---
title: >-
  NHS England stroke networks: Brainomix e-Stroke AI decision support in the
  thrombectomy pathway
slug: nhs-brainomix-stroke-transfer
stable_id: b967943b4e81c041
company: NHS England stroke networks
function_code: customer_service
pattern_codes:
  - exception_based_operations
evidence_strength: verified
publication_tier: showcase
freshness: current
reviewed_at: '2026-08-23'
updated_at: '2026-08-22'
source_quality_summary: 1 peer reviewed, 1 primary; publication outcomes are verified.
caveat_summary: >-
  Retrospective before/after observational study with small cohorts; other temporal
  effects cannot be fully excluded.
collections:
  - human-still-decides
bundle_version: 1.0.0
bundle_fingerprint: sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93
canonical_url: https://brianletort.ai/transformations/nhs-brainomix-stroke-transfer
---

# NHS England stroke networks: Brainomix e-Stroke AI decision support in the thrombectomy pathway

AI can surface suspected stroke-transfer cases before sequential specialist communication finishes.

Function: Customer service. Patterns: Exception-based operations. Evidence: verified.

Freshness: current. Reviewed: 2026-08-23. Updated: 2026-08-22.


Source quality: 1 peer reviewed, 1 primary; publication outcomes are verified.

## Before

1. **Acute stroke center clinician** — Acquire CT imaging and wait for local interpretation and sequential specialist consultation. (control: Local escalation pathway)
2. **Specialist team** — Review images and decide whether to accept the patient for thrombectomy. (control: Clinical decision)

## After

1. **e-Stroke AI** — Analyzes CT images and rapidly surfaces features consistent with large-vessel occlusion. (control: Decision-support only)
2. **Clinical teams** — Review shared images and AI output in parallel, decide treatment and transfer, and initiate transport. (control: Clinicians retain diagnosis and treatment rights)

## Decision rights

AI supports scan interpretation; clinicians decide diagnosis, referral acceptance, thrombolysis, thrombectomy, and transfer.

## Exception path

Clinicians override or disregard AI output when imaging, symptoms, or eligibility criteria conflict; standard stroke pathways remain available.

## Outcomes

- **Door-in-door-out time at an acute stroke center** (verified): 141 minutes before e-Stroke deployment → 79 minutes after deployment, a 62-minute reduction. Retrospective before/after observational study with small cohorts; other temporal effects cannot be fully excluded.

## Executive lesson

The value came from collapsing sequential interpretation and transfer handoffs, not from replacing the stroke specialist.

## Anti-pattern

Publishing the tripling in functional independence as causal without carrying the observational design and small sample.

## Questions for leaders

- Which waiting step is removed by the AI output?
- How are false-positive transfer recommendations handled?

## Sources

- [Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study](https://doi.org/10.3389/fneur.2023.1329643) — Frontiers in Neurology
- [Artificial intelligence revolutionising NHS stroke care](https://www.gov.uk/government/news/artificial-intelligence-revolutionising-nhs-stroke-care) — U.K. Department of Health and Social Care