Technology Transfer as the Process of Pharmaceutical Quality System： Modelling Technology Transfer as a Process Strategy

The recent GMP （good medical practice） rules actualisation and its requirements introduction widened the GMP guidelines for every life cycle of medicinal products, including the stage of processes scaling and technology transfer. This requires the technology transfer process to be regulated as the part of pharmaceutical quality system and the following development of corresponding written procedures. The following publication is dedicated to the development of TTP （technology transfer process） and its accessible graphic formalisation alongside the definition of main stages and possible procedures limited by the offered model. According to the actualized GMP rules, the technology transfer is an essential part of pharmaceutical quality system at a modem pharmaceutical company.

A strategy for population pharmaceutical quality assessment based on quality by design

From a regulatory perspective,drug quality consistency evaluation must concern different processes used for the same drug.In this study,an assessment strategy based on quality by design(QbD)was developed for population pharmaceutical quality evaluation.A descriptive analysis method based on QbD concept was first established to characterize the process by critical evaluation attributes(CEAs).Then quantitative analysis method based on an improved statistical process control(SPC)method was established to investigate the process indicators(PIs)in the process population,such as mean distribution,batch-to-batch difference and abnormal quality probability.After that rules for risk assessment were established based on the SPC limitations and parameters.Both the SPC parameters of the CEAs and the risk of PIs were visualized according to the interaction test results to obtain a better understanding of the population pharmaceutical quality.Finally,an assessment strategy was built and applied to generic drug consistency assessment,process risk assessment and quality trend tracking.The strategy demonstrated in this study could help reveal quality consistency from the perspective of process control and process risk,and further show the recent development status of domestic pharmaceutical production processes.In addition,a process risk assessment and population quality trend tracking provide databased information for approval.Not only can this information serve as a further basis for decisionmaking by the regulatory authority regarding early warnings,but it can also reduce some avoidable adverse reactions.With continuous addition of data,dynamic population pharmaceutical quality is meaningful for emergencies and decision-making regarding drug regulation.