Uppsala Reports Long Reads – Ensuring trust in AI/ML when used in pharmacovigilance

Ensuring trust in AI is vital to fully reap the benefits of the
technology in pharmacovigilance. Yet, how do we do so while
grappling with its ever-growing complexity?


This episode is part of the Uppsala Reports Long Reads series –
the most topical stories from UMC’s pharmacovigilance news site,
brought to you in audio format. Find the original article here.


After the read, we speak to one of the authors of the article,
Michael Glaser, to learn more about how AI and ML has been used
in pharmacovigilance so far, and what needs to happen to ensure
its continued use in the field.

Tune in to find out:


      How AI and ML are being used today in
pharmacovigilance processes


     Why a mindset change is necessary to make
full use of AI/ML in pharmacovigilance


      How we may best move forward to implement
AI/ML into healthcare.


 Want to know more?


 To know more about how AI and ML are being used in
pharmacovigilance currently, read this scoping review.


To know more about future trends of the use of AI in Biopharma,
read this Accenture survey.


Despite there being major interest in ML and AI to do more
than task automation, there are a number of barriers to its
implementation in healthcare. Check out this future-focused paper
on the use of AI/ML in pharmacovigilance that details how to
utilise it to its fullest potential.

A mindset shift is necessary in terms of how we think about
data, in terms of sharing, how to generate data required to
effectively train AI/ML models.

A validation framework must be developed for AI-based
pharmacovigilance systems. One suggestion is to do so using a
risk-based approach.

While there is much interest in using recently developed AI
technologies such as chatGPT, preliminary studies like this one
suggest that the technology has a ways to go to be useful in
pharmacovigilance.

The World Health Organization have published an extensive
guideline on the ethics and governance of AI for health.






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