AI in healthcare. For providers, pharma and life sciences.
Documentation, research and operations with Claude, set up so that health data stays protected, clinicians stay in charge and every use is classified under the EU AI Act.
30 minutes with a solution architect.
What is AI in healthcare, and how does Solorai help?
AI in healthcare is the use of AI models such as Claude to support clinical documentation, research the literature, prepare medical and regulatory writing and run administrative work, with clinicians and qualified staff responsible for every decision. Solorai sets up Claude Enterprise for healthcare providers, pharma and life sciences companies, builds AI agents for these workflows and governs their use under GDPR and the EU AI Act.
Written and reviewed by Solorai
- to assess your use cases and data
- 2 weeks
- people, at most, in a first pilot
- 50
- to roll out to up to 250 people
- 6 to 8 weeks
What can healthcare and life sciences teams do with Claude?
The six uses healthcare and life sciences teams usually start with. Qualified staff check every output, and diagnosis and treatment stay with clinicians.
Hospitals and clinics
Clinical documentation support
Draft discharge letters, referral letters and summaries from the clinician’s notes, for the clinician to check and sign.
Research and medical affairs
Research and literature review
Search and summarise the biomedical literature, with every statement linked to its source paper.
Pharma and medtech
Regulatory and medical writing
Draft study reports, sections of regulatory documents and medical information answers from approved sources.
Providers
Patient communication
Draft clear answers to administrative questions and appointment information in the patient’s language, without medical advice.
Providers and payers
Operations and administration
Prepare coding suggestions, reimbursement files and internal reports for administrative staff to review.
Pharma and CROs
Clinical trial operations
Prepare trial documents, check them for consistency and track open items across sites.
Confidentiality and compliance
How does AI in healthcare keep health data safe?
Health data needs the highest level of protection. These are the controls we put in place before any health data goes into Claude.
Health data protected
Health data is a special category of personal data under GDPR Article 9. Work runs in your own Claude Enterprise organisation, with single sign-on, roles and data policies, and your content is not used to train models by default.
Clinicians stay in charge
Claude prepares drafts and summaries. Diagnosis, treatment and every document that reaches a patient stay with qualified staff.
Documented processing
We support the data protection impact assessment, the processing agreement and the retention rules before the first case goes in.
Classified under the EU AI Act
We classify each use before it goes live, including whether it could count as a medical device, which brings its own rules.
Unacceptable risk
Banned since 2 February 2025, such as social scoring or emotion recognition at work.
High risk
- Emergency patient triageHigh-risk obligations, Annex III, point 5(d)
- AI in a medical device assessed by a notified bodyHigh-risk obligations, Annex I, from 2 August 2028
Limited risk
- A chatbot that answers patient questionsTell users they are talking to an AI system
Minimal risk
- Documentation, literature review and medical writingAI policy and AI literacy measures for staff
Obligations for the high-risk uses listed in Annex III apply from 2 December 2027, and for AI in products such as medical devices from 2 August 2028, as amended by Regulation (EU) 2026/1744. We classify every use before it goes live.
How we deliver
How does Solorai deliver AI in healthcare?
The same three services as in every engagement, set up for the rules of this sector.
Claude Enterprise
Claude for clinicians, researchers and administrative teams: single sign-on, roles, data policies, connectors to your sources and training on real work.
Claude Enterprise servicesAI agents
One agent per workflow, such as discharge letter drafts, literature monitoring or trial document checks, monitored, logged and approved by qualified staff.
AI agent servicesEU AI Act and governance
An inventory of every AI use, risk classification under the EU AI Act, support for the data protection impact assessment, an AI policy and training for staff.
EU AI Act compliance services
Where to start
AI readiness assessment
About 2 weeks
We map your teams, data, systems and constraints, and pick the uses with the clearest value and the lowest risk.
Pilot
Up to 50 people
One team works on real cases, with success criteria and safeguards agreed before the start.
Rollout
6 to 8 weeks
Claude goes to the teams in scope, with connectors, playbooks and training.
FAQ
AI in healthcare, in short
What is AI in healthcare?
AI in healthcare is the use of AI models such as Claude to support clinical documentation, literature research, medical and regulatory writing, patient communication and administrative work. Clinicians and qualified staff remain responsible for every decision.
What are Claude for Healthcare and Claude for Life Sciences?
They are Anthropic’s offerings for the sector. Claude for Life Sciences launched in October 2025 with connectors to research platforms such as Benchling and PubMed. Claude for Healthcare launched in January 2026 with HIPAA-ready tools for US providers and payers. Solorai is independent from Anthropic: we help organisations set up Claude and govern its use.
Can hospitals use AI with patient data under GDPR?
Yes, with the right safeguards. Health data is a special category under GDPR Article 9, so processing needs a legal basis and an Article 9 condition, and usually a data protection impact assessment, a processing agreement and strict access controls.
Is AI in healthcare high-risk under the EU AI Act?
Some uses are. Emergency patient triage is high-risk under Annex III, with obligations from 2 December 2027, and AI in medical devices assessed by a notified body is high-risk from 2 August 2028. Documentation support and literature review are not high-risk.
How is AI used in drug discovery and pharma?
Pharma and biotech teams use AI to review the literature, analyse experimental data, draft study reports and regulatory documents and plan clinical trials, with scientists checking every result.
What is the European Health Data Space?
It is the EU regulation on access to and reuse of electronic health data, Regulation (EU) 2025/327. It entered into force in March 2025, and most of its rules on the secondary use of health data, for research for example, apply from March 2029.
How does a healthcare organisation start with AI?
With an AI readiness assessment of about 2 weeks, then a pilot with one team of up to 50 people, then a rollout of 6 to 8 weeks to the teams in scope.
Related reading
- Service
AI governance framework and policy
Build an AI governance framework: AI policy, roles and accountability, risk management, approval workflows and monitoring of AI use across the company.
See the service - Service
AI voice agents for enterprise
AI voice agents that answer and route calls, qualify requests and book appointments, connected to your CRM and phone system.
See the service - Glossary
What is sovereign AI
Sovereign AI explained: data residency, private and on-premise LLMs, and how companies keep control of AI models and data.
Read the definition
Sources: Regulation (EU) 2024/1689, Regulation (EU) 2026/1744
AI for healthcare and life sciences. Start with a 30-minute briefing.
Tell us about your organisation and your goals. We will reply with a clear next step.