Data-Driven Risk Management:

A practical approach to minimize subjectivity in line with ICH Q9 (R1)


Presented by: Pedro Ferreira,Head of Validation and Quality and Risk Management Services, ValGenesis®

ICH Q9(R1) introduced the need to manage and minimize subjectivity in risk management in order to enhance scientific sound risk based decision making. In this presentation, a practical approach to respond to this need is outlined in the context of a production process risk management. A set of digital state-of-the-art integrated tools is used to manage risk assessment activities. Once a risk baseline is defined, based on a existing set of tacit and explicit knowledge (if available), an iterative process of risk refinement is defined in which risks are re-calculated as new data and knowledge is available. Besides RPN revision, the integration with data allows the identification of new risks for a continuously improved control strategy.


SPEAKERS


Pedro Ferreira

Head of Validation and Quality and Risk Management Services, ValGenesis®

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Pedro is currently leading the Validation and Quality and Risk Management Consultancy Services at ValGenesis, delivering Validation, Quality, Risk and Knowledge management consultancy services to life-science industry from early drug development phase to commercial coupled with a portfolio of digital solutions to help companies to meet Industry 4.0 standards. His professional background has been in the pharmaceutical and chemical industries for over 10 years, with roles ranging from Quality Control and Quality Assurance of pharmaceutical products to the quality management of computerized systems and continuous improvement projects under the GMP scope. Pedro has a degree in Pharmacy and a master’s in Biotechnology.