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Accelerator Overview

As operating margins shrink and payers increasingly tie reimbursements to quality and financial performance, trimming costs and minimizing waste are critical mandates for healthcare organizations. One way to fulfill them: smarter management of a typically complex and fragmented healthcare supply chain. This requires balancing the needs of numerous stakeholders, having accurate data on the cost and use of various items, and leveraging data for better management decisions across the supply chain flow.

The Supply Chain Explorer Analytic Accelerator supports data-informed decisions that can lead to meaningful savings and greater efficiencies. Lending visibility into foundational components of the supply chain—from pricing and procurement to utilization—the application offers analytics that help you understand, optimize, and integrate processes. You’re able to identify and target improvements for specific sites and workflows (e.g., the peri-operative space, the procedural departments) and for your organization as a whole.

Benefits and Features

Explore—and understand—variation.

The application allows you to drill into the data and easily obtain detailed information about usage variability in different areas. You’re able to assess whether the variation is intentional and appropriate—and whether it’s negatively affecting operational performance.

Identify data issues that impede efficiency.

The accelerator can reveal data issues such as duplicate charge numbers for a single supply, redundant item codes, different contracts for the same item, items being special ordered inappropriately, etc. so you resolve them to improve process flow.

Use Cases

Executives at one large healthcare system had long been frustrated by siloed, inaccurate supply-chain data from disparate sources, which stymied their efforts to reduce overspending. After implementing DOS and the Supply Chain application, they worked on standardization of preferences and processes and now use the app to monitor and reduce variation. They have gained a deep understanding of their supply chain processes and data—and have reduced significant cost savings by eliminating non-use items, adding preferred standard items, and reducing special orders.