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CipherHealth
AI Infrastructure

The foundation for governed AI across the enterprise.

Connect clinical and operational data once, build a unified view of every patient, and run apps, automations, and agents with governance built in — so the tenth AI workflow is as easy to launch as the first.

The problem

Health systems do not lack AI ideas.

They lack the infrastructure to deliver them safely and repeatedly. Each new tool brings its own integration project, its own partial view of the patient, and its own security review.

A flood of point solutions

Siloed tools with weak fit, weak return, and another security review every time a team wants to try something new.

The same integrations, rebuilt

Every vendor reconnects the EHR, contact center, and operational systems — and still sees only a slice of the patient.

AI that IT cannot see

Pilots run without a shared view of what is live, what data each tool may touch, or who approved it.

Pilots that never scale

A department proof-of-concept stays a department proof-of-concept because there is no sanctioned place to build the next workflow.

One foundation. Many workflows. Connect data once, govern once, and make the tenth AI workflow as easy to launch as the first.

Architecture

Four layers every workflow shares

Apps, automations, and agents sit on the same data, context, and controls — so each new workflow costs less and launches faster than the last.

Foundation

Sources connect enterprise data feeds once. Context gives AI a deep clinical view of the patient. Storage keeps that context available for every workflow that follows.

Control

Shield applies enterprise security and compliance. Gateway logs every writeback and lets each health system decide which actions need human approval. Tailor A/B tests and customizes behavior before a change rolls out broadly.

Intelligence

Conversational Data lets staff ask questions of their data in plain language. Insights measure impact and trends. Push Reports deliver critical metrics on a schedule — without waiting on a new analyst request.

Execution

Specialized apps run inside clinical workflows. Automations handle repetitive tasks and system actions. Agents take on more complex work — all inside the systems staff already use.

Governance spans every layer. Source, manage, and audit AI solutions with one trust, compliance, and clinical safety framework — not a separate review for every tool.

What health systems build

Start with one workflow. Expand on the same foundation.

Land with a measurable goal — usually in access or care transitions — then add the next workflow without repeating integration and security work.

Access insights

A single operational view across calls, referrals, orders, portal requests, and forms — with AI insight layered on existing reporting.

Discharge companion

Help patients understand and follow their own discharge instructions after they go home, with a human escalation path when a person is needed.

Inbound call containment

Resolve routine access and status questions before they reach an agent, and surface the patterns that keep creating repeat calls.

Prior authorization

Assemble the clinical context a payer needs from connected sources so staff spend time on exceptions, not packet assembly.

Quality abstraction

Pull measure-ready details from the chart once, instead of sending teams back through the record for every quality program.

Closed-loop follow-up

Track critical results and other time-sensitive actions through to resolution, with writeback and audit on the same governed path.

Why CipherHealth

Built on seventeen years of patient engagement — not a greenfield AI stack.

CipherHealth has spent 17 years helping health systems engage patients and reduce readmissions through Rounding and Outreach. Those programs already sit in the workflow, already hold the integrations, and already operate under a HIPAA-first model.

AI Infrastructure sits underneath them. Rounding and Outreach supply data into Sources and act as execution channels for agents — so new workflows reuse the touchpoints health systems already trust.

See our AI approach

FAQ

Frequently asked questions

What is CipherHealth AI Infrastructure?
CipherHealth AI Infrastructure is a governed platform that connects clinical and operational data once, builds a unified patient context layer, and lets health systems deploy apps, automations, and agents across access, care transitions, and administration.
How is AI Infrastructure different from buying individual AI tools?
Point solutions each rebuild the same integrations and govern themselves. AI Infrastructure connects data once through Sources, applies one set of controls through Shield and Gateway, and runs many workflows on top — all visible in one governance framework.
How is patient data protected?
CipherHealth is HITRUST certified, SOC 2 Type II attested, and HIPAA compliant. Shield enforces role-based access and full audit logging of every agent action, with BAAs in place for health system deployments.
Do AI agents write back to the EHR?
Yes, through Gateway. Each writeback is logged, and each health system decides which actions require human approval before they reach the record.
Where should a health system start?
Start with one or two workflows tied to a measurable goal — usually in access or care transitions — then expand on the same foundation. Tailor lets teams adjust configurations and A/B test behaviors before a change rolls out broadly.
Does CipherHealth integrate with Epic and other EHRs?
Yes. CipherHealth offers bidirectional integrations with Epic, Oracle Health (Cerner), MEDITECH, and 85+ EHR systems via HL7 and FHIR, keeping patient lists, documentation, and outcomes in sync with workflows your teams already run.
Get started

See AI Infrastructure in action.

Start with one or two workflows tied to a measurable goal. We will show how the same foundation supports the next workflow — without another integration project or security review.