Author(s):
Randa Khirfan, Heba Kotb, Huda Atiyeh
Email(s):
rkhirfan@zu.edu.jo
DOI:
10.52711/0974-360X.2024.00714 
Address:
Randa Khirfan1, Heba Kotb2, Huda Atiyeh3
1Assistant Professor, Public Health Medicine, Nursing College, Zarqa University, Jordan.
2Associate Professor, Nursing Adminstration, Nursing College, Zarqa University, Jordan.
2Assistant Professor, Nursing Adminstration, Faculty of Nursing, Assiut University, Egypt.
3Assistant Professor, Nursing Administration, Nursing College, Zarqa University, Jordan.
*Corresponding Author
Published In:
Volume - 17,
Issue - 9,
Year - 2024
ABSTRACT:
Artificial intelligence (AI) technology represents a revolutionary change in the healthcare sector, providing creative answers to persistent problems. The goal of this study is to highlight how artificial intelligence includes a broad range of instruments and approaches, including machine-learning algorithms and natural language processing that have been used in numerous aspects of healthcare delivery and utilizing AI to raise patient security. This reviewed literature studies the evidence from literature concerning AI-driven systems facilitating rapid and accurate analysis of vast amounts of medical data, enhancing diagnostic processes, optimizing individualized treatment plans that facilitates and improves healthcare operations and efficiency. AI enable automating administrative processes, optimizing resource allocation, and streamlining workflows and upholding the strength and efficacy leading to transformation in the administration system. Based on a review of the literature, the research suggests the significant impact of AI on improving patient safety and provides a plan for overcoming obstacles, capitalizing on opportunities, and guiding the direction of AI-driven patient safety programs to revolutionize the healthcare system on a global scale.
Cite this article:
Randa Khirfan, Heba Kotb, Huda Atiyeh. Utilizing Artificial Intelligence to Improve Patient Safety: Innovations, Obstacles, and Future Paths. Research Journal of Pharmacy and Technology. 2024; 17(9):4630-6. doi: 10.52711/0974-360X.2024.00714
Cite(Electronic):
Randa Khirfan, Heba Kotb, Huda Atiyeh. Utilizing Artificial Intelligence to Improve Patient Safety: Innovations, Obstacles, and Future Paths. Research Journal of Pharmacy and Technology. 2024; 17(9):4630-6. doi: 10.52711/0974-360X.2024.00714 Available on: https://rjptonline.org/AbstractView.aspx?PID=2024-17-9-75
REFERENCES:
1. Bates, D. W., Landman, A., Levine, D. M., and Halamka, J. Harnessing AI in healthcare: Making medicine more precise, personalized, and patient-centered. NPJ Digital Medicine. 2021; 4(1): 1-6.
2. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature medicine. 2019; Jan; 25(1): 44-56.
3. Char DS, Shah NH, Magnus D. Implementing machine learning in health care—addressing ethical challenges. New England Journal of Medicine. 2018; Mar 15;378(11): 981-3.
4. Ramya KR. Application of Human Factors and Ergonomics in Improving Patient Safety Culture. International Journal of Advances in Nursing Management. 2017; 5(4): 367-71.
5. Patel AI, Khunti PK, Vyas AJ, Patel AB. Explicating artificial intelligence: Applications in medicine and pharmacy. Asian Journal of Pharmacy and Technology. 2022; 12(4): 401-6.
6. Patel SS, Shah SA. Artificial intelligence: Comprehensive overview and its pharma application. Asian Journal of Pharmacy and Technology. 2022; 12(4): 337-48.
7. Habeeba S. Use of artificial intelligence in drug discovery and its application in drug development.
8. World Health Organization. Patient safety incident reporting and learning systems: technical report and guidance.
9. James JT. A new, evidence-based estimate of patient harms associated with hospital care. Journal of Patient Safety. 2013; Sep 1; 9(3): 122-8.
10. Brown, A., Smith, B., and Lee, C. The importance of patient safety in healthcare systems. Journal of Healthcare Quality. 2021; 43(2): 87-95
11. Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. A guide to deep learning in healthcare. Nature Medicine. 2019; Jan; 25(1): 24-9.
12. Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. A guide to deep learning in healthcare. Nature Medicine. 2019; Jan; 25(1): 24-9.
13. 13.Slight SP, Seger DL, Nanji KC, Cho I, Maniam N, Dykes PC, Bates DW. Are we heeding the warning signs? Examining providers’ overrides of computerized drug-drug interaction alerts in primary care. PloS One. 2013; Dec 26; 8(12): e85071.
14. Sheikh A, Sood HS, Bates DW. Leveraging health information technology to achieve the “triple aim” of healthcare reform. Journal of the American Medical Informatics Association. 2015; Jul 1; 22(4): 849-56.
15. Rajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P. Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine. 2018; May 8; 1(1): 1-0.
16. 16.Celi LA, Cellini J, Charpignon ML, Dee EC, Dernoncourt F, Eber R, Mitchell WG, Moukheiber L, Schirmer J, Situ J, Paguio J. Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review. PLOS Digital Health. 2022; Mar 31; 1(3): e0000022.
17. Komorowski M, Celi LA, Badawi O, Gordon AC, Faisal AA. The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care. Nature Medicine. 2018; Nov; 24(11): 1716-20.
18. Berner, E. S., La Lande, T. J., and Kawamoto, K. Clinical decision support systems: A discussion of quality, safety, and legal liability considerations. Journal of Healthcare Risk Management. 2021; 41(2): 27-36.
19. Sharma A. Revolutionizing Patient Care: Artificial Intelligence Applications in Nursing. Asian Journal of Nursing Education and Research. 2024; Apr; 14(2): 110-2.
20. Londhe VP, Chanshetti R, Dhole SN. Past, Present and Future. Asian Journal of Pharmaceutical Research. 2024; Jun 1; 14(2).
21. Anand AK, Pereira RW, Shetty RD, Jain P, Supriya PS, Shetty S. Trigger tool-based detection of adverse drug reactions-A prospective observational study. Research Journal of Pharmacy and Technology. 2024; 17(5): 2339-44.
22. Sarwar, S., Dent, A., Faust, K., and Richesson, R. Leveraging big data for precision medicine: Challenges and opportunities. Journal of Medical Internet Research. 2020; 22(11): e20028.
23. Halamka, J., Tripathi, M., and Tanenblatt, M. The Health Insurance Portability and Accountability Act: Time for reform? Journal of the American Medical Association. 2018; 320(9): 857-858
24. Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019; Oct 25; 366(6464): 447-53.
25. Ratner A, Alistarh D, Alonso G, Andersen DG, Bailis P, Bird S, Carlini N, Catanzaro B, Chayes J, Chung E, Dally B. Mlsys: The new frontier of machine learning systems. arXiv Preprint arXiv:1904.03257. 2019 Mar 29.
26. Rajkomar A, Hardt M, Howell MD, Corrado G, Chin MH. Ensuring fairness in machine learning to advance health equity. Annals of Internal Medicine. 2018; Dec 18; 169(12): 866-72.
27. Wynia, M. K., Jarvis, S., and Johnson, D. M. Ethical considerations in the use of artificial intelligence in health care. AMA Journal of Ethics, 2020; 23(1): E47-53.
28. Kavuluru VK. Knowledge and Attitude of Nurse's on Patient safety: A Systematic Review. International Journal of Advances in Nursing Management. 2022; 10(2): 156-60.
29. Ramya KR. Nurses perception of patient safety culture in operating rooms. International Journal of Nursing Education and Research. 2017; 5(1): 59-64.
30. Hashish EA, Aljuaid WA, Almuzaini O. Saudi nursing students attitudes towards patient safety and the influencing factors. A quantitative and qualitative study at the college of nursing-jeddah. International Journal of Nursing Education and Research. 2020; 8(1): 53-66.
31. Anitha A, Revathi SV, Jeevanantham S, Godwin EE. Intrusion Detection System based on Artificial Intelligence. International Journal of Technology. 2017
32. Arora S. Frameworks for Secure Collaborative and Concurrent Editing. State University of New York at Albany; 2022.
33. Xu, Z., Wu, H., and Wu, J. Real-time infection prediction and monitoring of hospital-acquired infections through modeling of vital signs data streams. Journal of Biomedical Informatics. 2020; 109: 103526.
34. Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, Volk LA, Bates DW. Overrides of medication-related clinical decision support alerts in outpatients. Journal of the American Medical Informatics Association. 2014; May 1; 21(3): 487-91.
35. Mehta, N., Pandit, A., and Singh, M. Impact of artificial intelligence in healthcare: A systematic review. Journal of Clinical Medicine Research. 2019;11(7): 483-490
36. Braithwaite, J., Hibbert, P., Blakely, B., Plumb, J., and Wakefield, J. The COVID‐19 pandemic presents an opportunity to establish a learning health system. Journal of Evaluation in Clinical Practice. 2019; 26(6): 1899-1903.
37. Wade, D. T., Barrow, S., and Zhang, R. Use of wearables to assess patient safety during ambulation in hospital: A realist review. BMJ Quality and Safety. 2021; 30(1); 50-63.
38. Kairouz P, McMahan HB, Avent B, Bellet A, Bennis M, Bhagoji AN, Bonawitz K, Charles Z, Cormode G, Cummings R, D’Oliveira RG. Advances and open problems in federated learning. Foundations and Trends® in Machine Learning. 2021; Jun 22; 14(1–2): 1-210.
39. Weng, W. H., Bui, D. T., and Harlow, J. A systematic review of artificial intelligence for the diagnosis of breast cancer: The potential applications, challenges, and future directions. Journal of Oncology. 2021; 1-17.
40. Faden, R. R., Kass, N. E., and Goodman, S. N. Ethical and regulatory aspects of pragmatic randomized controlled trials in health care: The need for a new approach. New England Journal of Medicine. 2019; 370(8): 799-801.
41. Mahajan, S., Dave, H., Bothe, S., Mahpatra, D., Sonawane, S., Kshirsagar, S., and Chhajed, S. Objective Monitoring of Cardiovascular Biomarkers using Artificial Intelligence (AI). Asian Journal of Pharmaceutical Research. 2022; 12(3): 229-234.