AgenticHealth

From local installation to a person's approval, in five steps.

Illustration of the AgenticHealth interface
The five steps
01

Local installation

AgenticHealth is installed on-premise at the provider.

02

Knowledge base

Connectors index research and quality documents read-only.

03

Pseudonymised cohorts

For approved studies, FHIR cohorts enter the knowledge base already pseudonymised.

04

Questions with sources

The Assistant answers in natural language. Every answer links to the documents it comes from.

05

Drafts and approval

The agents prepare drafts and redactions. A person checks and approves every proposal.

Under the hood

On-premise with local LLMs

AgenticHealth is installed at the provider and the open-weight LLMs validated by noze ® run locally, with nothing sent to external services. Answers are grounded in the provider’s documents through RAG. Plugins and content packs are signed and run in a sandbox, with the designated contact’s consent.

Inside AgenticHealth

Data, connectors and agents

Read-only connectors

Shared folders, mail, WebDAV, S3 storage and REST/JSON sources bring protocols, literature, regulations and procedures into the knowledge base.

The source’s permissions

Anyone who cannot read a file at the source does not see it in search, citations or exports either. Unmapped permissions grant nothing.

FHIR R4 cohorts

Research cohorts come from a read-only FHIR R4 connector, with a first set of LOINC codes.

Pseudonyms before the knowledge base

Keyed pseudonyms, year of birth only, dates reduced to the month, identifiers removed.

Minimum threshold and studies register

Counts under the minimum threshold stay hidden. Access to cohorts is allowed only while the study is active in the studies register.

Automatic agents with limits

Some agents start on a schedule or on an event, such as a new document. Each has an account with minimum permissions, daily limits and an emergency stop.

Where AgenticHealth sits

Compared to other approaches

ApproachWhat it doesWhere the data livesLimit
Generic cloud AI chatbotAnswers generic questionsGoes out to the vendor’s cloudNo access to the provider’s documents, no cited sources
Clinical record / EHRStores and displays dataStays at the providerLookup, without natural-language search
Literature search engineSearches guidelines and papersOn the public databaseDoes not know the provider’s protocols and procedures
AgenticHealthResearch with sources, pseudonymised cohorts, study and quality draftsStays local, at the providerFor research and quality, not medical software

Want to see it on your documents?

Book a demo

Need support?Under attack?Service Status
Need support?Under attack?Service Status