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Technical Strategy (Public Summary)

Clinical Corvus is engineered to deliver value in real hospitals where interoperability is slow and workflow pressure is high—without compromising privacy or clinician control.

The “Clinical Interface” Optimization​

Instead of requiring deep EHR integration to be useful, Corvus optimizes for a universal, low-friction interface:

  • copy/paste from EHR screens
  • document upload (e.g., PDFs, reports)

This creates a practical adoption wedge: teams can start using the workflow layer immediately and integrate deeper later if needed.

Spec-Driven Processing (Not Full EHR Replication)​

Rather than reconstructing the entire EHR, Corvus maps input into a compact schema designed for acute care:

  • clinician-friendly summaries suitable for documentation and handoff
  • high-yield vitals/labs suitable for trend views and safety checks
  • a simple stability/acuity framing suitable for triage and prioritization

The output is designed to be reviewable and editable, not “auto-executed”.

Evidence Retrieval When Needed​

When clinicians request evidence, Corvus retrieves and synthesizes external sources into a cited brief. The goal is not to overwhelm with papers, but to provide auditable support for the specific decision at hand.

Privacy-First By Default​

  • External evidence retrieval is governed explicitly (not “on by default”).
  • Requests are formed from clinical keywords rather than patient-identifying context.
  • Retention is designed to minimize data liability while supporting clinical continuity.

Deterministic Episode State​

Corvus uses an explicit episode-level state so drafts remain stable across turns and shifts, supporting auditability and reducing “answer drift”.

Multi-Model Flexibility​

Corvus treats the model as a deploy-time choice (cost, latency, governance). This supports a spectrum from cloud APIs (when permitted) to on-prem deployments where required.