial intelligence; Pharmacy education; Communication competencies; Digital literacy; Generative AI.

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References

1. Abbas, M., Jam, F. A., & Khan, T. I. (2024). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00444-7 [Google Scholar] [Crossref]

2. Alamäki, A., Nyberg, C., Kimberley, A., & Salonen, A. O. (2024). Artificial intelligence literacy in sustainable development: A learning experiment in higher education. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1343406 [Google Scholar] [Crossref]

3. Alexander, K. M., Jorgensen, E. O., Rowe, C., & Nguyen, K. (2025). Pharmacy Students’ Perspectives on Integrating Generative AI into Pharmacy Education. Pharmacy, 13(6). https://doi.org/10.3390/pharmacy13060183 [Google Scholar] [Crossref]

4. Allam, H. M., Gyamfi, B., & AlOmar, B. (2025). Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education. In Education Sciences (Vol. 15, Number 4). https://doi.org/10.3390/educsci15040398 [Google Scholar] [Crossref]

5. Babayev, J. (2025). Algorithmic Autonomy or Dependence? A Mixed-Methods Study on AI Personalization and Self-Regulated Learning in Higher Education. Journal of Azerbaijan Language and Education Studies, 2(4). https://doi.org/10.69760/jales.2025004002 [Google Scholar] [Crossref]

6. Barkhuizen, G. (2014). Narrative research in language teaching and learning. In Language Teaching (Vol. 47, Number 4). https://doi.org/10.1017/S0261444814000172 [Google Scholar] [Crossref]

7. Cain, J., Malcom, D. R., & Aungst, T. D. (2023). The Role of Artificial Intelligence in the Future of Pharmacy Education. In American Journal of Pharmaceutical Education (Vol. 87, Number 10). https://doi.org/10.1016/j.ajpe.2023.100135 [Google Scholar] [Crossref]

8. Chalasani, S. H., Syed, J., Ramesh, M., Patil, V., & Pramod Kumar, T. M. (2023). Artificial intelligence in the field of pharmacy practice: A literature review. In Exploratory Research in Clinical and Social Pharmacy (Vol. 12). https://doi.org/10.1016/j.rcsop.2023.100346 [Google Scholar] [Crossref]

9. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8 [Google Scholar] [Crossref]

10. Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6. https://doi.org/10.1016/j.caeo.2024.100171 [Google Scholar] [Crossref]

11. Daher, R. (2025). Integrating AI literacy into teacher education: a critical perspective paper. Discover Artificial Intelligence, 5(1). https://doi.org/10.1007/s44163-025-00475-7 [Google Scholar] [Crossref]

12. Diab Idris, M., Feng, X., & Dyo, V. (2024). Revolutionizing Higher Education: Unleashing the Potential of Large Language Models for Strategic Transformation. IEEE Access, 12. https://doi.org/10.1109/ACCESS.2024.3400164 [Google Scholar] [Crossref]

13. Durratul Hikmah, & Badilatil Walida. (2024). The Role of ChatGPT in Enhancing Students’ Critical Thinking in Academic Writing. Ethical Lingua: Journal of Language Teaching and Literature, 11(2). https://doi.org/10.30605/25409190.780 [Google Scholar] [Crossref]

14. Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2025). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 56(2). https://doi.org/10.1111/bjet.13544 [Google Scholar] [Crossref]

15. Faust, A., & Mayweg-Paus, E. (2024). Empowering Tomorrow’s Minds: A Comprehensive Framework for Teaching Non-Technical Students to Think Critically about AI. In Artificial Intelligence Applications in Higher Education: Theories, Ethics, and Case Studies for Universities. https://doi.org/10.4324/9781003440178-5 [Google Scholar] [Crossref]

16. Franco D’Souza, R., Mathew, M., Mishra, V., & Surapaneni, K. M. (2024). Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education. In Medical Education Online (Vol. 29, Number 1). https://doi.org/10.1080/10872981.2024.2330250 [Google Scholar] [Crossref]

17. Fry, L., Nyamweya, N., Euston, J., Leliaert, I., Allgood, K., Ellspermann, S., Alexandru Timis, D., Amitabh, U., Ansari, A., Li Haoyang, D., & Towne, J. (2025). How AI and human teachers can collaborate to transform education. World Economic Forum. [Google Scholar] [Crossref]

18. Greengrass, C. J. (2026). Transforming clinical reasoning—the role of AI in supporting human cognitive limitations. Frontiers in Digital Health, 7. https://doi.org/10.3389/fdgth.2025.1715440 [Google Scholar] [Crossref]

19. Halford, Z., & Heitz, N. (2026). A multi-cohort evaluation of a curriculum-aligned, oncology-focused chatbot in pharmacy education. Currents in Pharmacy Teaching and Learning, 18(8), 102659. https://doi.org/10.1016/J.CPTL.2026.102659 [Google Scholar] [Crossref]

20. Jin, L., Shen, Z., Alhur, A. A., & Naeem, S. Bin. (2025). Exploring the determinants and effects of artificial intelligence (AI) hallucination exposure on generative AI adoption in healthcare. Information Development. https://doi.org/10.1177/02666669251340954 [Google Scholar] [Crossref]

21. Jošt, G., Taneski, V., & Karakatič, S. (2024). The Impact of Large Language Models on Programming Education and Student Learning Outcomes. Applied Sciences (Switzerland), 14(10). https://doi.org/10.3390/app14104115 [Google Scholar] [Crossref]

22. Koć-Januchta, M. M., Schönborn, K. J., Roehrig, C., Chaudhri, V. K., Tibell, L. A. E., & Heller, H. C. (2022). “Connecting concepts helps put main ideas together”: cognitive load and usability in learning biology with an AI-enriched textbook. International Journal of Educational Technology in Higher Education, 19(1). https://doi.org/10.1186/s41239-021-00317-3 [Google Scholar] [Crossref]

23. Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. In Computers and Education: Artificial Intelligence (Vol. 3). https://doi.org/10.1016/j.caeai.2022.100101 [Google Scholar] [Crossref]

24. Li, S., Liu, J., & Dong, Q. (2025). Generative artificial intelligence-supported programming education: Effects on learning performance, self-efficacy and processes. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.9932 [Google Scholar] [Crossref]

25. Liu, W., & Wang, Y. (2024). The Effects of Using AI Tools on Critical Thinking in English Literature Classes Among EFL Learners: An Intervention Study. European Journal of Education, 59(4). https://doi.org/10.1111/ejed.12804 [Google Scholar] [Crossref]

26. Maurya, R. K. (2024). A qualitative content analysis of ChatGPT’s client simulation role-play for practising counselling skills. Counselling and Psychotherapy Research, 24(2). https://doi.org/10.1002/capr.12699 [Google Scholar] [Crossref]

27. Namazi, H., & Radfar, M. M. (2025). Philosophy of medicine meets AI hallucination and AI drift: moving toward a more gentle medicine. Journal of Medical Ethics and History of Medicine, 18. https://doi.org/10.18502/jmehm.v18i2.18812 [Google Scholar] [Crossref]

28. Naseer, F., Khan, M. N., Tahir, M., Addas, A., & Aejaz, S. M. H. (2024). Integrating deep learning techniques for personalized learning pathways in higher education. Heliyon, 10(11). https://doi.org/10.1016/j.heliyon.2024.e32628 [Google Scholar] [Crossref]

29. Ndungu, M. W. (2024). Integrating basic artificial intelligence literacy into media and information literacy programs in higher education: A framework for librarians and educators. Journal of Information Literacy, 18(2). https://doi.org/10.11645/18.2.641 [Google Scholar] [Crossref]

30. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100041 [Google Scholar] [Crossref]

31. Ogbuagu, O. O., Mbata, A. O., Balogun, O. D., Oladapo, O., Ojo, O. O., & Muonde, M. (2023). Artificial intelligence in clinical pharmacy: enhancing drug safety, adherence, and patient-centered care. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1). https://doi.org/10.54660/.ijmrge.2023.4.1-814-822 [Google Scholar] [Crossref]

32. Öncü, S., Torun, F., & Ülkü, H. H. (2025). AI-powered standardised patients: evaluating ChatGPT-4o’s impact on clinical case management in intern physicians. BMC Medical Education, 25(1). https://doi.org/10.1186/s12909-025-06877-6 [Google Scholar] [Crossref]

33. Pak, R., Rovira, E., & McLaughlin, A. (2025). Polite AI mitigates user susceptibility to AI hallucinations. Ergonomics, 68(10). https://doi.org/10.1080/00140139.2024.2434604 [Google Scholar] [Crossref]

34. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and Self-Regulated Learning Components of Classroom Academic Performance. Journal of Educational Psychology, 82(1). https://doi.org/10.1037/0022-0663.82.1.33 [Google Scholar] [Crossref]

35. Purushottam Ashtikar, S., Manoharan, G., & Muppidi, S. (2025). Navigating Education in the Age of Generative AI. LatIA, 3. https://doi.org/10.62486/latia2025327 [Google Scholar] [Crossref]

36. Rasul, T., Nair, S., Kalendra, D., Robin, M., Santini, F. de O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.29 [Google Scholar] [Crossref]

37. Raza, M. A., Aziz, S., Noreen, M., Saeed, A., Anjum, I., Ahmed, M., & Raza, S. M. (2022). Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations. INNOVATIONS in Pharmacy, 13(2). https://doi.org/10.24926/iip.v13i2.4839 [Google Scholar] [Crossref]

38. Risko, E. F., & Gilbert, S. J. (2016). Cognitive Offloading. In Trends in Cognitive Sciences (Vol. 20, Number 9). https://doi.org/10.1016/j.tics.2016.07.002 [Google Scholar] [Crossref]

39. Rodgers, P. T., Li, X., Morbitzer, K. A., Fuller, K. A., Kane-Gill, S. L., Ruby, C. M., McLaughlin, J. E., Stepanovic, M., & Noel, Z. R. (2026). How-To Strategies for Integrating Generative Artificial Intelligence (GenAI) Into Pharmacy Education Teaching and Learning Activities. JACCP: Journal of the American College of Clinical Pharmacy, 9(7). https://doi.org/10.1002/jac5.70257 [Google Scholar] [Crossref]

40. Roosan, D., Padua, P., Khan, R., Khan, H., Verzosa, C., & Wu, Y. (2024). Effectiveness of ChatGPT in clinical pharmacy and the role of artificial intelligence in medication therapy management. Journal of the American Pharmacists Association, 64(2). https://doi.org/10.1016/j.japh.2023.11.023 [Google Scholar] [Crossref]

41. Santos, Y. T. P. (2024). Media and Information Literacy for All: An Analysis of the Content and Pedagogy in a University-Level Course. International Information and Library Review, 56(3). https://doi.org/10.1080/10572317.2024.2342211 [Google Scholar] [Crossref]

42. Schunk, D. H., & Greene, J. A. (2017). Handbook of Self-Regulation of Learning and Performance, Second Edition. In Handbook of Self-Regulation of Learning and Performance, Second Edition. https://doi.org/10.4324/9781315697048 [Google Scholar] [Crossref]

43. Skulmowski, A. (2023). The Cognitive Architecture of Digital Externalization. In Educational Psychology Review (Vol. 35, Number 4). https://doi.org/10.1007/s10648-023-09818-1 [Google Scholar] [Crossref]

44. Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333(6043). https://doi.org/10.1126/science.1207745 [Google Scholar] [Crossref]

45. Subaveerapandiyan, A., Mvula, D., Ahmad, N., Taj, A., & Ahmed, M. G. (2024). Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice. Journal of Health Organization and Management. https://doi.org/10.1108/JHOM-04-2024-0154 [Google Scholar] [Crossref]

46. Suhaimi, A. M. (2017). Pharmacy Graduates’ Chronicle in Malaysia: Balancing Cgpa and Soft Skills. Asian Journal of University Education (AJUE), 13(2). [Google Scholar] [Crossref]

47. Suhaimi, A. M. (2024). Prescription for Influence - Pharmacy’s Digital Trailblazers. In Malaysian Journal of Medicine and Health Sciences (Vol. 20, Number 6). https://doi.org/10.47836/mjmhs.20.6.44 [Google Scholar] [Crossref]

48. Tamanna Sharma, Abhinav Mankoo, & Vivek Sood. (2021). Artificial intelligence in advanced pharmacy. International Journal of Science and Research Archive, 2(1). https://doi.org/10.30574/ijsra.2021.2.1.0301 [Google Scholar] [Crossref]

49. Tilton, A. K., Caplan, B. E., & Cole, B. J. (2025). Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework. In Frontiers in Digital Health (Vol. 7). https://doi.org/10.3389/fdgth.2025.1616488 [Google Scholar] [Crossref]

50. Tran, T., Le, U., & Phan, V. (2025). Evaluating the Accuracy and Educational Potential of Generative AI Models in Pharmacy Education: A Comparative Analysis of ChatGPT and Gemini Across Bloom’s Taxonomy. Pharmacy, 14(1). https://doi.org/10.3390/pharmacy14010001 [Google Scholar] [Crossref]

51. Weidmann, A. E. (2024). Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities. In International Journal of Clinical Pharmacy (Vol. 46, Number 3). https://doi.org/10.1007/s11096-024-01705-1 [Google Scholar] [Crossref]

52. Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of Self-Regulation. [Google Scholar] [Crossref]

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