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Vitals: Healthcare

AI-powered clinical decision support — analyze patient symptoms, medical history, and lab results to assist with diagnoses.

Live system: HIPAA-compliant clinical decision support system with multi-modal patient data analysis. AI agents specialize in different diagnostic aspects while maintaining …

94%
Diagnostic Accuracy
70% faster
Time to Diagnosis
99% caught
Drug Interactions
+35%
Patient Throughput
Free 20-min discovery + 48h ROI audit Production-grade, not a demo5 weeks to first value
✓
✓
✓
Medical NER >95% accuracy • Physician review for all recommendations • Borderline flagged
Why this vs status quo
Do nothing
94% lost
Manual Healthcare
Build in-house
6–12 months
Hire + maintain
Vitals
70% faster
Weeks, not months
Symptom Analysis • Lab Result Interpretation
Save ~10×

What ships

  • Symptom Analysis — NLP-powered symptom extraction from clinical notes and patie…
  • Lab Result Interpretation — Automated analysis of lab results against reference ranges w…
  • Drug Interaction Check — Real-time screening for drug-drug and drug-condition interac…
  • Treatment Recommendations — Evidence-based treatment suggestions using medical knowledge…
  • Medical Literature RAG — RAG-powered retrieval from medical journals, clinical trials…
  • Patient Risk Scoring — ML-powered risk stratification for readmission, complication…

Human signs every critical step • Audit trail included

Sample output & architecture

Vitals — Production Blueprint
Dated 18 Aug 2026 • #VIT-2026-041
Diagnostic Accuracy: 94%Time to Diagnosis: 70% fasterDrug Interactions: 99% caughtHealthcare
Agents
Clinical NLP Agent • Diagnosis Agent • Pharmacy Agent
Stack
Azure AI Foundry, Azure Health Data Services, Python, FastAPI
Workflow preview
1. Patient Intake2. Clinical NLP3. Risk Assessment4. Differential Diagnosis
Data flow: Patient Data → Clinical NLP → Risk Assessment → Differential Diagnosis → Medication Review → Literature Retrieval → Clinical Summary
Azure AI Foundry + LangChain • Azure AI Foundry provides HIPAA-compliant LLM hosting. LangCv1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure AI Foundry provides HIPAA-compliant LLM hosting. LangChain's RAG patterns enable accurate medical literature retrieval with proper citations.

Alternatives: Google Cloud Healthcare API + LlamaIndex, AWS HealthLake + Custom ML

How Vitals works — Instant to first value

Patient Intake → Clinical NLP → Risk Assessment → delivery. Full 8-step trail collapses below.

01 • Instant
Patient Intake
Patient data collected via EHR integration, forms, or voice.
02 • < 3 seconds
Clinical NLP
Extract medical entities and clinical concepts from patient data.
03 • < 5 seconds
Risk Assessment
Calculate patient risk scores and flag high-priority conditions.
Full 8-step audit trail
1
Patient Intake • Instant
Patient data collected via EHR integration, forms, or voice.
2
Clinical NLP • < 3 seconds
Extract medical entities and clinical concepts from patient data.
3
Risk Assessment • < 5 seconds
Calculate patient risk scores and flag high-priority conditions.
4
Differential Diagnosis • < 10 seconds
Generate ranked differential diagnoses with supporting evidence.
5
Medication Review • < 5 seconds
Screen current and proposed medications for safety.
6
Literature Retrieval • < 15 seconds
Fetch relevant clinical evidence and guidelines for complex cases.
7
Clinical Summary • < 10 seconds
Generate comprehensive clinical summary with recommendations.
8
Continuous Learning • Ongoing
Learn from outcomes to improve diagnostic accuracy over time.

Which Healthcare use case is yours?

Tap your model — see the exact hinge we test.

Primary Care Support

Assist general practitioners with differential diagnosis and treatment planning.

Do nothing
94% wasted
  • • Manual Healthcare process
  • • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Vitals — 70% faster
8 steps • Agents • Evidence
  • Symptom Analysis
  • Lab Result Interpretation
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Vitals · Agent Mesh

ORCHESTRATORHealthcareClinical NLPACTIVEDiagnosisNODE 02PharmacyNODE 03ResearchNODE 04DocumentationNODE 0512345678
Step 1Instant

Patient Intake

Patient data collected via EHR integration, forms, or voice.

EHR syncForm submissionVoice transcriptionData normalization

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

AI-powered clinical decision support — analyze patient symptoms, medical history, and lab results to assist with diagnoses. Delivered as 5 specialized agents + 8-step workflow. You get Symptom Analysis + Lab Result Interpretation and a dated evidence trail.
Production in 5 weeks • Audit trail

Get Vitals live — without the Healthcare drag.

AI-powered clinical decision support — analyze patient symptoms, medical history, and lab results to assist with diagnoses.… Implementation: Clinical NLP → Diagnostic Intelligence → Safety Systems → Clinical Integration.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trail•Azure AI Foundry + LangChain•Deterministic — LLM only for rationale