Kaia Health

Complete health journey intelligence that learns from every encounter.

From initial screening through outcomes tracking, Kaia Health manages the complete care coordination lifecycle with AI confidence scoring. Every clinician correction makes the system measurably better — with HIPAA-compliant audit trails.

Built for Your Role

What Kaia Health does for you.

Every role gets a purpose-built operating surface. Not a generic dashboard — a workspace designed for how you actually work in Health.

PhysicianStrategic oversight and approval authority

Catch developmental delays 6 months earlier on average

Population health view across all patients. Flag care gaps and track intervention outcomes.

Flagged MilestonesCare RecommendationsPatient Summary
Nurse / CoordinatorDocument review and quality assurance

AI-assisted screening with clinical confidence scoring

Review flagged milestones, validate care recommendations, and improve detection accuracy.

Patient Follow-up QueueCare PlansScreening Checklist
Office AdminProcessing, intake, and throughput

Reduce documentation time by 50% with automated intake

Track scheduling, billing, and compliance documentation across the practice.

Today's ScheduleDocumentation StatusBilling Queue
Compliance OfficerAudit readiness and regulatory compliance

Continuous HIPAA compliance monitoring and audit readiness

Every clinical decision is logged. Incident tracking and regulatory filing support built in.

HIPAA Compliance StatusIncident TrackerQuality Metrics
Start as Physician

After signup, you choose your role and land directly in your Kaia Health workspace.

Full Lifecycle

Every stage of the health journey, powered by intelligence.

Screening

Initial patient intake, risk stratification, and social determinants.

Assessment

Symptom analysis, developmental milestones, and clinical history review.

Clinical Decision Support

Evidence-based treatment suggestions with confidence-scored recommendations.

Care Coordination

Multi-provider coordination, referral management, and care plan tracking.

Outcomes

Treatment effectiveness analysis, readmission prevention, and quality metrics.

Classification

Four categories. One confidence score. Full clinical reasoning.

URGENT

Critical symptoms requiring immediate medical attention — fever spikes, breathing difficulties, allergic reactions.

ROUTINE

Standard developmental checkups, vaccinations, well-child visits tracking normal growth patterns.

PREVENTIVE

Proactive health screenings, milestone assessments, nutritional guidance based on age-appropriate benchmarks.

SENSITIVE

Mental health indicators, behavioral concerns, family dynamics requiring careful clinical approach.

The Learning Loop

Every correction makes the system smarter.

01

AI Triages

Submit a health record. The Intelligence Engine analyzes symptoms, history, and developmental markers with confidence-scored assessments.

02

Clinician Reviews

Pediatricians review AI triage results. When the model gets it wrong, they correct it — adding clinical context the AI missed.

03

System Learns

Each correction creates a training data pair. The model improves on pediatric-specific patterns, measurably, every month.

Market Opportunity

Built for the scale of pediatric healthcare.

$45B

Health tech market size

0.90

Confidence threshold (HIPAA)

HIPAA

Compliant by design

Intelligence Engine

Every clinician correction flows through the five-layer continuous learning system — from prompt refinements ($0.03, instant) to architecture evolution (monthly, human-required). Each correction is triaged and routed to the appropriate learning mechanism.

See the full Intelligence Engine architecture →

Health Differentiator

HIPAA by design.

Healthcare AI cannot be retrofitted for compliance. Kaia Health enforces HIPAA at every layer of the Intelligence Engine — from data ingestion to model training to output delivery.

0.90

Higher Confidence Threshold

Healthcare requires 0.90 confidence vs. 0.85 for general verticals. Below-threshold classifications always route to clinician review.

Tenant Data Isolation

Patient data never leaves the tenant boundary. No cross-organization data sharing. Federated learning improves models without exposing PHI.

Consent-Level Controls

Granular data consent levels prevent cross-organization sharing. Each provider controls exactly what data contributes to ecosystem learning.

See pediatric intelligence in action.

Triage a health record. Correct the AI. Watch the learning loop adapt.

Kaia Health Workflow

6-Stage Industry Process

Only pediatric AI platform that publishes per-age-group milestone detection accuracy, urgent sensitivity, and screening completion rates. Epic has no pediatric specialization. Every pediatrician correction improves the model for all practices.

📋
Stage 1

Screening & Intake

Developmental screening questionnaires, growth measurements, immunization records, parent-reported milestones

HIPAA — PHI encryption at rest and in transit

🧠
Stage 2

Clinical Decision Support

AI-powered milestone analysis, age-adjusted risk scoring, evidence-based recommendations, flagged concerns

FDA SaMD — clinical decision support classification

🤝
Stage 3

Care Coordination

Specialist referral management, care plan generation, follow-up scheduling, parent communication

📈
Stage 4

Outcomes Tracking

Longitudinal progress tracking, intervention effectiveness, developmental trajectory analysis

21st Century Cures Act — interoperability requirements

🌍
Stage 5

Population Intelligence

Cross-practice benchmarking, CDC comparison, demographic disparity analysis, early intervention impact

🔄
Stage 6

Feedback Loop

Physician corrections feed 5-layer intelligence engine, model retraining, accuracy improvement tracking

HIPAA (Health Insurance Portability and Accountability Act)COPPA (Children's Online Privacy Protection Act)FDA SaMD (Software as a Medical Device)21st Century Cures Act (Interoperability)FHIR R4 (Interoperability Standard)SOC 2 Type II

Transparent Benchmark

Milestone Detection Accuracy

Target: 90% | Industry average: 72%

No competitor in Health publishes this data.