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Wolters Kluwer Health (Alphen aan den Rijn, NL)UpToDate Lexidrug
Globally leading drug database for pharmacists and clinicians, part of the UpToDate Expert AI platform from the Dutch company Wolters Kluwer. Offers 3,000+ drug topics, interaction checks, dosing advice and pharmacogenetics. Integrated with a GenAI layer for conversational searches (2025).

- Provider based in the Netherlands
- Publishes certification/GDPR safeguards
Last checked: 23 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
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Pososon requestGenAI layer (UpToDate Expert AI) on top of its own editorial knowledge base; servers available in EMEA; GDPR-compliant; no training on user data. Many tools build on a large model from providers such as OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about UpToDate Lexidrug
- Which AI model does UpToDate Lexidrug use?
- The maker of UpToDate Lexidrug does not disclose which AI model sits underneath. GenAI layer (UpToDate Expert AI) on top of its own editorial knowledge base; servers available in EMEA; GDPR-compliant; no training on user data.
- How much does UpToDate Lexidrug cost?
- Personal subscription (app) $29.99/mo; institutional licences on request. Check the current price on the provider's website; rates often change.
- Who is UpToDate Lexidrug for?
- UpToDate Lexidrug is aimed at pharmacy & pharmaceuticals and healthcare. It fits work such as carrying out medication reviews and interaction checks, automating prescription processing and dispensing, and patient communication and guidance on medication use.
- What should I look out for with AI in pharmacy & pharmaceuticals?
- Medication data is special category personal data (GDPR). Only use systems with a data processing agreement and EU hosting; do not store audio recordings of pharmaceutical consultations unencrypted on external servers. AI-supported medication reviews and interaction checks are supportive, the pharmacist remains ultimately responsible for the pharmaceutical care and must never rely blindly on algorithmic outcomes.
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