For Insurers & Private Providers

Care performance and clinical risk infrastructure

Govern outcomes, manage risk, and scale care delivery with confidence. Clinical risk, accountability, and outcomes visible end-to-end — for insurers and providers alike.

01 Identity
02 Consent
03 Provenance
04 Intent
05 Responsibility
06 Routing
07 Outcome
Seven Flows
Governance invariants

Care is distributed. Visibility isn't.

Care is now delivered across apps, providers, pathways, and settings — but risk, accountability, and outcomes are still assessed after the fact. Insurers can't see emerging risk early enough. Providers struggle to scale without governance drag.

Risk assessed retrospectively

You see the claim after the hospital admission. Earlier signals existed — you couldn't access them.

Accountability gaps at handovers

Patient moves from app to clinic to specialist. Who owns the outcome? Who even knows?

Protocol variance unmanaged

Guidelines exist, but are they followed? Which providers deliver outcomes, which generate variance?

Governance doesn't scale

Manual safety processes work at 100 patients. At 100,000, they collapse or cost more than the care.

For Insurers

See risk before it becomes a claim

You're underwriting care you can't fully see. Members move between providers, generate device data you can't validate, and outcomes are only visible when claims arrive. That's too late.

Inference Clinical provides the infrastructure that makes risk, performance, and outcomes visible continuously — not retrospectively.

Risk visibility across populations

See emerging risk before acute events. Longitudinal member trajectories, not episodic snapshots tied to claims.

Prevention ROI that's measurable

Did that wellness programme actually reduce acute events? Outcomes attribution that stands up to actuarial scrutiny.

Protocol performance as asset

Which pathways produce outcomes, which don't? Protocols become measurable, improvable, priceable.

Provider variance surfaced

Who's delivering value, who's generating unwarranted variation? Visibility into performance before contract renewal.

Attribution that survives dispute

Clear provenance from intervention to outcome. Clinical decisions and escalations explicitly attributed and auditable.

For Private Providers

Scale without liability explosion

Growth creates governance gaps. You launched with robust processes for a small clinical team. Now you're at 50x the volume. Manual safety management can't keep up. Indemnity exposure grows with every patient.

The same infrastructure that gives insurers visibility gives providers protection and operational leverage.

Margin protection through reusable governance

Safety infrastructure that scales with volume. Governance that doesn't eat operating cost as you grow.

Clear accountability at every handover

When something goes wrong, responsibility is explicit and documented. Liability is clear because the audit trail is clear.

Operational efficiency without safety debt

Clinician time on patients, not admin. Documentation generated from care delivery, not duplicated after.

Evidence ready for inspection

CQC asks about clinical governance? The evidence is already structured. Not assembled the week before inspection.

Faster onboarding, consistent pathways

New clinicians work within governed protocols from day one. Quality doesn't depend on institutional memory.

One infrastructure substrate. Two economic buyers. The visibility that lets insurers underwrite with confidence is the same visibility that lets providers scale with protection.

How it works

Six infrastructure components that make risk, performance, and outcomes governable across distributed care delivery.

Patient State

FHIR Cube

Longitudinal patient state across providers. Provenance-preserving, queryable, UK Core FHIR R4 native.

Member trajectories Care continuity
Clinical Workflows

Protocol Factory

Pathways codified, versioned, executable. Gap detection when steps are missed or overdue.

Protocol performance Consistent delivery
Remote Monitoring

SteadyTrace

Device data validated before clinical use. Protocol-driven collection with clear responsibility chain.

Validated risk data RPM liability clarity
Permissions

Consent Graph

Dynamic consent and access control. Who can see what, under what conditions, with what lawful basis.

Auditable access GDPR compliance
Clinical Safety

Hazards Engine

Continuous hazard tracking across pathways. Risk assessments linked to features and interventions.

Risk management CQC readiness
Terminology

Semantic Factory

Consistent meaning across systems. SNOMED, value sets, mappings — treated as infrastructure.

Consistent coding Interoperability

Governed by the Seven Flows

Every infrastructure component implements governance invariants that hold regardless of scale: identity, consent, provenance, intent, responsibility, routing, outcome.

01 Identity
Member/patient matching across providers and settings
02 Consent
Dynamic consent for data use, sharing, and access
03 Provenance
End-to-end audit trail from source to decision
04 Clinical Intent
Why was this ordered, what outcome expected
05 Alert & Responsibility
Who is accountable when thresholds breach
06 Service Routing
Directing to appropriate setting with context
07 Outcome
Closed-loop tracking from intervention to measured result

Ready to explore?

We're working with insurers and private providers who want to govern distributed care without rebuilding infrastructure from scratch. Start with a 30-minute discovery call.

Book a discovery call