The automation of supply chain in healthcare is on the rise by leveraging data analytics and proactively identifying meaningful patterns in the systems, people, activities, and resources involved.
Goals and Objectives
Improve real-time visibility, evidence-based sourcing, and purchasing decisions. Reduce touch points in the supply chain model such as for requisitions, purchase orders, and invoicing. Optimize availability, utilization, and cost of products and services.
ERP, supply chain, inventory, asset, and materials management applications and systems
EHR, storage and warehouse-integrated modules, dashboards, and reporting
Predictive analytics, AI, and ML
Use Case Summary
Real-time supply chain data analytics, demand forecasting, and inventory tracking help create supply standardization, inventory optimization, accurate visibility and charge capture.