Private LLM for Healthcare – GDPR-Compliant AI for Hospitals, Clinics & Pharma
We design and fine-tune your private LLM for healthcare so you can use GDPR-compliant healthcare AI for clinical documentation, medical affairs and pharmacovigilance – always aligned with GDPR Article 9, EU AI Act high-risk rules and your internal compliance policies. Your data stays inside the EU – anonymised, pseudonymised or fully controlled on-premise.
Why Medical AI Requires Its Own Track
- Health data is special category data under GDPR – and often falls into high-risk zones under the EU AI Act.
- Generic GPT tools offer little control over training, retention or explainability.
- Internal compliance, DPOs and ethics boards need transparent, documented models – not “magic” APIs.
From Experiments to a Documented, Compliant Private LLM for Healthcare
Many European hospitals and pharma teams already test generic AI tools for summarisation and research, but hit compliance walls as soon as they touch real patient or study data. Our medical & pharma track is built to move beyond pilots: clear governance, anonymisation strategies and deployment options that satisfy internal and external stakeholders and give you a sustainable private LLM for healthcare and a robust healthcare LLM in Europe.
Where Medical Teams Get Stuck with AI
- Good prototypes in small teams – but IT, legal and DPO cannot approve US-based tools for production.
- Unclear data flows: no consistent approach to anonymisation or pseudonymisation across systems.
- No formal documentation, risk analysis or monitoring that would stand up to internal audits or regulators.
Private, Documented LLMs with Data Governance Built-In
- We define data flows, anonymisation levels and hosting options together with your IT, compliance and DPO.
- Models are fine-tuned on controlled datasets and delivered with documentation, model cards and usage guidance.
- Deployment in EU data centres or on-premise – on trusted providers such as Hetzner, Scaleway or OVHcloud – with full control over logging, access and updates.
Key Medical & Pharma AI Use Cases
We focus on high-impact but realistic workflows where language models can support clinicians, researchers and medical writers – always with a human in the loop. Below are three core clusters from your project plan, adapted to a European healthcare context and powered by your own private LLM for healthcare.
Clinical Documentation & Note Summarisation
Reduce time spent on documentation while keeping clinicians in control with a dedicated clinical documentation LLM and medical document summarization LLM inside your private LLM for healthcare stack.
- Summarise free-text notes into structured discharge summaries or letters.
- Normalise descriptions into standard terminology where possible.
- Assist clinicians with first draft documentation which they verify and sign off.
Medical Affairs & Scientific Writing
Support medical affairs, HEOR and medical writers with a medical research LLM assistant and pharma literature review AI for everyday document and literature workflows.
- Summarise scientific articles, clinical study reports and internal slide decks.
- Draft internal briefings, FAQs and response documents based on approved source material.
- Help maintain consistency of wording across markets, indications and materials.
Pharmacovigilance & Safety Intelligence
Use a pharmacovigilance AI assistant as a language model co-pilot in PV workflows under strict supervision.
- Help structure and triage narrative AE / case descriptions for human review.
- Support signal detection teams with summarised views of large text volumes.
- Draft internal notes and follow-up questions based on standard templates.
Pricing for Medical & Pharma LLM Projects
Medical and pharma projects require more work around governance, documentation and stakeholder alignment than simple automation. Pricing reflects that we are not only fine-tuning a model, but also helping you design a sustainable, compliant setup for GDPR-compliant healthcare AI and a production-ready private LLM for healthcare.
- Discovery workshop with clinicians, IT and DPO.
- Pilot dataset selection and anonymisation strategy.
- Fine-tune on controlled note/discharge data subset with a focused clinical documentation LLM.
- Staging environment for internal testing with clinicians.
- Fine-tuning on selected internal documents and public literature.
- Evaluation framework aligned with your medical review process.
- Model cards, usage guidelines and limitations clearly documented.
- EU-hosted API or on-prem deployment guidance for your medical research LLM assistant.
- Joint definition of risk classification and human oversight mechanisms.
- Extended documentation: risk analysis, controls, monitoring plan.
- Support in aligning with internal governance committees.
- Optional collaboration with your external legal / regulatory advisors.
All prices are net and non-binding examples. Final budgets depend on data complexity, jurisdictions, languages and governance requirements. We always provide a fixed-price proposal before any project starts.
How a Medical & Pharma AI Project Runs
We know that healthcare IT, compliance and clinical stakeholders need clarity, transparency and time to review. Our process is structured so each key group can give input and sign off before anything goes live, from the first prototype to a production-ready private LLM for healthcare.
Discovery with All Key Stakeholders
Joint session with clinical or medical leads, IT, DPO and compliance to map use cases, constraints and success criteria.
Data & Governance Design
We define what data can be used (anonymised, pseudonymised, synthetic), how it is stored and who can access it during the project.
Fixed-Price Proposal & Plan
You receive a written plan with scope, governance measures, documentation items and a fixed budget and timeline.
Fine-Tuning & Evaluation
We fine-tune the model on agreed datasets and run evaluation with synthetic and real-world examples, together with your experts.
Documentation & Internal Review
Model cards, limitations, prompts and monitoring plans are documented. Internal committees can review before any production move.
Deployment & Iteration
We support deployment in EU data centres or on-prem, and schedule regular check-ins to adjust models and governance as needed.
Secure AI Insights: European Hospital
Want to Explore Medical or Pharma AI Without Compliance Headaches?
In a short strategy call we map your current AI ideas to concrete, compliant use cases – and outline how a private, EU-hosted or on-premise model could support your clinicians or medical teams. Within 24 hours you receive a fixed-price proposal you can share with IT, compliance and management.