Already a DIA Member? Sign in. Not a member? Join.

Sign in

Forgot User ID? or Forgot Password?

Not a Member?

Create Account and Join

Virtual Event

Oct 19, 2020 9:55 AM - Oct 20, 2020 5:30 PM

(Eastern Standard Time)

Fort Washington, PA 19034

DIA Annual Canadian Meeting

Session 6 Track B: Evolving Use of Real World Evidence Across the Therapeutic Product Life-Cycle to Support Decision-making: Challenges with Opportunities to Grab

Session Chair(s)

Rania  Mouchantaf, PhD

Rania Mouchantaf, PhD

A/Executive Director, Marketed Pharmaceuticals Bureau, MHPD, Health Canada, Canada

Marc  Poitras, PhD, MBA

Marc Poitras, PhD, MBA

Scientific Manager, Marketed Pharmaceuticals and Medical Devices Bureau, Health Canada, Canada

There is increasing interest in utilizing real world data (RWD) to produce real world evidence (RWE) to inform on the benefits and risks of therapeutic products that could support decision-making. The goal of this session is to provide the current Canadian and International landscape and future directions as it relates to the use of RWE.

Learning Objective : At the conclusion of this session, participants should be able to:
  • Describe activities and ongoing efforts taken to meet this charge
  • Discuss opportunities to incorporate RWE into regulatory decisions to inform on safety and/or effectiveness
  • Determine what lessons can be learnt from the challenges encountered and outline areas of focus to continue enhancing the use of RWE

Speaker(s)

Xavier  Kurz, MD, PhD, MSc

Xavier Kurz, MD, PhD, MSc

Head of Data Analytics Workstream, European Medicines Agency, Netherlands

Lisa  Currie, MSc

Lisa Currie, MSc

Acting Manager/Senior Epidemiologist, Health Canada, Canada

Speaker

Nicole  Mittmann, MSc

Nicole Mittmann, MSc

Chief Scientist and Vice President of Evidence Standards , Canadian Agency for Drugs and Technologies in Health (CADTH), Canada

Health Technology Assessment and Real World Evidence

Robert W Platt, PhD

Robert W Platt, PhD

Albert Boehringer Chair in Pharmacoepidemiology, McGill University, Canada

CNODES Common Data Model Project

Have an account?

Be informed and stay engaged.

Don't miss an opportunity - join our mailing list to stay up to date on DIA insights and events.