Sanova
AI signal extraction

Turn messy recordsinto auditabledecisions.

Clinical signals, review logic, anomalies, and source-linked evidence for prior auth, utilization review, and program integrity.

Early product trials only: 12+ clinic owners have tested the web app and shared feedback.
HIPAA + BAA SSO/SAML VPC + KMS Fine-grained RBAC
Decision Intelligence
review engine
Prior Auth Signal Layer
Guideline match
92%
Confidence
88%
Anomalies
04
decision patternlive
Source Trace
linked
clinical note span cited
guideline section mapped
claim logic preserved
Review Yield
approval accuracy91%
review speed84%
appeal packetready
Audit-ready
every decision tied back to source evidence
Decision packet
explanation + evidence + export
+8–15%
approval accuracy
↓ 20–30%
review time
↑ 10–18%
recovery yield
full
auditability
Use cases

High-impact payer workflows.

Utilization Review
medical necessity, guideline mapping, and gap detection
Program Integrity
claims anomalies, pattern shifts, explainable flags
Clinical Signals
source-linked facts across notes, labs, meds, imaging
Capabilities

More product.Less explanation.

AI Insights
question answering with visual evidence
sourcesconfidencereasoning
answer flowlinked
signal trendactive
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Data Signals
longitudinal extraction and drift monitoring
stitchingentitiesalerts
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Security
governance, access, and audit controls
ssorbacaudit
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Review Packets
exportable explanations and evidence bundles
summarypacketappeals
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Transcription Layer
structured notes with coding and QA checks
soapcodesquality
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Document Control
retention, policies, and secure sharing
tagssharingretention
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Decision flow

Faster review.Clearer logic.

Step 1

Ingest

docs, notes, claims normalized

system panelactive
Validate on sample records