Hart provides a cloud‑native data platform that ingests, normalizes, validates, and stores healthcare information from EHRs, labs, imaging, devices, and claims into a unified, queryable repository. The platform’s universal adapters and intelligence layer convert heterogeneous formats to a standard model (FHIR, HL7, C‑CDA, etc.) and stream validated data via APIs for analytics, AI, clinical dashboards, and research, helping health systems, payers, and research groups reduce vendor redundancy, lower costs, and enable value‑based care and trial recruitment.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations generate massive amounts of data from EHRs, labs, imaging, devices, and claims, but the information remains siloed, inconsistent, and difficult to access, leading to high operational costs and limited ability to use data for care improvement or research.
Solution
Hart offers a cloud‑native healthcare data platform that ingests data from any source, normalizes it to a unified model, validates quality, and stores it in a secure, queryable repository. The platform’s microservices‑based architecture and container orchestration provide scalable, event‑driven processing, while built‑in metadata and governance ensure compliance with standards such as FHIR, HL7, C‑CDA, LOINC, SNOMED CT, and X12. Validated data can be streamed in real time via APIs to analytics, AI engines, clinical dashboards, or downstream systems, enabling hospitals, payers, and research groups to consolidate legacy systems, reduce vendor redundancy, and activate data for value‑based care, population health, and clinical trials.
Target Audience
Primary customers are health system IT leaders, payer and ACO data teams, and clinical research organizations that need a unified, compliant data foundation for operations, analytics, and trial recruitment.
Features
- Universal Adapter for secure, bi‑directional connections to EHRs, labs, imaging, devices, claims and external APIs, supporting over 150 pre‑built transformation models
- Intelligence Layer that normalizes heterogeneous formats (FHIR R4/R5, HL7 v2.x, C‑CDA, X12, CSV, JSON) and applies terminology mapping (LOINC, SNOMED CT, ICD‑10, RxNorm)
- Automated validation pipelines that check completeness, consistency, and regulatory compliance across millions of records
- Persistent Data Pipeline with multi‑protocol support (FHIR, HL7, Direct DB, SFTP, REST, webhooks) delivering low‑latency, event‑driven data streams for real‑time integration
- Scalable cloud‑native storage using both relational and NoSQL repositories, with high‑availability, automated failover and disaster recovery
- Integrated metadata registry for data lineage, governance, and auditability, supporting HIPAA and other compliance requirements