Generative AI in Care Delivery and Patient Communication

Authors

  • Olivia Johnson Author

Keywords:

Generative Artificial Intelligence In Healthcare, Clinical Documentation Automation, Patient Engagement Systems, Automated Clinical Note Generation, Unstructured Medical Text Processing, Conversational AI In Healthcare, Clinical Workflow Efficiency, Health Literacy–Aware Content Generation, Patient Education Automation, Appointment Scheduling Systems, Intelligent Patient Triage, Healthcare AI Implementation, Clinical Standardization Templates, Data Governance In Healthcare AI, Ethical AI In Medicine, Bias And Risk Management, Adversarial AI Concerns, Compliance In Clinical Documentation, Real-World Healthcare AI Deployments, Human-Centered Clinical AI Systems.

Abstract

Generative AI systems—capable of producing coherent, contextually relevant text, images, and other media from prompt-based inputs—have grown rapidly more accessible in recent years. Their potential to improve patient care and clinician efficiency has drawn significant interest across the healthcare sector, particularly in enhancing clinical documentation and patient engagement. This paper examines these applications, focusing on the underlying technology, key implementation considerations for healthcare organizations, and case studies illustrating real-world deployment outcomes.

Specific use cases explored include the automated generation of clinical notes from free-text summaries, unstructured examination and assessment records, or conversational inputs; the structuring of free-text notes into standardized, code-based formats to support compliance; the creation of patient education materials tailored to varying health literacy levels and cultural contexts; and the use of Generative AI for appointment scheduling and patient query triage. Throughout, the paper highlights ethical considerations—particularly around data governance and the risk of biased, adversarial, or inaccurate outputs—and underscores the need for robust, well-maintained workflows to ensure the safe and effective use of Generative AI in clinical settings.

References

1. Ayers, J. W., Poliak, A., Dredze, M., Leas, E. C., Zhu, Z., Kelley, J. B., Faix, D. J., Goodman, A. M., Longhurst, C. A., Hogarth, M., & Smith, D. M. (2023). Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Internal Medicine, 183(6), 589–596.

2. Antel, R., Abbasgholizadeh-Rahimi, S., Guadagno, E., Harley, J. M., & Poenaru, D. (2022). The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review. Patient Education and Counseling, 105(10), 3038–3050.

3. Campbell, D. J., & Estephan, L. E. (2023). ChatGPT for patient education: An evolving investigation. Journal of Clinical Sleep Medicine, 19(12), 2135–2136.

4. Maguluri, K. K., Pandugula, C., Kalisetty, S., & Mallesham, G. (2022). Advancing Pain Medicine with AI and Neural Networks: Predictive Analytics and Personalized Treatment Plans for Chronic and Acute Pain Managements. Journal of Artificial Intelligence and Big Data, 2(1), 112-126.

5. Cascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023). Evaluating the feasibility of ChatGPT in healthcare: An analysis of multiple clinical and research scenarios. Journal of Medical Systems, 47, 33.

6. Dingler, T., Kwasnicka, D., Wei, J., & colleagues. (2021). The use and promise of conversational agents in digital health. Seminars in Nephrology, 30(1), 191–199.

7. Garg, R. K., Urs, V. L., Agarwal, A. A., Chaudhary, S. K., & colleagues. (2023). Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review. Health Promotion Perspectives, 13(3), 183–191.

8. Griffin, A. C., Xing, Z., Khairat, S., Wang, Y., Bailey, S., Arguello, J., & Chung, A. E. (2021). Conversational agents for chronic disease self-management: A systematic review. AMIA Annual Symposium Proceedings, 2020, 504–513.

9. Holtz, B., Nelson, V., & Poropatich, R. K. (2023). Artificial intelligence in health: Enhancing a return to patient-centered communication. Telemedicine and e-Health, 29(6), 795–797.

10. Kahambing, J. G. (2023). ChatGPT, public health communication and “intelligent patient companionship.” Journal of Public Health, 45(3), e590.

11. Pamisetty, A. (2022). Big Data can Generate Major Opportunities for Manufacturing Supply Chains. International Journal of Scientific Research and Modern Technology, 1(12), 238-251.

12. Khanbhai, M., Warren, L., Symons, J., Flott, K., Harrison-White, S., Manton, D., Darzi, A., & Mayer, E. (2022). Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care. International Journal of Medical Informatics, 157, 104642.

13. Krittanawong, C., Virk, H. U. H., Kaplin, S. L., Wang, Z., Sharma, S., & Jneid, H. (2023). Assessing the potential of ChatGPT for patient education in cardiac catheterization care. JACC: Cardiovascular Interventions, 16(12), 1551–1552.

14. Krittanawong, C., Rodriguez, M., Kaplin, S., & Tang, W. H. W. (2023). Assessing the potential of ChatGPT for patient education in the cardiology clinic. Progress in Cardiovascular Diseases, 81, 109–110.

15. Locke, S., Bashall, A., Al-Adely, S., Moore, J., Wilson, A., & Kitchen, G. B. (2021). Natural language processing in medicine: A review. Trends in Anaesthesia and Critical Care, 38, 4–9.

16. Liu, P. R., Lu, L., Zhang, J. Y., Huo, T. T., Liu, S. X., & Ye, Z. W. (2021). Application of artificial intelligence in medicine: An overview. Current Medical Science, 41, 1105–1115.

17. Parmar, P., Ryu, J., Pandya, S., Sedoc, J., & Agarwal, S. (2022). Health-focused conversational agents in person-centered care: A review of apps. npj Digital Medicine, 5, 21.

18. Lakkarasu, P., & Kalisetty, S. (2022). Hybrid Cloud and AI Integration for Scalable Data Engineering: Innovations in Enterprise AI Infrastructure. Math. Stat. Eng. Appl., 71(4), 16774-16784.

19. Sawad, A. B., Narayan, B., Alnefaie, A., Maqbool, A., McKie, I., Smith, J., Yuksel, B., Puthal, D., Prasad, M., & Kocaballi, A. B. (2022). A systematic review on healthcare artificial intelligent conversational agents for chronic conditions. Sensors, 22(7), 2625.

20. Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). The role of artificial intelligence in healthcare: A structured literature review. BMC Medical Informatics and Decision Making, 21, 125.

21. Shan, Y., Ji, M., Xie, W., Qian, X., Li, R., Zhang, X., & Hao, T. (2022). Language use in conversational agent-based health communication: Systematic review. Journal of Medical Internet Research, 24(7), e37403.

22. Shao, C., Li, H., Liu, X., Li, C., Yang, L., Zhang, Y., Luo, J., & Zhao, J. (2023). Appropriateness and comprehensiveness of using ChatGPT for perioperative patient education in thoracic surgery in different language contexts: Survey study. Interactive Journal of Medical Research, 12, e49233.

23. Mandala, G., Reddy, R., Nishanth, A., Yasmeen, Z., & Maguluri, K. K. (2023). Ai and ml in healthcare: redefining diagnostics, treatment, and personalized medicine. International Journal of Applied Engineering & Technology, 5(S6).

24. Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutierrez, L., Tan, T. F., & Ting, D. S. W. (2023). Large language models in medicine. Nature Medicine, 29, 1930–1940.

25. Tian, S., Jin, Q., Yeganova, L., Lai, P. T., Zhu, Q., Chen, X., Yang, Y., Chen, Q., Kim, W., Comeau, D. C., Islamaj, R., Kapoor, A., Gao, X., & Lu, Z. (2023). Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Briefings in Bioinformatics, 25(1), bbad493.

26. Veldhuizen, G. P., Wagner, S. J., & Kather, J. N. (2023). The future landscape of large language models in medicine. Communications Medicine, 3, 141.

27. Xu, L., Sanders, L., Li, K., & Chow, J. C. L. (2021). Chatbot for health care and oncology applications using artificial intelligence and machine learning: Systematic review. JMIR Cancer, 7(4), e27850.

28. Pamisetty, V. (2020). Optimizing Unclaimed Property Management through Cloud-Enabled AI and Integrated IT Infrastructures. Universal Journal of Finance and Economics, 1(1), 1-20.

29. Gabriel, J., Shafik, L., Alanbuki, A., & Larner, T. (2023). The utility of the ChatGPT artificial intelligence tool for patient education and enquiry in robotic radical prostatectomy. International Urology and Nephrology, 55(11), 2717–2732.

30. Nastasi, A. J., Courtright, K. R., Halpern, S. D., & Weissman, G. E. (2023). A vignette-based evaluation of ChatGPT’s ability to provide appropriate and equitable medical advice across care contexts. Scientific Reports, 13, 17885.

Additional Files

Published

2024-02-13

How to Cite

Generative AI in Care Delivery and Patient Communication. (2024). The American Online Journal of Science and Engineering (AOJSE), 2(01). https://aojse.org/index.php/aojse/article/view/60

Most read articles by the same author(s)

Similar Articles

51-60 of 60

You may also start an advanced similarity search for this article.