Live clinical workflow demo

Clinical AI that drafts the work, so clinicians can focus on final review.

Turn patient conversations into structured drafts, suggested orders, and clear safety flags in minutes. Clinicians review, edit, and sign with full auditability.

Specialty-tuned models do the drafting so clinicians can focus on final review.

Draft acceptance

clinician-reviewed

Time saved / visit

0 min

demo estimate

Structured artifacts

per encounter

Draft acceptance

clinician-reviewed

Time saved / visit

0 min

demo estimate

Structured artifacts

per encounter

Before → With Vitruviana

Before

Manual note writing and copy/paste
Inconsistent structure across clinicians
Limited visibility into safety signals

With Vitruviana

AI drafts SOAP, orders, and AVS
Structured packet + clinician gate
Acceptance + audit trail captured

Before

Manual note writing and copy/paste
Inconsistent structure across clinicians
Limited visibility into safety signals

With Vitruviana

AI drafts SOAP, orders, and AVS
Structured packet + clinician gate
Acceptance + audit trail captured

Try the demo See how it works Technical details →

Specialty tunedClinician gateSafety routingNo PHI in demo

Voice Intake Demo Psychiatry Demo Use cases (by persona)Explore all demos →

Live cockpit

Outcome

Draft acceptance

~72% in demo runs

vitruviana.ai/cockpit

Chart Preparation

AI Summary

●Recent ER visit for chest pain - cardiac workup negative

●BP consistently 150-160/90-95 despite 3 medications

●HbA1c improved from 8.2% to 7.8% - good progress

Generated SOAP Note

2.3s

S: Chest pain x3 days, worse with exertion...

O: BP 140/85, HR 78, RR 16, SpO2 98%...

A: Unstable angina vs GERD, HTN uncontrolled...

P: ECG, troponins, stress test if neg...

ICD-10: I20.0CPT: 99214MDM: ModerateSafety: Review

Why it matters

Daily EHR Time

2+ hrs

Physicians spend over 2 hours daily on electronic health record documentation alone.

Chart Review Time

50%

Half of a doctor's pre-visit time is spent manually reviewing patient charts and history.

Burnout Rate

62%

Administrative burden is the leading cause of physician burnout nationwide.

Explore use cases →

Case story

Capture

Capture the story

Specialty-tuned intake prompts become a structured HPI + ROS summary with safety cues.

Intake packetSafety flagsHPI timeline

Draft

Draft the artifacts

Specialty-tuned AI drafts SOAP, differential, treatment plan, orders, and AVS.

SOAP draftDifferentialOrders shortlist

Review

Clinician review

Clinicians edit, accept, and capture an audit trail.

Clinician editsAcceptance logAudit trace

See it live →

AI outputs

Structured intake packet

Draft

Specialty-tuned HPI, ROS highlights, meds, allergies, and risk cues.

SOAP note draft

Draft

Clinician-ready documentation for review and edits.

Differential diagnosis (draft)

Draft

Reasoned shortlist with clinician-editable rationale.

Treatment plan draft

Draft

Suggested next steps for clinician review and edits.

Orders shortlist

Assistive

Assistive recommendations with clinician control.

Medication reconciliation

Safety

Interaction checks and conflict detection.

Draft outputs only. Clinicians review and approve in the cockpit.

See the full artifact bundle →

Workflow spine

Intake

Voice or text intake captures HPI, ROS highlights, meds, allergies, and red flags.

Structure

Outputs are normalized into a structured packet for downstream drafts and routing.

Clinician Gate

Every draft is reviewed, edited, and signed off before it’s usable.

See architecture →

Who it’s for

Clinicians

Specialty-tuned drafts for faster chart prep with review-first safety gates.

• 2-4x faster prep
• Editable SOAP + AVS
• Risk routing built in

Practice ops

Measure adoption, acceptance, and time saved from specialty-tuned workflows.

• Acceptance rate tracked
• Latency + cost telemetry
• Pilot-ready workflows

IT + engineering

Integration-first architecture with clear contracts and audit trails.

• FHIR-ready APIs
• Schema validation
• Traceable outputs

Demos + use cases

Patient Voice Intake

Conversational intake with structured outputs and safety flags.

Clinical Cockpit

Review drafts, orders, labs, and safety signals in one hub.

Psychiatry Consult

Screening + clinician-reviewed summaries with crisis routing.

Personality + Screening

Module-based screening entrypoint with structured summaries.

Voice Assistant Demo

Real-time voice interface with immediate structured output.

Radiology Workbench

Study image intake with structured findings and impression drafts.

ER Admin Cockpit

Credentialing, compliance, and coverage in one admin cockpit.

Demo Hub

Full demo workflow with notes, orders, and AVS drafts.

Browse all demos →View use cases →

FAQ

What is Vitruviana today?

Vitruviana is a technical demo of specialty-tuned Clinical AI for documentation and decision support. Outputs are drafts designed to be reviewed, edited, and validated by a clinician before any clinical use.

How do you handle safety, privacy, and compliance?

We design for HIPAA-aligned controls (encryption, access control, audit logging) and a clinician validation gate. This public demo is not intended for PHI—please avoid sharing identifying information.

What makes this different from other medical AI?

The focus is workflow and auditability: structured outputs, explicit clinician review, and a path to integration. The system is built to surface context, organize reasoning, and produce usable drafts rather than generic chat.

What do you integrate with?

We support an Epic SMART on FHIR sandbox demo today. Additional EHR integrations depend on customer environment and are typically delivered via standard APIs and workflow-specific adapters.

Talk to the team →

Case story

AI value in one visit.

Drafts arrive structured so clinicians review instead of starting from scratch. Every artifact stays editable, traceable, and auditable.

AI draftsClinician reviewAudit-ready

Capture

Capture the story

Specialty-tuned intake prompts become a structured HPI + ROS summary with safety cues.

Intake packetSafety flagsHPI timeline

Draft

Draft the artifacts

Specialty-tuned AI drafts SOAP, differential, treatment plan, orders, and AVS.

SOAP draftDifferentialOrders shortlist

Review

Clinician review

Clinicians edit, accept, and capture an audit trail.

Clinician editsAcceptance logAudit trace

Outcome: Clinician-approved draft • edits tracked • audit trail captured

See it live →

AI outputs

What the AI produces — and what clinicians can expect.

Differential diagnosis and treatment plans are drafted by AI, then reviewed and edited by clinicians. Every output is a draft until accepted in the cockpit.

Structured intake packet

Draft

Specialty-tuned HPI, ROS highlights, meds, allergies, and risk cues.

SOAP note draft

Draft

Clinician-ready documentation for review and edits.

Differential diagnosis (draft)

Draft

Reasoned shortlist with clinician-editable rationale.

Treatment plan draft

Draft

Suggested next steps for clinician review and edits.

Orders shortlist

Assistive

Assistive recommendations with clinician control.

Medication reconciliation

Safety

Interaction checks and conflict detection.

After-visit summary

Patient

Patient-friendly summary and follow-up guidance.

MDM + coding cues

Billing

Assistive hints for documentation completeness.

Safety flags

Safety

Red-flag signals and escalation routing.

Evaluation metrics and model benchmarks vary by scenario. See Technical Details for internal testing notes.

Artifact bundle (example)

AI drafts the bundle; clinicians review and accept in the cockpit.

Differential draft

draft

Shortlist with rationale for clinician edits.

Treatment plan

review

Next steps and follow-ups to review.

Orders shortlist

assistive

Assistive suggestions only.

Draft outputs only. Clinicians review, edit, and approve before any clinical use.

See technical evaluation notes →

Built for clinical teams

A workflow story for every decision maker.

Clinicians need trust and speed. Operations teams need measurable outcomes. IT needs integration clarity. We make each audience’s win visible.

What changes

Clinician review time↓ faster

Draft acceptance↑ higher

Auditability↑ clearer

Clinicians

Specialty-tuned drafts for faster chart prep with review-first safety gates.

2-4x faster prep
Editable SOAP + AVS
Risk routing built in

Open Clinician Cockpit →

Practice ops

Measure adoption, acceptance, and time saved from specialty-tuned workflows.

Acceptance rate tracked
Latency + cost telemetry
Pilot-ready workflows

View Use Cases →

IT + engineering

Integration-first architecture with clear contracts and audit trails.

FHIR-ready APIs
Schema validation
Traceable outputs

Read Technical Details →

Workflow spine

A clinician-first flow with visible artifacts at every step.

Each stage produces a reviewable artifact—keeping the clinician in control and the output audit-ready.

Voice intake

Structured packet

Clinician review

Intake

Voice or text intake captures HPI, ROS highlights, meds, allergies, and red flags.

Structure

Outputs are normalized into a structured packet for downstream drafts and routing.

Clinician Gate

Every draft is reviewed, edited, and signed off before it’s usable.

Demos

Jump straight into each demo

Every demo is accessible directly from the home page—no hunting through menus. Choose a workflow and see the artifacts it produces.

Patient Voice Intake

Conversational intake with structured outputs and safety flags.

Intake transcriptSafety flagsStructured packet

Open demo →

Clinical Cockpit

Review drafts, orders, labs, and safety signals in one hub.

SOAP draftOrders shortlistMDM summary

Open demo →

Psychiatry Consult

Screening + clinician-reviewed summaries with crisis routing.

Risk routingScreening snapshotClinician packet

Open demo →

Personality + Screening

Module-based screening entrypoint with structured summaries.

Module selectionPattern highlightsNext-step prompts

Open demo →

Voice Assistant Demo

Real-time voice interface with immediate structured output.

Live transcriptIntent captureDrafted outputs

Open demo →

Radiology Workbench

Study image intake with structured findings and impression drafts.

Study imagesFindings draftImpression summary

Open demo →

ER Admin Cockpit

Credentialing, compliance, and coverage in one admin cockpit.

Credential worklistCompliance alertsCoverage gaps

Open demo →

Demo Hub

Full demo workflow with notes, orders, and AVS drafts.

Artifacts railClinical consoleReview steps

Open demo →

TECHNICAL DEMONSTRATION

An architecture built for accuracy, speed, and auditability.

Multi-model routing, structured outputs, and clinician validation built into the workflow.

GPT-5.2 & Gemini 3

Multi-model AI

Epic FHIR R4

EHR Integration

WebRTC Voice

Real-time Audio

Security Architecture

Healthcare-ready

Interactive Demos

Clinical Cockpit • Voice Intake Demo • Psychiatry Demo • Personality & Screening

12+

AI-Powered Features

SOAP, Risk Scores, Care Gaps...

Real-time

Voice + Streaming

WebRTC + transcription

Research-informed Architecture

Built for Clinical Workflows and Auditability.

We focus on a clinician-in-the-loop workflow, structured outputs, and model routing that separates deep reasoning from formatting/extraction tasks. See the Technical Details page for architecture notes, evaluation approach, and sources.

🏆

How we evaluate (demo)

Structured tests + clinician-in-the-loop validation

Automated

Regression Harness

Scenario-based checks on outputs

Structured

Outputs

Schemas + validation for handoff

Routing

Right Model for the Task

Reasoning vs formatting/extraction

Note: This is a demo. Performance and coverage depend on deployment, data quality, and evaluation design. See Technical Details for more.

🛡️

Clinician

Validation-first

Outputs are drafts until reviewed

📋

Structured

Machine-readable

Schemas for handoffs and tooling

💊

Safety

Guardrails

Risk flags and explicit scope limits

🏥

Integration

Workflow-ready

Epic SMART on FHIR demo + adapters

HYBRID ARCHITECTURE

Two AI Brains. One Clinical Mission.

Our task router directs work to the best model for the job—deep reasoning when needed, and faster structured generation for deterministic formats. The goal is consistent outputs with clinician review, not “black box” autonomy.

🧠

Gemini 3 ProPrimary

Complex clinical reasoning • 1M token context • Med-Gemini heritage

Deep analysis tasks

⚡

GPT-5.2Fast

Structured outputs • SOAP formatting • Patient communication

Fast structured tasks

// Model Selection Service

Intelligent Router

Task analysis • Complexity scoring • Optimal selection

Low overhead

→ Gemini Tasks

Diagnosis

Med Reconciliation

Risk Assessment

Evidence Synthesis

→ GPT-5.2 Tasks

SOAP Formatting

JSON Extraction

Patient Comms

Quick Lookup

Task router

Explored Across Multiple Specialties

Representative demo scenarios (not clinical validation)

❤️

Cardiology

16 demo scenarios

🫁

Pulmonology

4 demo scenarios

🚨

Emergency Med

2 demo scenarios

🏥

Primary Care

4 demo scenarios

🔬

Endocrinology

4 demo scenarios

🫘

Nephrology

2 demo scenarios

🧠

Psychiatry

2 demo scenarios

🎗️

Oncology

2 demo scenarios

View Technical DetailsPlatform architecture • Performance data

FAQ

Common Questions Answered.

Pilot-ready demos

Explore the Demos — or Get in Touch

If you’re an investor, pilot site, or partner, we’d love to share the technical details and roadmap. You can also explore the live demos below.

Contact / Request intro Try Clinical Cockpit Try Voice Intake Demo Try Psychiatry Demo

Demo environment • No account required • Clinician review required for clinical use

Try the demo Browse demos

Demo environment • clinician review required