11702 Courses delivered Online

In this short course we present an overview of the main principles of GMP, and we outline some things that manufacturing personnel need to do to comply with requirements. We identify the principal goals of GMP as: prevention of contamination; prevention of mix-ups; scrupulous documentation; validation and maintenance of processes and equipment; quality assurance by an independent unit; and training. We place GMP in the context of a company’s quality management system.

Prevention of contamination is one of the most important goals of GMP. Contamination of product is often difficult to detect, so GMP rules emphasise preventive measures, including: attention to personal health and hygiene, and the wearing of special clothing, by staff; and cleaning and sanitation of premises and equipment. In this short course we set out the basics of GMP requirements in these vital areas.

Analytical statistical elements are essential concepts in the design of clinical trials. This analysis helps us to understand whether a conclusion from a study of a sample of the target population applies generally to that population as a whole. In particular, it helps us to answer the question: Did the treatment effect in the given study occur just by chance? The statistical elements of a well-controlled study minimise the chances of drawing the wrong conclusions, by providing clear thresholds for such errors. The basic statistical elements of a clinical trial include eligibility criteria, randomisation, sample size, power, and blinding, and these are discussed in this short course.

Capture and management of clinical trial data is a challenge. The industry is under pressure to obtain and analyse such data more quickly, while maintaining data integrity, so that products can be brought to market sooner. Effective planning and adequate resources can ensure clinical trials yield high quality data within strict timelines and budget requirements, at the same time satisfying regulatory standards. This short course describes the purpose of data capture and explores efficiencies in data management as part of the evolving regulatory landscape.

The demands on quality from clinical trials are increasing. Quantitative aspects of clinical trials, such as the mass of study data to be collected, the multiple investigational sites, and the need to meet predetermined timelines, often supersede qualitative features. Therefore, addressing basic requirements for quality management is essential when preparing a clinical trial. This short course describes the core elements required for the establishment of a clinical trial and provides an overview of the role of the sponsor in supporting and improving trial quality.

A clinical investigator is responsible for conducting the clinical trial in compliance with the study protocol, GCP, medical ethics, and applicable legal requirements. The clinical research community expects that investigators and clinical staff are fully trained in GCP. Duties and functions discussed in this short course include: provision of adequate resources; liaison with IRB/IEC; compliance with protocol; management of investigational product(s), informed consent and data records; and safety reporting.

Revit face to face training customised and bespoke.