#21 Unlocking the power of real-world data – Patrick Ryan

The vast amount of real-world data collected during routine
clinical care is a treasure trove of safety information – but
there are challenges to overcome before this rich source of
evidence can be applied to pharmacovigilance. Patrick Ryan from
Johnson & Johnson discusses how to harness real-world data
for patient safety.

Tune in to find out:


How real-world data is collected and analysed

Which pharmacovigilance processes will benefit most from it

How to make data accessible without infringing patient
privacy



 
Want to know more?
Review the basics of real-world data and its use in
the medicines life cycle in Pharmaceutical Medicine, or read up
on the opportunities and challenges for pharmacovigilance in
Clinical Pharmacology & Therapeutics.

In partnership with the Observational Health Data Sciences and
Informatics (OHDSI) and the European Health Data & Evidence
Network (EHDEN) consortia, UMC researchers are exploring how
real-world data can help prioritise and validate signals in
pharmacovigilance. Read about their latest collaboration on
Uppsala Reports.

Another important player in the real-world data space is the Data
Analysis and Real World Interrogation Network (DARWIN), which
aims to provide timely and reliable evidence from real-world
healthcare databases in the EU to improve the safety and
effectiveness of medicines.

For more on real-world evidence and the challenges of working
with big data, don’t miss the Voice of EHDEN podcast or this
conversation with Elena Rocca from the Drug Safety Matters
archive.


This episode is the second of a three-part series on sources of
evidence in pharmacovigilance. Listen to the other two episodes
here:


The evidence for signals

Assessing safety in clinical trials






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