← Thursday's Architecture

Try Patient Intake AI Live 🎮

Interactive demo - See the complete week come together

June 13, 2025
⚕️ Healthcare🎮 Interactive🚀 Production-Feel

From handwritten forms to structured EHR data in seconds.

Monday: learned 3 prompts for extraction, validation, and question generation. Tuesday: saw automation code chain them together. Wednesday: explored how 4 team roles use the system. Thursday: reviewed the agent architecture. Friday: try the actual system. Paste patient intake text, watch AI extract structured data, validate completeness, and generate follow-up questions.

Try Different Scenarios

Or Select Complexity Level

💰 ROI & Cost Savings Calculator

Adjust sliders to see potential time and cost savings for your healthcare organization. Based on real implementation data from 50+ practices.

15 people

Number of intake coordinators, medical assistants, nurses, and physicians

45 $/hour

Blended hourly rate across clinical staff (MAs ~$20-30, RNs ~$35-50, MDs ~$100-150)

120 patients

Number of new patient intakes processed daily across all staff

15 min/patient

Current time to manually enter patient data, review for completeness, generate questions

2 min/patient

Time with AI: review extracted data, approve/edit, send questions if needed

250 days

Number of days practice is open (typically 250 for full-year operation)

Annual Savings

$118

Per year with automation

Payback Period

5079.4 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
70% reduction

Before

$169

After

$51

Time Spent (Before)
70% improvement

Before

7,800 hrs

After

2,340 hrs

Team Productivity
35% improvement

Before

100%

After

135%

Annual Savings
Infinity% improvement

Before

$0

After

$118

Time Saved
Infinity% improvement

Before

0 hrs

After

5,460 hrs

ROI Summary

3-Year Savings:$354
5-Year Savings:$591
ROI (Year 1):0%

These calculations are estimates based on your inputs. Actual results may vary.

🤖 🤖 Watch Multi-Agent Intelligence System Collaborate

See how autonomous agents work together: Orchestrator routes tasks, Intake Agent extracts data, Validation Agent checks quality, PHI Agent protects sensitive info, Question Agent generates follow-ups. No human in the loop—agents make decisions autonomously.

Example Scenario
John's incomplete chest pain case (62M, chest pain x few days, no severity/meds/history)
1
Orchestrator
Receives intake text, analyzes content type
→ Task routed to Intake Agent
2
Intake Agent
Parses unstructured text using NLP
→ JSON with 5 populated fields, 7 null fields. Confidence: 73%
3
Orchestrator
Receives extraction results, checks confidence
→ Task routed to PHI Agent
4
PHI Agent
Scans for protected health information
→ PHI flagged, audit logged, encryption applied. Safe to continue.
5
Orchestrator
Receives PHI clearance
→ Task routed to Validation Agent
6
Validation Agent
Assesses data quality and completeness
→ Validation FAILED. 6 missing fields identified, 3 HIGH criticality. Risk level: HIGH.
7
Orchestrator
Receives validation failure + risk assessment
→ Task routed to Question Agent. EHR integration BLOCKED.
8
Question Agent
Generates targeted follow-up questions
→ 8 clinically relevant questions generated. Priority: 5 CRITICAL, 2 HIGH, 1 MEDIUM.
9
Orchestrator
Receives generated questions
→ Case flagged HIGH PRIORITY. Questions prepared but held for triage nurse review. Alert sent to clinical team.
💡
🎯 Zero human intervention. The Orchestrator made 5 autonomous routing decisions based on data quality, risk level, and clinical context. This is true multi-agent collaboration—each agent has a specific role, and the Orchestrator coordinates them intelligently.

🛠️ Build Your Own Healthcare Workflow

Pick agents from the palette below to build your custom workflow, then simulate execution.

Available Agents (12)

Your Workflow

Add agents above to build your workflow

🎮 How to Use This Demo

  1. 1Select a scenario type from the buttons above (Routine Checkup, Acute Symptoms, etc.)
  2. 2Click a sample case OR paste your own patient intake text in the input box
  3. 3Click 'Process Intake' and watch the AI work through each step
  4. 4Toggle between the 4 role views (Coordinator, Clinician, Operations, AI Specialist) to see what each team member sees
  5. 5Try all 5 sample cases to see how the system handles complete, incomplete, complex, emergency, and minimal data
  6. 6Check the 'Watch Agents Collaborate' section to see autonomous decision-making in action
🚀

Want This Built for Your Practice?

This demo shows what's possible. We build it production-ready, integrated with your EHR (Epic, Cerner, Athena), HIPAA-compliant, and customized to your workflows. From POC to production in 8-12 weeks.