Transforming Hospital Costs and Supply Chain with AI

The hospital group struggled with declining profitability due to complex regulatory changes, rising costs, and supply chain issues. 

Despite their digital transformation efforts, data fragmentation across multiple ERP systems and a lack of patient, ward, and procedure-level visibility impeded strategic decision-making and accurate cost forecasting.

Vamstar implemented its Hospital Data Orchestration methodology to integrate ERP and EHS systems effectively. 

Using Code Matching Algorithms and augmented machine learning technology, Vamstar’s team cleaned, normalised, and merged the fragmented datasets. 

This integration enabled seamless data flow and analytics delivery, allowing the hospital’s management team to access comprehensive weekly reports on patient-level costs, procedure trends, and operational insights.

Vamstar’s solution provided the hospital group with granular insights across patient, ward, and procedure levels. 

Management gained unprecedented visibility into cost variations, uncovering critical supply shortages and product utilisation trends across their facilities. 

The comprehensive analytics empowered the team to enhance decision-making, minimise operational risk, and optimise financial performance through improved reimbursement strategies. The organisation directed investments effectively, reducing costly errors and achieving better resource allocation, thus securing a more efficient and sustainable supply chain management.

The collaboration between Vamstar and the European hospital group exemplifies the transformative potential of AI in healthcare. By adopting Vamstar’s Hospital Data Orchestration methodology, the hospital group achieved granular operational insights, refined its decision-making, optimised reimbursement, and directed investments with precision, bolstering its financial sustainability in the dynamic healthcare industry.