Issues and Future Trends in the Application of Machine Learning on E-Healthcare Supply Chain Management

The practice of purchasing necessary medical supplies and equipment, keeping important pharmaceuticals in storage, attending to medical requirements, and planning medical care for patients without organizing and integrating such actions has become widespread in the healthcare industry. The massive volumes of data required to build a unified, effective, efficient, and dynamic supply chain (hereafter SC) in today's multifaceted, connected world are challenging SC professionals to stay up with. As a result, techniques that can quickly and wisely analyze various enormous volumes of SC data are in high demand right now. One technique utilized to address the new industrial challenges is artificial intelligence (AI). By increasing productivity, lowering costs, and improving patient care, the incorporation of intelligent technology with supply chain management (hereafter SCM) systems of E-healthcare offers the potential to completely transform the healthcare sector. The present research aims to investigate the use of AI in managing supply chains for electronic healthcare focusing on the E-healthcare privacy and security issues.