ChatGPT's Healing Words: Navigating the Frontiers of Conversational AI in Healthcare

Authors

  • Syed Muhammad Hassan Zaidi Department of Artificial Intelligence and Mathematical Sciences, Sindh Madressatul Islam University, Karachi, Pakistan
  • Abdul Hafeez Khan Department of Software Engineering, Sindh Madressatul Islam University, Karachi, Pakistan
  • Imtiaz Hassan Department of Artificial Intelligence and Mathematical Sciences, Sindh Madressatul Islam University, Karachi, Pakistan
  • Syeda Wajiha Naim Department of Software Engineering, Sindh Madressatul Islam University, Karachi, Pakistan

Keywords:

ChatGPT; Healthcare; Artificial Intelligence; Normal language handling; SWOT.

Abstract

This comprehensive review paper investigates the unique role of ChatGPT in medical healthcare, exploring its effect on patient engagement, clinical support, and healthcare communication by dissecting the strengths and weaknesses of ChatGPT in this domain. It highlights the potential to enhance patient care, streamlining administrative tasks to foster a more accessible healthcare experience. The paper navigates through real-world applications, shedding light on successful implementations, challenges, and potential ethical considerations. Additionally, we examine the evolving frontiers of conversational AI in healthcare, providing insights into prospects and avenues for further research. This exploration aims to showcase the current state of ChatGPT in healthcare and guide future developments in using conversational AI to improve patient outcomes and overall healthcare delivery. Further, to fully harness the benefits while minimizing the risks of ChatGPT in healthcare, it is essential for policymakers, healthcare organizations, and researchers to carefully evaluate the necessary ethical and regulatory frameworks. This paper serves as a foundation for future research and development by providing valuable insights into the advantages, disadvantages, opportunities, and risks of integrating ChatGPT into healthcare. By effectively utilizing conversational AI, we can improve patient outcomes and enhance overall healthcare services by improving patient care, expediting administrative duties and promoting accessibility.

Downloads

Download data is not yet available.

References

J. Berg, “Data in public health,” Science, pp. 669, 2017.

P. F. Edemekong, and S. Tenny, “Public Health,” StatPearls, 2023.

M.P. Cruz, E. Santos, M.V.Cervantes, Juárez MLJRCE, “COVID-19: A worldwide public health Emergency,” Revista Clínica Española, 221, pp. 55–61, 2020.

YJTC Times, “The future of public health,” New Eng J Med,.4, pp. 143, 2022.

Y. Zhao, L. Liu, Y. Qi, F, Lou, J. Zhang, et al., “Evaluation and design of public health information management system for primary health care units based on medical and health information,” J Infect Public Health, 13, pp. 491– 6, 2020.

Thiébaut R, Thiessard F. Public health and epidemiology informatics. Yearb Med Inform. 26, pp. 248–51, 2017.

M. Chen, M. Decary, “Artificial intelligence in healthcare: an essential guide for health leaders,” Healthc Manage Forum, 33, pp. 10–8, 2020.

K-H.Yu, A.L.Beam, ISJNbe. Kohane, “Artificial Intelligence in Healthcare,” 2, pp. 719– 31, 2018.

S. Secinaro, D. Calandra, A. Secinaro, V. Muthurangu, P. Biancone, “The role of artificial Intelligence in Healthcare: A structured literature review,” BMC Med Inform Dec Making, 21, pp. 1–23, 2021.

T. Panch, J. Pearson-Stuttard, F. Greaves, R. Atun, “Artificial Intelligence: opportunities and risks for public health,” Lancet Dig Health, 1, 2019.

D.V. Gunasekeran, R.M. Tseng, Tham YC, Wong TY. Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies. NPJ Dig Med. 4, pp. 40, 2021.

Jungwirth D, Haluza D. Artificial intelligence and public health: an exploratory study. Int J Environ Resublic Health. 20, pp. 4541, 2023.

Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare (Basel). 11, pp. 6, 2023

Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J Med Syst. 47, pp.33, 2023.

Basu R. Implementing Quality: A Practical Guide to Tools and Techniques: Enabling the Power of Operational Excellence. Cengage Learning EMEA. Toronto 2004.

Namugenyi C, Nimmagadda SL, Reiners T. Design of a SWOT analysis model and its evaluation in diverse digital business ecosystem contexts. Procedia Comput Sci. 159, pp.1145–54, 2019.

Kokol P, BlaŽun Vošner H, Završnik J. Application of bibliometrics in medicine: A historical bibliometrics analysis. Health Inform Lib J. 38, pp.125, 2021.

Xue VW, Lei P, Cho WC. The potential impact of ChatGPT in clinical and translational medicine. Clin Transl Med. (2023) 13:e1216. doi: 10.1002/ctm2.1216

Sallam M, Salim NA, Al-Tammemi AB, Barakat M, Fayyad D, Hallit S, et al. ChatGPT output regarding compulsory vaccination and COVID-19 vaccine conspiracy: a descriptive study at the outset of a paradigm shift in online search for information. Cureus. (2023) 15:e35029. doi: 10.7759/cureus.35029

Baclic O, Tunis M, Young K, Doan C, Swerdfeger H, Schonfeld J. Artificial intelligence in public health: Challenges and opportunities for public health made possible by advances in natural language processing. Cana Commun Dis Report. (2020) 46:161. doi: 10.14745/ccdr.v46i06a02

Thirunavukarasu AJ, Hassan R, Mahmood S, Sanghera R, Barzangi K, El Mukashfi M, et al. Trialling a large language model (ChatGPT) in general practice with the applied knowledge test. Observ Study Demonstr Opp Limit Primary Care. (2023) 9:e46599. doi: 10.2196/46599

Biswas SS. Role of Chat GPT in Public health. Ann Biomed Eng. (2023). doi: 10.1007/s10439-023-03172-7

Komorowski M. del Pilar Arias López M, Chang ACJICM. Komorowski M, del Pilar Arias López M, Chang AC. How could ChatGPT impact my practice as an intensivist? An overview of potential applications, risks and limitations. Inten Care Med. (2023) 4:1–4. doi: 10.1007/s00134-023-07096-7

Panda, S., & Kaur, N. (2023). Exploring the viability of ChatGPT as an alternative to traditional chatbot systems in library and information centers. Library hi tech news, 40(3), 22

George, A. S., George, A. S. H., Baskar, T., & Martin, A. S. G. (2023). Human Insight AI: An Innovative Technology Bridging The Gap Between Humans And Machines For a Safe, Sustainable Future. Partners universal international Research Journal, 2(1), 1–15.

Arslan, S. (2023). Exploring the potential of Chat GPT in personalized obesity treatment. Annals of biomedical engineering, 51, 1887–1888.

Hoffmann, C. H., & Hahn, B. (2020). Decentered ethics in the machine era and guidance for AI regulation. AI & society, 35, 635–644.

Jadczyk, T., Wojakowski, W., Tendera, M., Henry, T. D., Egnaczyk, G., & Shreenivas, S. (2021).Artificial intelligence can improve patient management at the time of a pandemic: the role of voice technology. Journal of medical internet research, 23(5), e22959. https://www.jmir.org/2021/5/e22959/

Roisenzvit, A. B. (2023). From Euclidean distance to spatial classification: unraveling the technology behind GPT models. https://ucema.edu.ar/sites/default/files/2023-04/853.pdf

Published

2024-12-29

How to Cite

Hassan Zaidi, S. M. ., Khan, A. H. ., Hassan, I. ., & Naim, S. W. . (2024). ChatGPT’s Healing Words: Navigating the Frontiers of Conversational AI in Healthcare. Journal of Information Systems Research and Practice, 2(5), 2–9. Retrieved from https://adab.um.edu.my/index.php/JISRP/article/view/57833