The other GMP: good manufacturing practice and its importance in the validation of constructed pharmaceutical facilities

Render, Neil, Greenwood, David and Edge, Jerry (2005) The other GMP: good manufacturing practice and its importance in the validation of constructed pharmaceutical facilities. In: 21st Annual ARCOM Conference, 7-9 September 2005, University College London.

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Abstract

The work reported is part of an ongoing PhD study prompted by the particular difficulties encountered when two very different quality cultures interact (in this case Pharmaceutical industry clients and Construction industry providers). Pharmaceutical facilities have particular needs for their production requirements. Stringent regulations are set by regulatory bodies such as the Medicines and Healthcare products Regulatory Agency (MHRA) (in the UK) and the Food and Drugs Administration (FDA) in the US. This creates special problems of quality when it comes to the commissioning, validation and hand-over of the building, as it appears to be at odds with the rather less demanding quality systems that are normally accepted in the construction sector. The aim of the research is to model an acceptable process for incorporating these stringent validation requirements into the design, procurement and construction processes. There is little or no specific academic literature on the subject, though the trades and professional press (particularly in the USA) provide some normative comment on the problem area. The main academic grounding of the research is in Systems Theory and empirical data is being collecting using a multiple case study approach. Research data was collected from a number of pharmaceutical facility construction case studies and was used to test and inform a best practice model of facility validation. The qualitative methods of participant and direct observation were used as the main information gathering tools. The paper reports on the regulatory expectations that influence the construction of projects of this type and the impact on the best practice model of validation.

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