Find reports of side effects in texts and social media

Pharmacovigilance teams spot reports of side effects in texts and social media

Needs setupAI Act: no extra obligationsMonitoring & alertingChemicals & pharma

Fits: Legal & compliance · Health & care

Pharmacovigilance finds indications of side effects in forums, social networks and incoming texts faster and more completely. Less manual screening, and reportable cases do not get lost.

Is this for you?

  • You run your own social network channels, websites or contact forms in which patients write about your medicines.
  • You have a pharmacovigilance system with established processes for individual case reports and signals.
  • The volume of text is too large to screen everything by hand.
First step today

Without any real patient texts: write ten invented posts about a fictional medicine and use the template below to check which contain indications of side effects. Compare them in the team with your own assessment to see where the AI gets it wrong.

How to go about it

  1. Define the medicines and what counts as a report
  2. Determine channels and texts
  3. Set up regular retrieval in a validated system
  4. Detect indications and check them against the minimum information
  5. Hand over to pharmacovigilance
  6. Refine after a few weeks

Templates to copy

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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

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Same approach, other use cases

8 more use cases follow the pattern “Monitoring & alerting”.

CP-05 · Legal status 08.10.2026