Healthcare
Document AI for hospitals, clinics and health insurers
In short
RootNia lets healthcare organizations query protocols, clinical guidelines, administrative documents and reports in plain language, with answers that cite the source document and page. Health data is a special category under the GDPR, which is why RootNia offers on-premise or dedicated VPC deployment, tier-based access control and a log of every retrieval.
Last updated ·
The problem: critical information scattered, and specially protected data
Protocols, clinical practice guidelines, nursing procedures, quality documentation and administrative files sit in shared folders, intranets and separate systems. Finding the current version of a protocol or assembling the documents for a case takes time from qualified staff.
On top of that, health data is a special category of personal data under Article 9 of the GDPR, which rules out sending documents to tools that offer no control over where and how they are processed.
How RootNia solves it
- Mixed-format intake: OCR and MIKA turn scanned documents, tables and images into a structured knowledge layer.
- Automatic classification: every document is assigned to its sector and type, with no manual rules.
- Grounded answers: RAG answers only from your documentation and every answer links to its source.
- Data inside your perimeter: on-premise or dedicated VPC deployment and your choice of LLM.
Common use cases
- Looking up current protocols and procedures.
- Preparing documentation for accreditation and quality audits.
- Administrative document management: authorizations, billing and agreements.
- Health insurers: reviewing reports to process reimbursements.
Example: finding the current version of a protocol
Illustrative example of how it works, not a specific customer.
A nursing supervisor asks: “What is the current fall-prevention protocol for inpatients, and which assessment scale does it specify?”
- RootNia searches documents classified as protocols and guidelines, including scans that OCR has turned into text.
- RAG retrieves the current version of the protocol and the section on risk assessment.
- The answer summarizes the procedure and the scale specified, linking to the exact page of the protocol.
- When older versions exist, the answer relies on the current one and the source stays visible to check it.
Getting started
- Data inside your perimeter: for documents containing health data, the Enterprise plan with on-prem or dedicated VPC deployment and custom data residency is recommended.
- Start with non-clinical content: many teams begin with protocols, quality and administrative documents, then expand.
- Timelines: 3 to 9 weeks on Enterprise, depending on the complexity of sources and deployment.
Compliance
RootNia is designed to help you comply with GDPR, NIS2 and the EU AI Act, and its infrastructure is aligned with ISO 27001, SOC 2 Type II and ENS.
Frequently asked questions
Can it process scanned clinical documents?
Yes. The OCR module turns scanned reports, PDFs and images into searchable text, and MIKA interprets text, tables and images from the same document together.
Where is health data processed?
With the Enterprise plan you can deploy RootNia on-premise or in a dedicated VPC, so documents never leave your infrastructure. You can also choose which LLM to connect, including one deployed in your own environment.
Does it replace clinical judgement?
No. RootNia helps find and summarize documentary information with the source cited; clinical decisions always remain with healthcare professionals.