Skip to main content
Prototype demoCareStrand is being demonstrated with synthetic data. Production deployment is coming soon.What the demo includes
CareStrand Intelligence

AI grounded in the right clinical context—and bounded by the task.

CareStrand is not a chatbot placed over the entire patient record. It assembles permitted, source-linked context and connects AI to controlled clinical workflows.

CareStrand at a glance visual
Clinical Context Compiler

The minimum relevant context for this person, task and application.

CareStrand combines the patient, encounter, clinician role, purpose, care relationship, application permission and sensitivity rules before information is released.

  • Different roles receive different context.
  • Restricted categories can remain outside general AI retrieval.
  • Every included fact retains source and provenance.
  • Denied context is removed before a provider call.
Inputs

Who and why

Patient · encounter · clinician · role · purpose · care relationship

What may be used

Application · permission tier · sensitivity · source status · jurisdiction policy

Output

A time-limited, permissions-aware and source-linked context package.

Open-Loop Guardian

Turn promises and results into owned, trackable work.

Letters, referrals, results and discharge plans contain future actions. CareStrand can structure them, confirm ownership and monitor connected systems for evidence of completion.

  1. Extract and confirm the action.
    Action, owner, due date and source link remain visible.
  2. Build the action graph.
    Related requests, results, appointments and communications are connected.
  3. Watch until complete.
    Due, overdue, completed and escalated states remain explicit.
  4. Keep human responsibility clear.
    CareStrand surfaces an open loop; it does not independently choose the clinical response.
CareStrand Open-Loop Guardian workflow

Open-Loop GuardianPromised → owned → evidenced → complete
AI Application Gateway

One governed connection for a much wider application ecosystem.

Ambient documentation is one use case—not the platform definition. CareStrand is designed to connect evidence, diagnostic, pathway, monitoring, medication, patient and future agentic tools.

DxDiagnostic AI
EvEvidence assistants
RxMedication support
RmRemote monitoring
PtPatient applications
Pathway agents
App Passport

Every connected application has a declared boundary.

  • Intended purpose and users
  • Data requested and prohibited
  • Model and version rule
  • Permitted outputs and actions
  • Human approval and monitoring
Provider neutral

Use the right model for the right task.

CareStrand can work with secure enterprise model platforms and separately validated specialist clinical models without binding the governance and workflow layer to one supplier.

The current prototype includes deterministic synthetic intelligence and an optional provider adapter for controlled demonstrations.

CareStrand source conflict review workflow

AI does not erase disagreementBoth sources and the clinician decision remain visible
Trustworthy outputs

Citations, conflicts, amendments and uncertainty belong in the answer.

The product should make it easier to inspect why an answer was produced and where the record remains incomplete—not merely produce fluent text.

  • Statement-level links to the source record
  • Versions and amendments remain distinguishable
  • Conflicting sources are compared, not silently merged
  • Missing evidence is stated explicitly
  • Model and application version can be retained in the receipt
AI partnership opportunity

Connect secure enterprise intelligence to real clinical context and workflow.

We are interested in model, application, clinical and healthcare-system partners who want to demonstrate bounded, source-grounded AI across fragmented care environments.

CareStrand is currently a synthetic prototype for demonstration and product development. It is not connected to production clinical systems and must not be used with identifiable patient information or for clinical decision-making.

Share with