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    Tecsys Healthcare Supply Chain ROI Savings Calculator

     

    Built on decades of healthcare supply chain experience and hundreds of technology implementations, this tool estimates real cost saving opportunities.

     

    Discover Your Potential

    Elevate your hospital or medical facility's efficiency with our Healthcare Supply Chain ROI Savings Calculator, expertly designed for healthcare-specific supply chain management. Our tool, rooted in over four decades of experience in optimizing supply chains, including hospital ORs and renowned U.S. hospitals, provides a straightforward way to assess your potential cost savings. 

    Key Features

    Developed from extensive industry knowledge and experience
    Tailored for healthcare-specific inventory management needs
    Provides immediate financial insights with simple inputs

    The missing piece of the puzzle was a truly consolidated software platform that marries the clinical with the back office, eliminating those performance gaps that exist when one system ends and the next one picks up where that one left off.

    - Betty Jo Rocchio MS, RN, CRNA, CENP, Senior Vice President and Chief Nursing Officer, Mercy

    Frequently Asked Questions

    What is the typical rollout?

    Implementation duration could vary based on multiple factors. On average, from kick-off to go-live, a CSC project could last between 12 to 18 months and a POU automation project could last between 8 to 12 months (for a 300-bed hospital).

    How can I measure the impact?

    Using Tecsys’ business intelligence analytics, you can track your performance and manage the effectiveness of the implementation. With over 25 pre-built dashboards, you can monitor multiple ROI tabs, including:

    • Inventory Reduction
    • Expiration and Loss
    • Case Costing
    • Usage Capture

    Will the figures calculated above guarantee specific results?

    The outcomes generated by this calculator are not assured; rather, they serve as an approximation of the potential impact derived from the provided data.