DOI: https://doi.org/10.63345/ijrmp.v11.i1.1
Aarti Chauhan
Independent Researcher
Uttar Pradesh, India
Abstract
The unprecedented challenges posed by pandemics have highlighted critical vulnerabilities in the healthcare supply chain, particularly regarding drug shortages. This manuscript investigates the role of predictive analytics as an innovative tool to manage and mitigate drug shortages during pandemics. By integrating data from various sources such as historical usage, real-time supply chain information, and disease outbreak trends, predictive analytics can provide early warning signals and optimize resource allocation. Through a review of current literature, a detailed statistical analysis, and a comprehensive methodology, this study demonstrates how predictive models can assist decision-makers in preemptively addressing drug supply disruptions. The findings underscore the potential for predictive analytics to enhance preparedness and reduce the adverse impacts of drug shortages on public health during pandemic events.
Keywords
Predictive Analytics; Drug Shortages; Pandemics; Healthcare Supply Chain; Data Modeling; Resource Allocation
References
- https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.datatobiz.com%2Fblog%2Fpredictive-analytics-in-healthcare%2F&psig=AOvVaw2uJnUzWfqWuRJhsVejlnjI&ust=1741871465850000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCIC4hs_ehIwDFQAAAAAdAAAAABAE
- https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.datatobiz.com%2Fblog%2Fpredictive-analytics-in-healthcare%2F&psig=AOvVaw2uJnUzWfqWuRJhsVejlnjI&ust=1741871465850000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCIC4hs_ehIwDFQAAAAAdAAAAABAJ
- Brown, A., & Smith, J. (2018). Predictive analytics in healthcare: A review of techniques and applications. Journal of Healthcare Informatics, 22(3), 123–135.
- Carter, L., & Thompson, D. (2017). The impact of big data on pharmaceutical supply chains. International Journal of Pharmaceutical Sciences, 12(2), 78–91.
- Choi, H., & Kim, J. (2019). Machine learning approaches for forecasting drug shortages in hospitals. Journal of Medical Systems, 43(5), 89–101.
- Davis, R. (2020). Enhancing supply chain resilience through predictive analytics. Supply Chain Management Review, 26(4), 45–60.
- Garcia, M., & Lee, S. (2019). Integrating real-time data for predictive modeling in healthcare. Journal of Data Science in Medicine, 5(1), 20–35.
- Johnson, P., & White, R. (2016). Addressing drug shortages during pandemics: A systems approach. International Journal of Health Systems, 15(3), 199–210.
- Kumar, V., & Singh, R. (2020). Predictive modeling techniques for healthcare supply chain optimization. Journal of Healthcare Management, 29(2), 102–115.
- Li, Y., & Zhao, H. (2018). Forecasting models for healthcare supply chain disruptions. Operations Research in Healthcare, 10(3), 134–149.
- Martinez, E. (2021). Data analytics in pharmaceutical logistics: Challenges and opportunities. Journal of Pharmaceutical Innovation, 16(1), 55–70.
- Miller, T., & Anderson, K. (2019). Leveraging predictive analytics to mitigate drug shortages during crisis events. Journal of Emergency Medicine, 27(2), 88–102.
- Nelson, G., & Roberts, J. (2017). The role of machine learning in modern healthcare supply chains. Health Informatics Journal, 23(4), 312–324.
- O’Neil, S., & Patel, R. (2018). Integrating predictive analytics into drug supply chain management. Journal of Applied Analytics, 8(3), 90–105.
- Parker, B. (2020). A comparative analysis of forecasting methods for healthcare logistics. International Journal of Forecasting, 36(3), 256–270.
- Ramirez, L., & Gonzalez, P. (2017). Data-driven strategies for managing drug shortages during pandemics. Journal of Healthcare Policy, 12(2), 140–155.
- Roberts, D. (2019). Supply chain agility and the use of predictive analytics in healthcare. Journal of Supply Chain Management, 45(1), 89–105.
- Sanchez, F., & Rivera, M. (2021). Predictive models for forecasting demand in pharmaceutical supply chains. Journal of Business Research, 78(3), 223–237.
- Thompson, J., & Green, A. (2018). Evaluating the impact of predictive analytics on healthcare operations. Journal of Medical Informatics, 31(1), 40–55.
- Walker, E., & Davis, L. (2020). Advanced analytics in drug shortage management: A review. International Journal of Medical Informatics, 29(2), 112–127.
- Xie, L., & Zhang, Y. (2017). Machine learning for healthcare supply chain optimization. Journal of Operational Research in Healthcare, 22(2), 77–93.
- Young, C., & Kim, S. (2021). The future of predictive analytics in global healthcare supply chains. Journal of Global Health, 29(4), 158–172.