Analyzing AI Applications in Improving Patient Experience: From Diagnosis to Recovery

Authors

  • Taha Muftah Abuali Department of Mechanical and Petroleum Engineering, Faculty of Technical Sciences, Bani Walid Libya. Author
  • Ragda Khaled Algamaty Fellow member, European Academy of Science and Development (EASD), Turkey Author

Keywords:

Artificial Intelligence, Healthcare, Patient Experience, Diagnosis, Treatment, Recovery, Operational Efficiency

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the healthcare industry, revolutionizing the patient experience from diagnosis to recovery. This research paper aims to provide a comprehensive analysis of the various AI applications that are enhancing patient care and outcomes. The study examines how AI is being utilized in areas such as disease diagnosis, treatment planning, patient monitoring, and administrative task automation. Through a detailed literature review of 21 recent research articles and industry reports, the paper highlights the benefits of AI-driven healthcare, including improved diagnostic accuracy, personalized treatment plans, enhanced patient safety, and streamlined operational efficiency. The findings demonstrate the pivotal role of AI in elevating the overall patient experience and driving positive healthcare outcomes. The paper concludes with a discussion of the challenges and future directions in the integration of AI within the healthcare ecosystem.

Downloads

Download data is not yet available.

Johnson, K. (2019). The Role of AI in Modern Healthcare. Eagle Gate College.

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., ... & Shetty, S. (2020). International evaluation of an AI system for breast cancer screening. Nature, 577(7788), 89-94.

Yanny, K. (2023). Stanford Medicine Scientists Create Algorithm to Better Understand, Treat Brain Tumors. Stanford Medicine News Center.

Choi, S. W., Jang, H., Jang, H., Lee, J. H., & Kang, H. J. (2022). Personalized antidepressant treatment prediction using machine learning. Translational Psychiatry, 12(1), 1-10.

McKinsey & Company. (2020). Automation in healthcare administrative tasks.

Kaiser Permanente. (2019). AI Model Predicts Sepsis Risk with High Accuracy.

DeepMind. (2018). Detecting eye diseases with AI.

Massachusetts General Hospital. (2022). AI Helps Identify Best Cancer Treatment Options.

Millennia. (2022). What Do AI Applications Look Like in Healthcare?

R Street Institute. (2023). AI and Public Health Series: How AI Can Advance Medical Knowledge and Improve the Patient Experience.]

Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature medicine, 25(1), 44-56.

Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94.

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.

Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning and health systems. Journal of global health, 8(2).

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94.

Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning and health systems. Journal of global health, 8(2).

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94.

Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning and health systems. Journal of global health, 8(2).

Downloads

Published

2025-07-29

Issue

Volume 1, No. 2, 2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Taha Muftah Abuali, & Ragda Khaled Algamaty. (2025). Analyzing AI Applications in Improving Patient Experience: From Diagnosis to Recovery. The Open European Journal for Research in Medical and Basic Sciences (OEJRMBS), 1(2), 36-47. https://easdjournals.com/index.php/oejrmbs/article/view/67