Innovation And Efficiency - Visual Inspection In The 21st Century
Source: InQuest Science
In this educational webinar, Roy Cherris, a well-respected expert in the field of visual inspection systems and investigative microscopy for particle source identification, and Anthony Amato II, share additional insights on the Identifier Software.
Roy shares his 40 years of Quality Assurance experience covering:
- Optimizing visual inspection, training and qualification with improved efficiency and cost savings. (No paper-handling)
- USP 1790, FDA & European guidance for VISUAL INSPECTION directly supported by relational database application
- Error reduction & data integrity, automated statistics (POD, Zone Analysis, Inspector Training, Qualification studies ) scheduling, Standards Management and Custody
Key Objectives:
- Visions of Big Data & Paperless Pharma 4.0 are truly a 21st Century capability available now, but currently under-developed & disconnected for VI Data. Why it should be optimized
- In a world of “Big Data or Pharma 4.0” – Parenteral manufacturers should plan to consolidate isolated information by utilizing focused digital information applications or relational databases
- The Identifer Software’s modular relational database supports Quality by Design to store & evaluate the myriads of data hidden in VI test set management, training, qualification & performance monitoring
The solution for the 21st century in visual inspection - The Identifier Software:
- The Identifier Software will eliminate the time used for manual paper-based raw data recording and re-entry of data to spreadsheets for calculations
- The Identifier Software will facilitate compliance with FDA or global pharmaceutical industry standards and regulatory requirements.
- The Identifier Software will replace filing and physical storage of documentation. A digital database allows for quicker data entry, retrieval, and analysis compared to manual methods
- The Identifier Software will eliminate human errors associated with manual data entry, calculation mistakes, data duplication and manipulation
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