Divyashree Kantilal Patil, Divyani Rajendra Patil, Sunila A. Pati
{"title":"质量保证导论述评","authors":"Divyashree Kantilal Patil, Divyani Rajendra Patil, Sunila A. Pati","doi":"10.52711/2321-5836.2023.00015","DOIUrl":null,"url":null,"abstract":"Quality assurance (QA) is the management technique used to provide adequate confidence that a product, service, or result will satisfy requirements for quality and be fit for use. Each monitoring program or assessment must strive to generate data that is precise, dependable, and sufficient for the specified purpose. Data quality objectives are qualitative and quantitative standards that are used to create a system that will keep the level of uncertainty within permitted boundaries and at an acceptable level. Quality assurance will boost public and funding body confidence. Unconfirmed observations should not be used until they can be verified. Robust pharmaceutical quality assurance system ensures that products are effective and safe. Following good manufacturing practices (GMP) and enacting comprehensive inspection policies help drug manufacturers produce the highest quality products and avoid reputation-damaging incidents. Product Quality Review (PQR) is a mechanism to ensure that data captured by the Pharmaceutical Quality System (PQS) is reviewed for trends. This tool can support a continuous improvement environment. PQRs are designed for the purpose of identifying and implementing recommendations for required improvements. Quality control and quality assurance jobs are all about ensuring the medication has been manufactured correctly and is safe to use, as well as having its desired effect. Without these two functions of quality management, a pharmaceutical organisation would struggle to achieve consistency in its output. Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements. QA establishes and maintains set requirements for developing or manufacturing reliable products.","PeriodicalId":20945,"journal":{"name":"Research Journal of Pharmacology and Pharmacodynamics","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review on Introduction to Quality Assurance\",\"authors\":\"Divyashree Kantilal Patil, Divyani Rajendra Patil, Sunila A. Pati\",\"doi\":\"10.52711/2321-5836.2023.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quality assurance (QA) is the management technique used to provide adequate confidence that a product, service, or result will satisfy requirements for quality and be fit for use. Each monitoring program or assessment must strive to generate data that is precise, dependable, and sufficient for the specified purpose. Data quality objectives are qualitative and quantitative standards that are used to create a system that will keep the level of uncertainty within permitted boundaries and at an acceptable level. Quality assurance will boost public and funding body confidence. Unconfirmed observations should not be used until they can be verified. Robust pharmaceutical quality assurance system ensures that products are effective and safe. Following good manufacturing practices (GMP) and enacting comprehensive inspection policies help drug manufacturers produce the highest quality products and avoid reputation-damaging incidents. Product Quality Review (PQR) is a mechanism to ensure that data captured by the Pharmaceutical Quality System (PQS) is reviewed for trends. This tool can support a continuous improvement environment. PQRs are designed for the purpose of identifying and implementing recommendations for required improvements. Quality control and quality assurance jobs are all about ensuring the medication has been manufactured correctly and is safe to use, as well as having its desired effect. Without these two functions of quality management, a pharmaceutical organisation would struggle to achieve consistency in its output. Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements. 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Quality assurance (QA) is the management technique used to provide adequate confidence that a product, service, or result will satisfy requirements for quality and be fit for use. Each monitoring program or assessment must strive to generate data that is precise, dependable, and sufficient for the specified purpose. Data quality objectives are qualitative and quantitative standards that are used to create a system that will keep the level of uncertainty within permitted boundaries and at an acceptable level. Quality assurance will boost public and funding body confidence. Unconfirmed observations should not be used until they can be verified. Robust pharmaceutical quality assurance system ensures that products are effective and safe. Following good manufacturing practices (GMP) and enacting comprehensive inspection policies help drug manufacturers produce the highest quality products and avoid reputation-damaging incidents. Product Quality Review (PQR) is a mechanism to ensure that data captured by the Pharmaceutical Quality System (PQS) is reviewed for trends. This tool can support a continuous improvement environment. PQRs are designed for the purpose of identifying and implementing recommendations for required improvements. Quality control and quality assurance jobs are all about ensuring the medication has been manufactured correctly and is safe to use, as well as having its desired effect. Without these two functions of quality management, a pharmaceutical organisation would struggle to achieve consistency in its output. Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements. QA establishes and maintains set requirements for developing or manufacturing reliable products.