CAPA MANAGEMENT

The increasing complexity and continuous changes in the regulatory environment push organizations to seek a more holistic and highly integrated approach to their audit management processes. Auditing is a vital function within a pharmaceutical company.

To understand how to achieve quality in a regulated industry, you need to know that corrective and preventative actions (CAPA) are essential elements of quality management in GxP environments. The CAPA process is a commonly used tool to achieve operational excellence by identifying and mitigating non-conformances and deviations, both internally and externally. 

Change management is specifically designed to evaluate, redesign, and implement new business processes, where processes are defined in standard operating procedures (SOPs). A well implemented change management rewards the company with improved business processes, efficient workflows, decreased project overhead, a better risk profile and an improved company culture. 

The management of deviations is not just a GMP concept, it spans the entire product life cycle, including Good Laboratory Practices (GLP) and Good Clinical Practices (GCP) and Process Deviation Management.

High-content screening (HCS), also known as high-content analysis (HCA) or cellomics, is a method that is used in early development stages and drug discovery to typically identify substances such as small molecules, peptides, or relevant RNAi that can lead into development candidates for future medicines. 

With the development of diagnostic imaging devices, large amounts of digital high-res and 3D images are generated every day. The requirements of effective indexing and searching image are growing rapidly. Image annotation is an effective way for content-based image retrieval. 

The last few years have seen tremendous consolidation in both the pharmaceutical and contract research industries. The impact among pharma companies has created a heightened demand for productivity. 

Imaging data in diagnostics and research is growing at an unprecedented rate, coming from all kinds of sources. The con-focal and high-resolution microscopy, artificial intelligence, and any other new computer-tomographic (CT) technologies create vast amount of data. When researchers start to collaborate over distances with imaging centers, using diagnostic services over internet connections, the bandwidth and computation power easily exceeds the capabilities in remote areas. 

Regulatory agencies conduct routine inspections during active studies. In this case, documentation must be available and complete, ensuring that the study was conducted following the protocol using the principles of Good Clinical Practices (GCP).

Life science organizations developing or manufacturing pharmaceutical products will typically create, maintain and execute large amounts of standard operational procedures (SOP). The solid change control and deployment of SOPs are a fundamental to achieve compliance excellence.

A clear understanding of how RAW DATA is defined, recorded, and retained in the laboratory record is essential when it comes to compliance with the Good Laboratory Practices regulations. RAW DATA in laboratories occur in various fluctuating formats and versions in a large amount of laboratory devices, LIMS and quality management systems. 

Post implementation training services relate often to process changes. With arivis training services implementations are ready for success. The neuronOS Learning Management System (LMS) typically handles the processes related to ramp-up and adoption planning after larger implementations.