Case Studies Mission Health Enhances Efficiency and Accuracy with Voxware Cloud VMS
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Mission Health Enhances Efficiency and Accuracy with Voxware Cloud VMS

Functional Applications - Remote Monitoring & Control Systems
Functional Applications - Warehouse Management Systems (WMS)
Healthcare & Hospitals
Logistics & Transportation
Warehouse & Inventory Management
Inventory Management
Predictive Maintenance
Warehouse Automation
System Integration
Training
Efficient and accurate item selection is crucial in healthcare. Mission Health's paper-based picking process was inefficient and error-prone, leading to open work orders at the end of shifts. Hiring more staff was not an option, so they sought technology to replace outdated processes. A handheld scanning system was tried but found cumbersome, necessitating a hands-free solution.
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Mission Health, based in Asheville, North Carolina, has been providing superior healthcare since 1885. The organization manages seven hospitals offering services in over 50 medical specialties, including neuroscience, cancer, cardiac care, orthopedics, women’s health, and a dedicated Level II trauma center. The Mission Health distribution center handles all non-pharmaceutical and non-foodstuff supplies, enabling clinicians to provide high-standard care. Almost 3500 items are picked daily and shipped by a team of materials operations technicians.
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Mission Health chose Voxware for its Cloud VMS application and powerful configurability. The implementation was smooth and professional, providing flexibility without needing an on-site server. The decision to implement Voxware's Cloud VMS was straightforward due to its alignment with other cloud-based systems used by Mission Health. The materials operation team adapted quickly, moving from beginner to expert mode within a week. Real-time results and competition among staff drove productivity improvements.
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Able to close more orders at the end of every shift.
Increased productivity and throughput without hiring more staff.
Reduced picking errors and improved accuracy by 30%.
Order accuracy improved by 30% within the first four months.
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