30% Faster Processing, 20% Lower Costs for Oncology Leader
20%
Reduction in inventory carrying costs15%
Improvement in forecasting30%
Decrease in patient wait times10%
Reduction in cloud expenses
The Challenge
Enhancing Compliance Visibility, Patient Flow, and Cloud Efficiency
The client faced multiple operational challenges that were limiting efficiency and visibility. It needed to track firmware and software versions installed in radiation machines, including configurations and upgrade status, to support HIPAA and HITECH compliance requirements. At the same time, the organization required improved real-time visibility into patient data and departmental workflows to reduce bottlenecks and improve the patient experience. It also needed a more robust way to monitor Azure cloud resources and DevOps workflows to control costs, optimize performance and address issues proactively.
Sutherland Solution
Data-Driven Transformation to Improve Visibility, Performance, Control
A data-driven transformation program was implemented to enhance visibility, control, and operational performance across systems and workflows.
- Built a centralized and structured database by transforming lakhs of XML files and surfacing insights through Power BI dashboards for software inventory visibility and compliance reporting
- Applied AI-driven processing and automated pipelines to improve data accuracy and deliver real-time insights for inventory management and forecasting
- Enabled real-time visibility into patient data and department workflows through the internal analytics platform and interactive dashboards
- Introduced AI-powered goal monitoring and automated notifications to support proactive action and reduce patient wait times
- Implemented the client’s cloud environment to monitor Azure resources and DevOps workflows through Grafana dashboards
- Set up proactive alerts and automated remediation actions to minimize downtime and improve cost-effective cloud utilization
The Outcome
Better Inventory Control, Faster Patient Flow and Lower Cloud Costs
Sutherland’s data engineering and transformation approach helped the client improve visibility, accuracy, and control across key areas of the business. In inventory management, stronger data quality and better forecasting enabled more informed resource allocation, reduced carrying costs, and supported faster day-to-day decision-making.
The impact extended across patient and technology operations as well. Streamlined workflows and greater visibility into patient movement helped reduce delays and improve the experience across departments and hospitals. At the same time, proactive monitoring and smarter resource optimization lowered cloud expenses, improved utilization, and freed up capacity for broader innovation.
