30 September 2024

Pharmacovigilance: Signal detection and risk management

Acquire an understanding of the principles of signal detection, signal management and risk management. Learn about the data sources and methods for signal detection, and the process of signal management, including signal prioritisation, validation and assessment. Increase your knowledge of risk management activities and benefit-risk assessment, the related regulatory processes and the responsibilities of the marketing authorisation holder.

Pharmacovigilance: Signal detection and risk management

Through this course, you will be provided with a comprehensive overview of signal detection and risk management from the initial detection of potential signals in different data sources and continuing through the signal management process to signal validation and assessment of the benefit-risk balance.

The course also deals with risk management, risk minimisation activities and risk communication. Included are regulations, roles and responsibilities of the marketing authorization holder, regulatory authorities, ethics committees, healthcare professionals and patients.

The course is tailored for both academia and industry.

 

The course covers the following themes:

Data sources and methods for signal detection

  • Non-clinical data and data from clinical trials
  • Spontaneous reporting systems
  • Healthcare databases, drug/disease registries and electronic healthcare records
  • Published literature and social media
  • Disproportionality methods
  • Epidemiological methods
  • Data mining and text mining
  • Artificial intelligence and machine learning

    Signal management

    • Regulatory processes, roles and responsibilities
    • Signal prioritisation, validation and assessment

      Risk management

      • Regulatory processes, roles and responsibilities
      • Benefit-risk assessment
      • Potential and identified important risks
      • Risk minimisation measures
      • Risk communication
      • Assessing the effectiveness of risk minimisation

       

      After completion of the course, you will be able to:

      • explain and describe data sources and methods for signal detection
      • describe relevant legislation and guidelines on signal management and risk management 
      • explain key concepts related to signal management and risk management
      • explain and describe the information flow and regulatory processes involved
      • explain and describe the roles and responsibilities of regulatory agencies and marketing authorisation holders
      • explain how the effectiveness of risk minimisation measures can be assessed
      • analyse the results of signal detection procedures
      • discuss the limitations of data sources and methods
      • analyse and discuss safety information in the context of benefit-risk assessment
      • discuss the actions and decisions related to safety concerns
      • discuss risk management and risk minimisation activities relevant in different safety contexts
      • independently integrate and evaluate safety information from different sources
      • critically assess information and reflect on the appropriate actions to take
      • independently develop a strategy for risk management
      • independently plan risk minimisation activities and risk communication for different safety scenarios

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

      Participants must meet the following criteria

      • Hold a relevant bachelor degree or equivalent
      • Have a minimum 2 years of relevant job experience
      • Be proficient in English

      Find detailed information about the admission criteria.

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

      Course responsible
      Morten Andersen, Professor, Department of Drug Design and Pharmacology, University of Copenhagen.

      Lecturers
      Morten Andersen, Professor, Department of Drug Design and Pharmacology, University of Copenhagen.
      Maurizio Sessa, Assistant professor, Department of Drug Design and Pharmacology, University of Copenhagen.

      Other guest lecturers
      Professionals from safety / epidemiology / pharmacovigilance departments in the pharmaceutical industry and
      regulatory agencies.

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

       

      This course is offered as an elective course in Master of Industrial Drug Development and Master of Medicines Regulatory Affairs.

      Priority is given to students enrolled on Master of Industrial Drug Development or Master of Medicines Regulatory Affairs.

      Once the enrolled students have been admitted to the course, the remaining seats are distributed on a first-come, first-served basis.

       

       

       

       

       

       

       

       

       

       

       

       

      Course details

      Duration: 1 + 5 days over a period of 3 weeks
      Dates:

      Online pre-course (1 day's workload): 23-27 September 2024
      Campus part: 30 September-4 October 2024

      Place: Atrium*, Copenhagen, Denmark
      Course fee:
      Early Bird: Register by 27 March 2024 and save DKK 3,000 on the original prices stated below.
      EU/EEA citizens: 30,000 DKK
      Non-EU/EEA citizens: 33,475 DKK
      The fee includes lunch/coffee.
      Level and credit: Master course; 5 ECTS
      Examination date: To be announced in the exam plan
      Application deadline: 19 August 2024
      Admission: To be admitted, you must meet the admission criteria for Master of Industrial Drug Development

      *Consent to Atrium to process your personal data for student administration purposes needed.

      Course dates and application deadlines are announced via the  programme newsletter.
      Download course curriculum