Valiance Health offers a cloud‑native data lakehouse that ingests, de‑identifies, and transforms clinical, claims, and registry feeds into a governed OMOP Common Data Model repository, with APIs for DRG grouping, terminology mapping, and dynamic pricing. The platform enables large health systems and payers to run AI models, conduct value‑based care analytics, and maintain HIPAA/PDPA compliance through multi‑tenant isolation and role‑based access controls.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations struggle with fragmented clinical, billing, and registry data stored in incompatible systems, making it difficult to create a unified, standards‑based view required for reliable AI and value‑based care analytics. Strict regulatory mandates (e.g., HIPAA, PDPA) further complicate data sharing, while reliance on raw billing codes omits clinical severity, leading to inconsistent model outputs.
Solution
Valiance Health delivers a cloud‑native, AI‑ready data lakehouse that ingests raw health‑system feeds, de‑identifies protected health information, and transforms the data through neural‑network pipelines into a governed, analytics‑ready repository. The platform standardizes all inputs to the OMOP Common Data Model, enriches records with automated coding and entity extraction, and enforces enterprise‑grade multi‑tenant isolation and role‑based access controls. A suite of enterprise APIs—DRG grouper, terminology server, and dynamic pricing engine—exposes classified, FHIR‑compatible data for downstream applications, enabling real‑time pre‑authorization, cost transparency, and outcome measurement. By providing a single, secure foundation, Valiance empowers providers and payors to run AI models, generate value‑based performance scores, and execute cost‑optimization initiatives with confidence.
Target Audience
Primary customers are large hospital networks, health systems, and payer organizations that need a consolidated, compliant data foundation to support AI‑driven value‑based care, cost‑optimization, and interoperable health‑IT applications.
Features
- AI‑driven ingestion pipeline that accepts EHR, claims, registries, and operational feeds (TrakCare, IRIS, ODBC‑compatible sources) and outputs structured OMOM CDM tables
- Automated PHI de‑identification with full audit trail, supporting HIPAA and PDPA compliance
- Real‑time DRG grouper API with region‑specific logic, ICD‑10/ICD‑9 support, and batch processing capabilities
- Comprehensive terminology server offering cross‑mapping for ICD‑10/11, SNOMED CT, LOINC, RxNorm, and FHIR R4 compatibility (roadmap)
- Dynamic price‑tiering API that generates guarantee letters, ensures price‑transparency compliance, and integrates marketing analytics
- Multi‑tenant data lakehouse with encryption at rest and in transit, role‑based access control, and lineage tracking for secure data governance
- Scalable cloud deployment with zero‑install onboarding, supporting both real‑time queries and large‑scale batch analytics
- Built‑in analytics dashboards for provider performance scoring, network adequacy, and value‑based care metrics