Kaia Health
Complete health journey intelligence that learns from every encounter.
Kaia Health runs the complete care journey — for adults AND children. Adult clinical decision support and care-gap closure lead the market; pediatric developmental screening is a named strength within it. From screening through population health, every clinician correction makes the system measurably better — with HIPAA-compliant audit trails.
The first customer in this vertical onboards on the hardened template that stood up Kaia Oil & Gas — spec to live in production in under two weeks.
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.
Close care gaps and surface rising risk across the whole panel
Population-health view across every patient — adult chronic-care and pediatric alike. Flag care gaps, track intervention outcomes, and approve escalations.
AI-assisted review with clinical confidence scoring
Review flagged findings — adult risk scores and pediatric milestones — validate care recommendations, and improve detection accuracy with every correction.
Reduce documentation time by 50% with automated intake
Track scheduling, billing, and compliance documentation across the practice.
Continuous HIPAA compliance monitoring and audit readiness
Every clinical decision is logged. Incident tracking and regulatory filing support built in.
Walk Kaia Health end to end today, and onboard first on the hardened template that stood up Kaia Oil & Gas in under two weeks.
Published benchmarks
Targets we publish — and improve every month.
92%+
CDS Concordance · target
Clinical-decision-support recommendations concordant with the guideline-correct answer per condition — the adult main-market benchmark. Day-0 target, published monthly.
90%+
Care-Gap Detection · target
Open preventive and chronic care gaps surfaced across the panel, adult and pediatric — a Day-0 target, published monthly.
90%+
Milestone Detection Accuracy · target
Developmental-milestone delays detected across every pediatric age band, guideline-anchored — the high-whitespace pediatric segment. Day-0 target, published monthly as measured.
95%+
Urgent-Referral True-Positive · target
True-positive rate on urgent findings — acute adult presentations and urgent developmental referrals, the safety-critical catches surfaced, not missed. Day-0 target, published monthly.
Day-0 gold-set targets — designed to be measured against a published gold set at launch and published monthly thereafter. Forward-looking targets, not yet-achieved results.
Full Lifecycle
Every stage of the health journey, powered by intelligence.
Screening & Intake
Patient intake, preventive-care and care-gap surfacing, risk stratification, and social determinants — adult and pediatric.
Clinical Decision Support
Guideline-concordant recommendations (assessment folded in) with confidence-scored reasoning at the point of care — USPSTF and specialty guidelines for adults, AAP/CDC for children.
Care Coordination
Provider review queues, referral management, and multi-provider care-plan tracking.
Outcomes Tracking
Treatment-effectiveness analysis, readmission prevention, and patient-reported outcomes.
Population Intelligence
Cohort analytics, care-gap closure across panels, and published quality metrics (CMS/USPSTF measures).
Feedback Loop
Every clinician correction enters the 5-Layer Triage and improves the model for all — the always-on learning loop across every stage.
Classification
Four categories. One confidence score. Full clinical reasoning.
Acute presentations needing immediate attention — chest pain or breathing difficulty in adults, fever spikes or allergic reactions in children.
Standard visits — adult annual wellness and chronic-care monitoring, pediatric well-child checkups and vaccinations.
Proactive screening and care gaps — USPSTF-based adult screenings, pediatric developmental milestones and growth tracking.
Behavioral and mental-health indicators and social determinants requiring a careful clinical approach — adult and pediatric.
The Learning Loop
Every correction makes the system smarter.
AI Triages
Submit a health record. The Intelligence Engine analyzes symptoms, history, adult risk factors and pediatric developmental markers with confidence-scored assessments.
Clinician Reviews
Clinicians review AI triage results. When the model gets it wrong, they correct it — adding clinical context the AI missed.
System Learns
Each correction becomes a governed signal. The model improves on adult and pediatric patterns, measurably, every month.
Market Opportunity
Built for the scale of adult and pediatric healthcare.
Health tech market size
Confidence threshold (HIPAA)
Designed for HIPAA workloads · BAA on request
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.
Same Intelligence Engine · Every Kaia Product
See health intelligence in action.
Triage a health record. Correct the AI. Watch the learning loop adapt.
Kaia Health Process
6-Stage Industry Process
The care journey — Screening & Intake, Assessment, Clinical Decision Support, Care Coordination, Outcomes, and Population Health — run end to end for adults AND children. Adult clinical decision support and care-gap closure are the main market; pediatric developmental screening is a high-whitespace segment within it. Kaia sells the same workflow to four buyer types — consumer, primary-care practice, health system, and payer — and is the only healthcare AI that publishes auditable, per-condition accuracy benchmarks that improve with every clinician correction. The engine drafts, cites, and proposes at the 0.90 regulated confidence floor; a credentialed clinician reviews, corrects, and signs every care decision.
Kaia runs process preparation, routing, evidence assembly, and correction learning; authorized humans retain final regulated authority.
Screening & Intake
Adult symptom assessment, preventive-care and care-gap surfacing, and risk stratification; pediatric developmental screening, growth logging, and immunization tracking. Referrals and outside records resolved against the chart; FHIR R4 encounter sync. (Assessment is folded in here and at CDS per the spec.)
HIPAA — PHI encryption at rest and in transit
Clinical Decision Support
Guideline-concordant recommendations at the point of care — USPSTF and specialty-society guidelines for adults, AAP/CDC for children. Events classified Urgent / Routine / Preventive / Sensitive with confidence and reasoning; risk scoring with explainable factors.
FDA SaMD — clinical decision support classification
Care Coordination
Provider review queues, specialist referral management, care-plan generation, follow-up scheduling, and patient/family communication — adult chronic-care and pediatric alike.
Outcomes Tracking
Treatment-effectiveness and recovery monitoring, readmission-risk follow-up, patient-reported outcomes, and developmental trajectory analysis — longitudinal record building via FHIR.
21st Century Cures Act — interoperability requirements
Population Intelligence
Cohort analytics and quality measures (HEDIS, CMS Star inputs, USPSTF), care-gap closure across panels, risk stratification, and demographic-disparity analysis — with cross-cohort benchmarking published per condition.
Feedback Loop
Every clinician correction — adult and pediatric — enters the 5-Layer Triage, routes to the right learning mechanism, and moves the published benchmark for all.
Target Benchmark Posture
Clinical Decision Support Concordance
Target: 92%
Targets presented as targets until production baselines support public RRES publication.