AI-Driven Decision-Making in Pharmaceutical Business Operations

DOI: https://doi.org/10.63345/ijrmp.org.v9.i10.1

Divya Iyer

Independent Researcher

Kerela, India

Abstract

The pharmaceutical industry has witnessed transformative changes over the past decade, largely influenced by the rapid development and integration of artificial intelligence (AI). This manuscript examines how AI-driven decision-making systems are reshaping business operations in the pharmaceutical sector. The study reviews the evolution of AI applications up to 2019, investigates statistical trends and outcomes associated with AI adoption, and evaluates the methodologies used to integrate AI into business processes. Using a robust analytical framework and statistical comparisons, this research demonstrates that AI not only enhances operational efficiencies but also significantly improves data-driven decision-making processes. Our findings reveal improvements in forecasting accuracy, reduction in operational costs, and enhanced patient outcomes. The paper concludes with a discussion on the scope, limitations, and future prospects of AI-driven strategies in pharmaceutical operations.

Keywords

Artificial Intelligence, Decision-Making, Pharmaceutical Industry, Business Operations, Data Analytics, Operational Efficiency, AI Integration, Predictive Analytics.

References

• https://www.google.com/url?sa=i&url=https%3A%2F%2Fappinventiv.com%2Fblog%2Fai-in-pharmaceutical-industry%2F&psig=AOvVaw11Nl-nPVbIPjPpVK8_k9rd&ust=1740749941911000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCKiEx4v944sDFQAAAAAdAAAAABAE
• Agrawal, A., Gans, J., & Goldfarb, A. (2018). Economic implications of artificial intelligence. Journal of Economic Perspectives, 32(3), 31–50.
• Anderson, R., & Thompson, L. (2017). Machine learning in pharmaceutical research: Opportunities and challenges. Pharmaceutical Technology, 41(8), 22–30.
• Brown, D., Carter, L., & Evans, R. (2016). AI-driven predictive analytics in drug discovery. Journal of Pharmaceutical Sciences, 105(6), 1503–1510.
• Chen, Y., Li, H., & Zhang, M. (2015). Optimizing supply chain management in the pharmaceutical industry using artificial intelligence. Journal of Operations Management, 33(2), 170–182.
• Davis, S., & Lee, H. (2019). The integration of artificial intelligence in clinical trials: A review. Clinical Trials Journal, 14(1), 1–12.
• Gupta, P., & Kumar, S. (2018). Artificial intelligence in drug development: A review. International Journal of Drug Development, 10(4), 233–244.
• Harris, M., & Nguyen, T. (2017). Big data and AI in pharmaceutical business operations. Journal of Business Analytics, 4(2), 89–104.
• Jackson, P. (2016). Decision-making in the pharmaceutical sector: The impact of artificial intelligence. Journal of Management in Healthcare, 22(3), 205–220.
• Kumar, R., & Sharma, V. (2015). Enhancing clinical outcomes through machine learning. Journal of Medical Informatics, 9(3), 150–160.
• Lee, J., & Park, C. (2018). Applications of artificial intelligence in personalized medicine. Journal of Personalized Medicine, 8(4), 45–55.
• Liu, W., Zhao, F., & Kim, S. (2017). Machine learning techniques for predicting drug efficacy. Drug Discovery Today, 22(6), 912–918.
• Martin, S., & Evans, J. (2016). AI in operational decision-making within pharmaceuticals. Journal of Pharmaceutical Management, 18(2), 115–130.
• O’Reilly, F., & Williams, K. (2019). Ethical considerations in AI-driven healthcare. Ethics in Medicine, 12(1), 34–47.
• Patel, R., & Singh, A. (2018). Data analytics and artificial intelligence in pharmaceutical supply chains. International Journal of Supply Chain Management, 7(3), 140–155.
• Rodriguez, M., & Garcia, P. (2017). Applications of AI in clinical trial design. Journal of Clinical Research, 13(2), 77–89.
• Smith, J., & Johnson, K. (2017). The role of artificial intelligence in drug discovery. Journal of Pharmaceutical Innovation, 12(3), 45–56.
• Taylor, E., & Brown, L. (2016). Artificial intelligence in market forecasting for pharmaceuticals. Journal of Business Forecasting, 10(1), 22–34.
• Wang, H., Chen, Z., & Li, Q. (2015). Predictive analytics and AI in the pharmaceutical industry. Journal of Big Data in Pharma, 4(1), 11–19.
• White, R., & Black, S. (2018). Integrating artificial intelligence into pharmaceutical operations. Journal of Healthcare Technology, 14(2), 88–99.
• Zhang, Y., & Li, X. (2019). Opportunities and challenges of AI in personalized medicine. Journal of Biomedical Informatics, 15(3), 202–215.