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A database machines or back end processor is a computer or special hardware that stores and retrieves data from a database.It is specially designed for database access and is tightly coupled to the main computer(s) by a high-speed channel, whereas a database server is a general-purpose computer that holds a database and it's loosely coupled via a local area network to its clients.
Clinical quality management systems (CQMS) are systems used in the life sciences sector (primarily in the pharmaceutical, biologics and medical device industries) designed to manage quality management best practices throughout clinical research and clinical study management. A CQMS system is designed to manage all of the documents, activities ...
HIVE Logo. The High-performance Integrated Virtual Environment (HIVE) is a distributed computing environment used for healthcare-IT and biological research, including analysis of Next Generation Sequencing (NGS) data, preclinical, clinical and post market data, adverse events, metagenomic data, etc. [1] Currently it is supported and continuously developed by US Food and Drug Administration ...
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure
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.
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 ...
Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to discover and analyse patterns of fraudulent activities. Data from application systems or from their underlying databases is referred to as structured data.
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.