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The Seven Flows

The Seven Flows of Clinical Handover Governance

An infrastructure-level governance model for managing risk when care moves between organisations.

Because data can flow without safety — but care cannot.

The NHS Ten Year Plan places neighbourhood health at the centre of care delivery. What it does not address is the governance gap that opens when care moves between organisations.

Every time a patient, clinical signal, or decision crosses an organisational boundary, a handover occurs. Each handover creates risk — unless a small number of clinical governance conditions are made explicit and enforced.

This is the hidden hazard in distributed care. Not technology. Not willingness. Governance that stops at organisational walls.

The Seven Flows define the conditions that must hold for neighbourhood health to scale safely.

The Seven Flows framework for healthcare handover governance, clinical interoperability safety, and distributed care oversight.

What are the Seven Flows in healthcare?

The Seven Flows are a healthcare-specific governance framework for clinical handovers, interoperability, and distributed care delivery.

They define the minimum governance required to keep patients safe when care, data, alerts, or clinical responsibility move between:

  • general practice
  • community services
  • acute trusts
  • mental health services
  • remote monitoring and virtual wards

The Seven Flows address questions that interoperability alone does not answer:

  • Who is responsible right now?
  • Is this sharing permitted for this purpose?
  • Can this information be trusted?
  • Did the handover complete safely?

In short: Fast Healthcare Interoperability Resources (FHIR) enables data to move. The Seven Flows enable care to move safely.

How the Seven Flows differ from traditional clinical governance

Traditional clinical governance frameworks — such as the widely used Seven Pillars of Clinical Governance — focus on organisational quality, accountability, and continuous improvement within a care provider.

The Seven Flows address a different problem.

They describe the safety-critical information flows that must be governed when care moves between systems, teams, and organisations — particularly in interoperable, distributed, and digitally mediated healthcare.

Where traditional governance asks "Is this organisation delivering safe and effective care?" the Seven Flows ask "Can this patient safely move from here to there without loss of identity, consent, context, or accountability?"

The Seven Flows are therefore an infrastructure-level governance model, rather than an organisational quality framework.


Why handovers fail — even when systems work

Digital systems are very good at managing activity within organisations. They are far less effective at governing what happens between them.

When care crosses organisational boundaries:

  • Responsibility blurs
  • Consent assumptions leak
  • Provenance is lost
  • Alerts fragment
  • Outcomes fail to close

These failures are not visible inside any single system. They emerge between systems — which is why they are so difficult to see, measure, or govern.

Interoperability answers one question: Can data move?

The Seven Flows answer the harder ones: Should it? Who owns it? And what happened as a result?


The minimum governance required for safe care

The Seven Flows are governance invariants.

They define the minimum conditions that must hold whenever care, data, alerts, or clinical responsibility move across organisational boundaries — regardless of:

  • care setting
  • employer
  • system vendor
  • pathway design

If any Flow is missing, risk accumulates silently.

Governance that travels with care

The Seven Flows are governance invariants. Each Flow defines a condition that must hold when care moves across organisational boundaries.

01

Identity

Who is this about — and who acted?

Ensures confident patient and practitioner identification across organisational boundaries.

  • Confident patient identification across systems and settings
  • Clear attribution of actions to individuals, teams, and organisations
  • Matching confidence and identity provenance are explicit
Without Identity
  • Errors propagate
  • Accountability dissolves
  • Audit becomes meaningless
Explore identity governance →
02

Consent

Is this permitted — right now, for this purpose?

Ensures patient permission is explicit, portable, and enforceable across organisational boundaries.

  • Consent is contextual, granular, and time-bound
  • Lawful basis and patient preferences are explicit at the moment of exchange
  • Sharing is governed when it happens — not assumed from prior encounters
Without Consent
  • Data may flow legally but unsafely
  • Clinicians hesitate or over-share
  • Organisations absorb compliance risk unknowingly
Explore consent governance →
03

Provenance

Where did this come from — and can I trust it?

Ensures information lineage, confidence, and currency are visible at the point of clinical decision.

  • Source systems, transformations, and inferences are traceable
  • Confidence, currency, and derivation are visible
  • AI outputs carry lineage, not mystique
Without Provenance
  • Decisions rest on unexamined assumptions
  • Safety reviews collapse into blame
  • Learning becomes impossible
Explore provenance governance →
04

Clinical Intent

Why is this happening?

Ensures the purpose of access, sharing, or action is explicit and appropriate to care needs.

  • Purpose of access, alert, referral, or request is explicit
  • Data minimisation becomes enforceable
  • Governance distinguishes care from curiosity or convenience
Without Clinical Intent
  • Systems optimise throughput, not appropriateness
  • Alerts become noise
  • Data use drifts beyond its original purpose
Explore clinical intent governance →
05

Alert & Responsibility

Who owns the next action?

Ensures escalations are explicitly assigned and acknowledged across organisational boundaries.

  • Escalations are explicitly assigned
  • Ownership is acknowledged — not inferred
  • Responsibility transitions are visible and auditable
Without Alert & Responsibility
  • Alerts fire into voids
  • Responsibility fragments
  • Harm emerges quietly
Explore alert & responsibility governance →
06

Service Routing

Where should this go — and why?

Ensures referrals and escalations reach the right service with appropriate context.

  • Requests and escalations route based on clinical need, capability, and context
  • Routing decisions are explainable and reviewable
  • Context travels with the referral
Without Service Routing
  • Patients bounce
  • Context is lost
  • Capacity problems masquerade as clinical failures
Explore service routing governance →
07

Outcome

What actually happened — and did the episode close?

Ensures care episodes close deliberately and feed learning across organisational boundaries.

  • Actions complete with explicit closure
  • Outcomes feed learning, not just reporting
  • Episodes end deliberately — not by attrition
Without Outcome
  • Safety loops never close
  • Improvement stalls
  • Harm repeats invisibly
Explore outcome governance →

What the Seven Flows are — and are not

The Seven Flows are not

  • another data standard
  • a replacement for Electronic Patient Records (EPRs) or core clinical systems
  • a workflow engine
  • a centralised control system

They are

  • a governance substrate that existing systems can rely on when care crosses boundaries

They sit beneath integration — making handovers safe without dictating how care is delivered.

How the Seven Flows interact

The Seven Flows do not operate independently. They function as a set of reinforcing governance invariants that must hold together at each handover point.

Identity anchors who the handover concerns. Consent and Clinical Intent determine whether and why it should occur. Provenance establishes what can be trusted. Alert & Responsibility and Service Routing govern who acts next and where care moves. Outcome closes the loop, ensuring that actions complete and learning feeds back into the system.

When all seven hold, handovers are safe, auditable, and intelligible. When one fails, pressure shifts to the others — and risk accumulates silently between systems.


Why interoperability alone is insufficient

Interoperability focuses on movement. Governance focuses on appropriateness, responsibility, and closure.

Standards such as FHIR answer a necessary — but incomplete — question:

Can data move between systems?

They do not answer:

  • whether sharing is appropriate for this purpose, at this moment
  • who becomes responsible when information is received or acted upon
  • how escalation is acknowledged, owned, and closed
  • whether an episode or decision completed safely

As a result, data can flow perfectly while care becomes unsafe.

This is not a failure of interoperability. It is a gap in governance.

The boundary the Seven Flows address

The Seven Flows sit alongside interoperability — not above it, and not instead of it.

  • Interoperability enables exchange
  • The Seven Flows govern what that exchange means

They ensure that when data, alerts, or decisions cross organisational boundaries:

  • responsibility is explicit
  • consent and lawful basis are evaluated in context
  • provenance and confidence are visible
  • escalation does not dissipate
  • outcomes close deliberately

In short: Interoperability enables data to move. The Seven Flows ensure care can move safely.

This is the boundary where neighbourhood health succeeds or fails — and where governance must travel with care.


A Data Coordination Board (DCB) 0129 / DCB 0160 framing

From a clinical safety perspective, the Seven Flows address systemic hazard classes, not isolated incidents.

They target risks that arise between organisations, systems, and teams — where traditional safety controls are weakest and responsibility is most diffuse.

Specifically, the Seven Flows mitigate hazards including:

  • Misidentification and misattribution (Identity)
  • Inappropriate disclosure, restriction, or misuse of information (Consent, Clinical Intent)
  • Use of unreliable, outdated, or misunderstood information (Provenance)
  • Unowned alerts and missed escalations (Alert & Responsibility)
  • Incorrect routing or loss of clinical context at transition points (Service Routing)
  • Failure to close safety-critical loops (Outcome)

These hazards are rarely visible within any single system. They emerge at handover boundaries, often without triggering conventional incident reporting until harm has already occurred.

Safety by design, not retrospective assurance

Rather than generating safety evidence after the fact, the Seven Flows make safe handover conditions explicit at runtime:

  • responsibility is declared, not inferred
  • consent and lawful basis are checked at the point of use
  • provenance and confidence are visible at decision time
  • alerts are owned, acknowledged, and closed

Auditability and assurance emerge as a byproduct of care delivery, not as a parallel governance burden.

A practical safety mapping

The relationship between the Seven Flows and clinical safety hazards can be expressed simply:

Flow Hazard class addressed Typical NHS scenario
Alert & Responsibility Missed or unowned escalation Remote monitoring alert breaches threshold but no team is explicitly accountable to act

This pattern repeats across all Seven Flows. Each Flow controls a known hazard class that manifests during real-world handovers — not theoretical failures.

(A full mapping can be expanded where needed for safety cases, DCB submissions, or local assurance.)

What this enables

This approach supports a DCB 0129 / DCB 0160-aligned safety posture across:

  • distributed care models
  • multi-organisation pathways
  • remote monitoring and virtual wards
  • AI-supported clinical decision processes

— without requiring system centralisation, workflow replacement, or wholesale platform change.

In short: the Seven Flows operationalise clinical safety at the point where risk actually arises — the handover.

When to apply the Seven Flows

The Seven Flows are applied at handover points — not to whole pathways or systems.

They should be made explicit whenever any of the following occur:

Apply the Seven Flows when:

  • Care moves between organisations e.g. GP → community service, community → acute, monitoring hub → neighbourhood team
  • Clinical responsibility changes or becomes shared e.g. step-down care, virtual wards, multidisciplinary oversight
  • Alerts or signals require action beyond the originating team e.g. remote monitoring thresholds, abnormal results, safeguarding flags
  • Information is reused outside its original context e.g. summaries, shared assessments, AI-supported decision inputs
  • Escalation is possible but not guaranteed e.g. advisory alerts, trend-based monitoring, ambiguous thresholds
  • Episodes are expected to close across boundaries e.g. discharge, referral completion, community follow-up

When not to apply them

The Seven Flows are not required for:

  • purely internal workflows within a single team
  • operational scheduling or capacity management
  • data movement with no clinical decision or responsibility attached

They are invoked when governance matters, not when activity alone occurs.

A simple rule of thumb

If something can go wrong between teams, the Seven Flows should be explicit.

What changes when the Seven Flows are present

When governance travels with care, the difference is structural — not procedural.

Responsibility is visible before incidents occur, not reconstructed afterwards
Consent questions disappear at the point of care, because permission is explicit and contextual
Escalations land with named owners, not shared inboxes
Discharges complete cleanly, with responsibility handed back deliberately
Monitoring signals close, rather than lingering as unresolved risk

This is not optimisation. It is basic clinical safety made dependable.


Infrastructure, not a new system

The Seven Flows are implemented as governance infrastructure that sits beneath existing tools — not as another system to log into.

  • Works beneath existing EPRs, referral systems, and monitoring platforms
  • Introduced one Flow at a time
  • Often starts non-clinically
  • Scales with confidence and evidence
  • Supports phased regulatory posture

The Seven Flows — at a glance

Flow What it governs Risk it prevents Typical NHS moment
Identity Who the patient is, who acted Misidentification, misattribution Cross-org referral, record matching
Consent Whether sharing is permitted now Unsafe disclosure or restriction Community ↔ GP information exchange
Provenance Source, lineage, confidence Decisions on untrusted data Shared test results, AI outputs
Clinical Intent Why access or action occurred Alerts without purpose, data drift Monitoring thresholds, reviews
Alert & Responsibility Who owns the next action Unowned alerts, missed escalation Virtual ward alerts, abnormal obs
Service Routing Where care should go — and why Patients bouncing, lost context Referrals, escalation routing
Outcome Whether the episode closed Safety loops left open Discharge, monitoring completion

FHIR lets data move. The Seven Flows make sure care moves safely.

Healthcare does not fail because clinicians don't care.

It fails when responsibility, intent, and outcome are left implicit.

The Seven Flows make them explicit — and make neighbourhood care governable at scale.

This is governance you can reason about — before harm occurs.

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