RhinoDHE

Generative AI-powered data harmonization and FHIR transformation with human-in-the-loop validation and federated security.

Overview

RhinoDHE™ is a Generative AI-powered data harmonization platform designed for data engineers and data subject matter experts (SMEs) working in life sciences and healthcare settings. It enables organizations to quickly map their local data models to target data models — including FHIR — while keeping all data securely behind the data custodian's firewall. RhinoDHE is purpose-built for cross-organization data collaborations, making consortium data collaborative and AI-ready through intelligent, human-in-the-loop validation workflows.

Built on the Rhino Federated Computing Platform, RhinoDHE supports both internal teams and external data SMEs performing mapping work on an organization's behalf, all governed by robust security controls including role-based access controls, encryption, and audit logs.

Data Access

Integrated monitoring to track data access and usage
Mapping coverage and data distribution visibility
Network heuristics to support informed decision-making

Syntactic Mapping

No-code and low-code ETL design for accessible pipeline creation
AI-driven mapping predictions to accelerate field-level alignment
Auto-complete transformations to reduce manual effort

Semantic Mapping

Mapping predictions powered by Generative AI
Collaborative review workflows enabling multi-stakeholder validation

ETL Development

Off-the-shelf ETL components for rapid deployment
Auto-ETL capability to automatically generate transformation pipelines
Ability to reuse and refresh pipelines with updated mappings

ETL Execution

Integrated and federated execution modes to suit different infrastructure needs
On-platform and off-platform usage flexibility

Data Quality and Monitoring

Integrated monitoring throughout the harmonization lifecycle
Mapping coverage and data distribution reporting
Network heuristics for ongoing quality assessment

RhinoDHE is well-suited for organizations seeking to accelerate cross-organizational data harmonization within research consortia or federated networks. Its foundation in the Rhino Federated Computing Platform ensures that all harmonization activities comply with data governance requirements, while GenAI capabilities significantly reduce the time and expertise required to achieve interoperability.