Case Studies
Finding the right quality fit
Overview
Analytics & Modeling - Predictive Analytics Functional Applications - Enterprise Resource Planning Systems (ERP) | |
Healthcare & Hospitals | |
Business Operation Quality Assurance | |
Predictive Maintenance | |
Software Design & Engineering Services System Integration | |
Operational Impact
In addition to streamlining regulatory compliance, ProFicient has helped medi gain control over product quality and safety with a systematic approach to data collection. With advanced reporting capabilities, quality assurance managers are better able to make data-based, informed decisions that drive continuous improvement. | |
By monitoring error codes and addressing them with Assignable Cause and Corrective Action, medi takes a more preventative — rather than responsive — approach to maintaining its equipment and processes. Error codes can help indicate if a machine requires maintenance or is about to break down. If a specific machine is repeatedly producing errors, a report is issued and quality assurance managers can notify mechanics to address the problem before the machine fails. Previously, generating such reports took four hours; now, it takes between five and 10 minutes. | |
ProFicient has helped medi minimize errors and paperwork by increasing the accuracy and efficiency of data collection. Without the need to correct errors or enter duplicate data, medi estimates that it is saving 300-350 man-hours per year. Moreover, the company achieved a return on investment (ROI) within 10 months of implementing the software. | |
Quantitative Benefit
Saved over 500 labor hours per year. | |
Achieved a return on investment (ROI) within 10 months. | |
Saving 300-350 man-hours per year. | |