Role of Artificial Intelligence in Pharmacy Practice: A Systematic Review

This systematic review explores the evolving role of artificial intelligence (AI) in addressing challenges faced by the pharmaceutical industry, focusing on supply chain disruptions, clinical trials, drug discovery, and clinical trial operations. A comprehensive literature analysis encompassed studies and developments in AI applications within the pharmaceutical sector. The review synthesizes information from various sources, including research articles, reports, and case studies. The pharmaceutical industry has encountered multifaceted challenges, including supply chain disruptions, clinical trial interruptions, and difficulties in drug development. AI emerges as a transformative solution, particularly in supply chain management, clinical trial optimization, drug discovery, and clinical trial operations. Integrating AI models, such as supervised and unsupervised learning, plays a pivotal role in predictive analytics, drug target identification, and optimization of pharmaceutical processes.

The systematic review underscores the transformative impact of AI on pharmacy practice, offering innovative solutions to address challenges in the pharmaceutical industry. The findings suggest that AI applications have the potential to revolutionize supply chain management, streamline clinical trial operations, and expedite drug discovery processes. Continued research and development in AI technologies are essential for optimizing these applications and ensuring their widespread adoption in pharmacy practice.

1. Ranchon F, Chanoine S, Lambert-Lacroix S, Bosson JL, Moreau-Gaudry A, Bedouch P. Development of artificial intelligence powered apps and tools for clinical pharmacy services: A systematic review. Int J Med Inform. 2023;172:104983.
2. Del Rio-Bermudez C, Medrano IH, Yebes L, Poveda JL. Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy. J Pharm Policy Pract. 2020;13(1):75. 
3. Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, et al. Revolutionizing healthcare: The role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1):689.
4. Kulkov I. The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technol Soc. 2021;66:101629.
5. Roosan D, Wu Y, Tatla V, Li Y, Kugler A, Chok J, et al. Framework to enable pharmacist access to health care data using Blockchain technology and artificial intelligence. J Am Pharm Assoc. 2022;62(4):1124-32. 
6. Vora LK, Gholap AD, Jetha K, Thakur RRS, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics. 2023;15(7):1916.
7. Khatib MM, Ahmed G. Robotic pharmacies potential and limitations of artificial intelligence: A case study. Int J Bus Innov Res. 2020;23(3):298-312.
8. Struble TJ, Alvarez JC, Brown SP, Chytil M, Cisar J, DesJarlais RL, et al. Current and future roles of artificial intelligence in medicinal chemistry synthesis. J Med Chem. 2020;63(16):8667-82. 
9. Baines D, Nørgaard LS, Babar ZU, Rossing C. The fourth industrial revolution: Will it change pharmacy practice? Res Social Adm Pharm. 2020;16(9):1279-81. 
10. Trenfield SJ, Awad A, McCoubrey LE, Elbadawi M, Goyanes A, Gaisford S, et al. Advancing pharmacy and healthcare with virtual digital technologies. Adv Drug Deliv Rev. 2022;182:114098.
11. Kolluri S, Lin J, Liu R, Zhang Y, Zhang W. Machine learning and artificial intelligence in pharmaceutical research and development: A Review. AAPS J. 2022;24(1):19. 
12. Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development. Drug Discov Today. 2021;26(1):80-93. 
13. Choudhury A, Asan O. Role of artificial intelligence in patient safety outcomes: Systematic literature review. JMIR Med Inform. 2020;8(7):e18599.
14. Kaplan A, Cao H, FitzGerald JM, Iannotti N, Yang E, Kocks JWH, et al. Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis. J Allergy Clin Immunol Pract. 2021;9(6):2255-61. 
15. Eaneff S, Obermeyer Z, Butte AJ. The case for algorithmic stewardship for artificial intelligence and machine learning technologies. JAMA. 2020;324(14):1397-8. 
16. Shuaib A, Arian H, Shuaib A. The increasing role of artificial intelligence in health care: Will robots replace doctors in the future? Int J Gen Med. 2020;13:891-6.
17. Angehrn Z, Haldna L, Zandvliet AS, Gil Berglund E, Zeeuw J, Amzal B, et al. Artificial intelligence and machine learning applied at the point of care. Front Pharmacol. 2020;11:759.
18. Rezaei M, Rahmani E, Khouzani SJ, Rahmannia M, Ghadirzadeh E, Bashghareh P, et al. Role of artificial intelligence in the diagnosis and treatment of diseases. Kindle. 2023;3(1):1-60.
19. van der Lee M, Swen JJ. Artificial intelligence in pharmacology research and practice. Clin Transl Sci. 2023;16(1):31-6. 
20. Selvaraj C, Chandra I, Singh SK. Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries. Mol Divers. 2022;26(3):1893-913. 
21. Huysentruyt K, Kjoersvik O, Dobracki P, Savage E, Mishalov E, Cherry M, et al. Validating intelligent automation systems in pharmacovigilance: Insights from good manufacturing practices. Drug Saf. 2021;44(3):261-72. 
22. Elbadawi M, McCoubrey LE, Gavins FKH, Ong JJ, Goyanes A, Gaisford S, et al. Harnessing artificial intelligence for the next generation of 3D printed medicines. Adv Drug Deliv Rev. 2021;175:113805.
23. Shaheen MY. Applications of artificial intelligence (AI) in healthcare: A review. ScienceOpen Preprints. 2021.
24. Liu Z, Wu Z, Hu M, Zhao B, Zhao L, Zhang T, et al. Pharmacygpt: The ai pharmacist. arXiv preprint arXiv:2307.10432. 2023.
25. Zhavoronkov A, Vanhaelen Q, Oprea TI. Will artificial intelligence for drug discovery impact clinical pharmacology? Clin Pharmacol Ther. 2020;107(4):780-5. 
26. Lou B, Wu L. AI on drugs: Can artificial intelligence accelerate drug development? Evidence from a large-scale examination of bio-pharma firms. Evidence from a Large-scale Examination of Bio-pharma Firms, (March 15, 2021). MISQ Forthcoming. 2021.
27. Lee D, Yoon SN. Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. Int J Environ Res Public Health. 2021;18(1):271. 
28. Aggarwal N, Ahmed M, Basu S, Curtin JJ, Evans BJ, Matheny ME, et al. Advancing artificial intelligence in health settings outside the hospital and clinic. NAM Perspect. 2020;2020. 
29. Wani SUD, Khan NA, Thakur G, Gautam SP, Ali M, Alam P, et al. Utilization of artificial intelligence in disease prevention: Diagnosis, treatment, and implications for the healthcare workforce. Healthcare (Basel). 2022;10(4):608.