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Clinical Corvus is building an EHR-independent workflow intelligence layer for acute care teams. The product targets a clear pain point—cognitive overload + fragmented data + slow integration cycles—with a deployment model that can deliver value without waiting for deep interoperability.

Why It Wins​

  • Time-to-value without integration: the clinical interface (copy/paste + documents) is the adoption wedge.
  • Clinician control by design: suggestions are drafts; teams review via check-to-accept.
  • Trust posture: privacy-first and audit-friendly outputs (e.g., cited answers when evidence is requested).
  • Technology moat (high level): multi-agent orchestration + hybrid retrieval + deterministic clinical state, optimized for stability and auditability.

What We Are (And Aren’t)​

  • We are a workflow cockpit for rounds, handoff, and evidence-backed decisions.
  • We are not an autonomous ordering system.
  • We are not positioned as a fully automated diagnostic device; the clinician remains accountable.

Deployment & Enterprise Fit​

  • Flexible model strategy: support for different inference backends depending on cost, latency, and governance.
  • Privacy posture: local-first defaults and strict controls around external retrieval.
  • Institutional adoption: can start as a team tool and expand based on measurable workflow impact.

Pilot: What To Prove​

A good pilot should answer a few practical questions:

  • Workflow impact: do clinicians build a mental model and draft a plan faster, with less rework?
  • Handoff reliability: are I-PASS drafts consistent, editable, and less prone to omissions?
  • Evidence utility: when the team asks for evidence, are sources relevant and easy to review?
  • Trust & control: do clinicians review drafts and make edits (rather than blindly accepting them)?
  • Operational fit: does it fit privacy, governance, and documentation constraints in the target setting?