Personalized Supply Chains in Pharmaceuticals

Personalized medicine is the concept of rendering targeted treatment to patients; that is, to tailor medicines as per the specific requirements of a particular patient. It focuses on offering healthcare that meets the unique needs of patients. However, its unique requirements also pose certain challenges to the pharmaceutical supply chains. There is a need for innovative solutions to optimize pharmaceutical logistics and to ensure an efficient delivery of personalized medicines. This paper explores the complexities of the personalized supply chain in pharmaceuticals. It also focuses on the logistical demands of personalized medicine and the impact of patient-specific treatment. The paper also examines the role of advanced digital transformative techniques in its logistics. The paper examines the role of artificial intelligence, machine learning, IoT, blockchain, and predictive analytics in pharmaceuticals. It also throws light on the challenges that the supply chains face in personalized medicine. The paper also explores the advantages of integrating digital technologies into the logistics of personalized medicine. Finally, the paper offers recommendations for future research to enhance the scalability of the supply chains in personalized medicine.