CQC expects the same standards whether you're seeing 100 patients or 100,000. Manual safety processes don't scale. Inference Clinical provides the infrastructure to govern care continuously — across consultations, handovers, and remote monitoring.
You launched with robust processes for a small clinical team. Now you're at 50x the volume. Manual safety management can't keep up.
Patient has a virtual consultation, gets referred for in-person care, and you lose visibility. When they return, everyone starts from scratch.
Who's responsible when a reading is missed? When a device malfunctions? When the patient doesn't comply? Liability sits with you — visibility often doesn't.
Your clinicians spend too much time on admin, chasing records, and documenting for compliance. Time not spent on patients — driving burnout.
Digital care at scale requires governance invariants that hold regardless of volume: consistent identity, explicit consent, traceable provenance, clear responsibility. Our infrastructure implements these flows for digital-first care delivery.
Clinical safety infrastructure that continuously tracks hazards, mitigations, and residual risk across your digital pathways — in line with DCB 0129/0160 methodology.
You're deploying a new symptom triage pathway. Hazards Engine maintains the hazard log for the pathway — what could go wrong, likelihood, severity, mitigations in place. When you update the pathway, the hazard assessment updates. When CQC asks about your clinical safety governance, the evidence is already structured.
Longitudinal patient state meets codified clinical pathways. FHIR Cube maintains the patient record across providers. Protocol Factory defines what should happen, when, and in what order.
A patient has a video consultation with your GP service, is referred to a private dermatologist, then needs NHS follow-up. FHIR Cube maintains patient state across all three settings. Protocol Factory tracks where they are in the pathway. When they return to your service, you see what happened — not a blank slate.
Remote patient monitoring with clinical-grade governance. Device data validated before it reaches clinicians. Protocols define what's collected, when, and who's responsible.
You're offering cardiac monitoring for patients post-discharge using their own devices. SteadyTrace validates data quality, enforces the monitoring protocol, and ensures the right clinician is alerted when thresholds breach. Liability is clear because responsibility is explicit at every step.
Dynamic consent and permissions that govern data access across your platform — who can see what, under what conditions, with what lawful basis.
Patient consents to share their consultation notes with a specialist for 30 days. Consent Graph enforces time-bound access. When the specialist queries patient data after 30 days, access is denied. When CQC asks how you manage consent, you can show the decision logic and audit trail.
CQC's emerging framework for digital health providers expects governance that scales with volume. Our infrastructure is designed around these expectations — not as compliance theatre, but because good governance is good care.
Structures that work at 100 patients and 100,000
Evidence that safety is architectural, not retrofitted
Demonstrable tracking of handovers and transitions
Clear responsibility chains for RPM and AI-assisted decisions
We're infrastructure, not a platform replacement. Standard APIs, portable data, no proprietary lock-in.
We're working with digital health providers who want to grow without compromising safety. Start with a 30-minute discovery call.
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