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Design input, including intended use and user needs (also known as customer attributes) Design output, including evaluation of conformance to design input requirements through: Design verification confirming that the design output meets the design input requirements ("did we design the device right?")
Quality management software centralizes the storage of these documents. Regulatory compliance: To decrease compliance risks, quality management software is used within companies to make sure they comply with ISO, OSHA, FDA, and other industry norms and requirements. The software makes closed-loop corrective and preventive action procedures ...
This is widely used in the Pharmaceutical, Life Sciences and BioTech industries and is a cousin of Software Testing but with a more formal and documented approach. The validation process begins with validation planning, system requirements definition, testing and verification activities, and validation reporting.
The intersection of technology and quality management software prompted the emergence of a new software category: Enterprise Quality Management Software (EQMS). EQMS is a platform for cross-functional communication and collaboration that centralizes, standardizes, and streamlines quality management data from across the value chain.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
In its Guidance for Industry "Data Integrity and Compliance With Drug CGMP" US-FDA states “it is the role of management with executive responsibility to create a quality culture where employees understand that data integrity is an organizational core value and employees are encouraged to identify and promptly report data integrity issues ...
Most of the drug manufacturing companies are using Web-based systems for capturing, managing and reporting clinical data. This not only helps them in faster and more efficient data capture, but also speeds up the process of drug development. In such systems, studies can be set up for each drug trial.
Here, the software for a large radiotherapy device was poorly designed and tested. In use, several interconnected problems led to several devices giving doses of radiation several thousands of times higher than intended, which resulted in the death of three patients and several more being permanently injured.