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How it works

How Aksh Health works

From EHR intake to governed write-back: one connected pipeline with twelve specialist agents and clinician approval on every output.

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Platform pipeline preview

Platform flow: EHR systems connect to Aksh data layer, twelve AI agents draft outputs, clinicians review in the HITL queue, then approved content writes to the FHIR record.

  1. Systems

    Systems

    Then

  2. Aksh

    Aksh

    Then
  3. HITL

    Review

    Review

    Then

  4. Record

    Record

NHS-readyFHIR R4GDPR Art. 9MHRA-awareHuman-in-the-loop

End-to-end flow

Seven stages from intake to record

A single pipeline connects your EHR, knowledge graph, specialist agents, and clinician review. No autonomous write-back.

End-to-end journey: EMIS or SystmOne feeds the data layer, Neo4j knowledge graph, twelve AI agents, human review queue, FHIR staging, and EHR write on clinician approval.

  1. EMIS / SystmOne

    EMIS / SystmOne

    EHR intake via FHIR R4 and HL7 v2

    Then

  2. Data layer

    Data layer

    Normalised clinical data pipeline

    Then

  3. Neo4j graph

    Neo4j graph

    Connected patient knowledge model

    Then

  4. 12 AI agents

    12 AI agents

    Parallel specialist drafts

    Then
  5. HITL

    Review queue

    Review queue

    Clinician Accept, Edit, or Reject

    Then

  6. FHIR staging

    FHIR staging

    Draft resources before write-back

    Then

  7. EHR write

    EHR write

    Approved content to the record

Platform pillars

Connect, understand, act, and learn

Four capabilities that turn fragmented clinical data into coordinated, governed care.

01

Connect

One platform. Every system.

Designed to integrate with EMIS Web and SystmOne via FHIR R4 and HL7 v2. No migration project and no rip-and-replace. Your existing EHR stays in place.

02

Understand

A knowledge graph that reasons.

Each patient record becomes a connected model in Neo4j: conditions linked to risks, medications to interactions, history to predictions. Twelve specialist agents run in parallel to surface insights.

03

Act

Twelve AI agents. One review queue.

SYNTHESIS writes your SOAP note. Dr.Assist codes the diagnosis. GUARDIAN checks drug interactions. ORACLE scores patient risk. Everything appears as a draft in your review queue. Nothing writes to the FHIR record until you click Accept.

04

Learn

Every outcome improves the system.

Approved decisions feed back into the knowledge graph. Rejected outputs inform model refinement. The platform improves with every consultation across practices in your ICS.

Human-in-the-loop on every output

Every AI draft is staged for review. Clinicians choose Accept, Edit, or Reject. Only approved content progresses to FHIR staging and EHR write-back.

Accept

Approve the draft as-is. It stages as FHIR R4 and writes to the record.

Edit

Refine the draft inline, then approve your version. Your clinical judgement leads.

Reject

Decline the output with a reason. Nothing reaches the record. Feedback improves the system.

By role

How it works for your team

The same platform pipeline, viewed from different responsibilities.

01

Intake

Data flows from your EHR

Consultation data arrives from EMIS Web or SystmOne through governed FHIR intake paths.

02

Context

Knowledge graph loads

Patient history, medications, and risks connect in Neo4j to give agents full clinical context.

03

Draft

Agents work in parallel

Twelve specialists draft SOAP notes, safety checks, coding suggestions, and risk scores at once.

04

Queue

One unified review queue

Every draft appears in a single clinician queue. Nothing is hidden across separate tools or tabs.

05

Review

Accept, Edit, or Reject

You stay in control of every output. Edit drafts inline before approving, or reject with a reason.

06

Record

FHIR write on approval

Accepted outputs stage as FHIR R4 resources, then write back to the EHR record.

Architecture

Data flow from EHR to governed record

A compact view of how clinical systems connect to Aksh, pass through clinician review, and write back as FHIR R4.

Architecture flow: EMIS Web connects to the Aksh platform, clinicians review every output, then approved content writes back as FHIR R4.

  1. EMIS Web

    EMIS Web

    Primary care record

    Then

  2. Aksh platform

    Aksh platform

    Graph, agents, governance

    Then
  3. HITL

    Clinician review

    Clinician review

    Accept, Edit, or Reject

    Then

  4. FHIR R4

    FHIR R4

    Governed write-back

Ready to see it in your organisation?

Eight role-specific dashboards. FHIR R4 ready for EMIS Web and SystmOne. Clinical safety built in from day one.

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