Healthcare Data Platforms & Imaging Infrastructure
OraDigit documents architecture and research directions for governed imaging-data workflows. Any implementation would require project-specific security, privacy, interoperability, and institutional review.
What We Deliver
- DICOM Data Infrastructure
Structured storage, indexing, and retrieval of medical imaging across PACS and research environments. - Governed Pipeline Design
Plan encryption, access control, provenance, retention, and institutional requirements before moving imaging data. - Metadata Normalization
Clean, harmonize, and enrich imaging metadata for AI training, clinical dashboards, and cross-center comparison. - Structured Research Repositories
Build clean, queryable image datasets for clinical trials, research studies, and AI development workflows. - FHIR & HL7 Integration
Integrate imaging with EMR and clinical data systems using healthcare interoperability standards.
Use Cases
- Hospitals & Imaging Networks
Centralize and secure imaging data across modalities, sites, and departments. - Academic Research Labs
Prepare clean, de-identified image datasets for reproducible science and publication. - AI Model Training & Evaluation
Enable robust model development with structured, versioned imaging pipelines. - Governance and Audit Planning
Define data lineage, access logging, backup, retention, and review responsibilities. The public site does not certify regulatory compliance.