Move, Govern, and Modernize Healthcare Data with Confidence
Radiant AI Health Data, Inc. is a healthcare data infrastructure company incorporated in 2025 and headquartered in Garland, Texas. The company provides migration, interoperability, governance, de-identification, and AI-readiness solutions for hospitals, imaging centers, and pathology organizations managing complex enterprise data environments. Radiant operates in strategic partnership with Health AI Data, Inc. — the partner-facing data network and research enablement entity — and develops the RAIHD Commander and RAIHD Cadet software platform, whose architecture has been in development since 2024.
Built for migration, interoperability, governance, de-identification, operational visibility, and long-term AI readiness.
On-Site De-identification. Zero Retention. Governed Data Pipeline.
The Radiant platform is built around one architectural principle: no protected health information (PHI) leaves the originating facility. De-identification occurs entirely on-site, inside the hospital or imaging center's own domain, before any data moves.
On-Site DICOM De-identification
RAIHD Cadet deploys within the facility's environment and scrubs all 18 HIPAA Safe Harbor identifiers from DICOM metadata headers — including names, dates, geographic data, device identifiers, and account numbers. It also handles burnt-in PHI: patient information rendered directly into image pixel data, a challenge specific to ultrasound and certain nuclear medicine studies that header scrubbing alone cannot address. Structured reports, measurements, and annotations associated with imaging studies are processed separately. Identifiers are removed — not encrypted or hashed — leaving no surface for re-identification attacks. De-identification is compliant with 45 CFR § 164.514(b) Safe Harbor method.
Burnt-in PHI refers to patient information (names, medical record numbers, dates) that is rendered directly into image pixel data - not just stored in DICOM headers. This occurs frequently in ultrasound and nuclear medicine studies. Header scrubbing alone cannot remove burnt-in PHI; pixel-level redaction is required.
Facility-Controlled Opt-Out Model
Each partner facility retains institutional control over how its de-identified data is used — not just whether it is used. At contract signing, facilities select which research categories to exclude: DNA modification research, specific disease areas, or any category that conflicts with community expectations. The facility receives a proportional revenue share for each study used in a qualifying research program, creating a recurring data asset from imaging archives that would otherwise generate no value after the initial diagnostic read. No facility is locked into categories it did not approve.
Migration & Orchestration Layer
RAIHD Commander coordinates PACS-to-VNA migrations, archive consolidation, HL7 interface management, and routing normalization across imaging and pathology environments. Supported modalities include X-Ray, CT, MRI, Ultrasound, PET/CT, Nuclear Medicine, Mammography, and Digital Tomosynthesis. The platform operates across DICOM, HL7 v2.x, and FHIR environments, with routing and workflow logic managed through the Radiant Flow orchestration layer. Migration activities are documented with chain-of-custody records and verified study counts throughout the transfer lifecycle.
Alpha Site and Distribution Strategy
Radiant's initial deployment is underway at a critical-access hospital in southwestern Oklahoma, with distribution targeting two established rural and community hospital networks representing a combined addressable market of more than 370 facilities.
Alpha Deployment — JCMH, Altus, Oklahoma
The alpha deployment site is Jackson County Memorial Hospital (JCMH) in Altus, Oklahoma — a critical-access hospital serving a rural patient population across southwestern Oklahoma. JCMH provides the real-world imaging environment against which the Radiant platform is validated: a multi-modality DICOM archive, active PACS infrastructure, and a patient population statistically underrepresented in current AI training datasets. Frank Festa, Radiant's Chief Operating Officer, serves as Director of Radiology at JCMH, ensuring direct clinical grounding in platform development and deployment decisions.
TORCH — Texas Rural & Community Hospitals
The Texas Organization of Rural & Community Hospitals (TORCH) represents more than 220 member hospitals across Texas — the primary initial distribution target. These facilities share the operational profile the Radiant platform is built for: limited internal IT resources, aging PACS infrastructure, and imaging archives with research data value that has never been unlocked. TORCH membership provides a structured channel for reaching rural and community facilities that lack the scale to pursue migration or de-identification projects independently.
OHA — Oklahoma Hospital Association
The Oklahoma Hospital Association (OHA) represents 148 member hospitals across Oklahoma, including rural, community, and critical-access facilities contiguous to the JCMH alpha site. OHA membership serves as the secondary distribution channel, providing access to a demographically similar patient population and facilities facing the same PACS modernization and data governance pressures. Combined, TORCH and OHA represent a total initial addressable market of 370+ hospitals across two adjacent states.
Migration, Interoperability, Governance, and AI Readiness
Four capability areas addressing distinct phases of the healthcare data modernization lifecycle.
Data Migration & Consolidation
Structured migration from PACS, VNA, and legacy archives into modern target systems — with chain-of-custody documentation, verified study counts, and minimal disruption to active clinical workflows. Supports DICOM C-MOVE, C-STORE, and WADO-based transfer protocols.
Learn more →Enterprise Interoperability
HL7 interface normalization, DICOM routing, and workflow orchestration across imaging systems, RIS platforms, EHR integrations, and downstream destinations. Supports multi-site environments where studies move across organizational boundaries.
Learn more →De-identification & Governance
Full HIPAA Safe Harbor de-identification across all supported DICOM modalities, including burnt-in PHI detection and pixel-level redaction for ultrasound and nuclear medicine. Generates a traceable, auditable record of how each study was processed — the documentation basis for HIPAA compliance attestation and re-identification risk management.
Learn more →AI-Ready Data Infrastructure
Prepares imaging and pathology archives for clinical and research AI programs — standardizing DICOM metadata, normalizing study structure, and creating governed, reproducible dataset pipelines that AI researchers and model developers can rely on for training and validation across diverse patient populations.
Learn more →Radiant Product Framework
Five coordinated modules operating under the RAIHD Commander orchestration layer, with RAIHD Cadet deployed on-site at each partner facility.
Radiant Flow
Workflow and routing orchestration for controlled DICOM and HL7 data movement across systems, sites, and destinations.
Radiant Migrate
Migration and consolidation controller for PACS replacement, VNA modernization, and enterprise archive transitions with verified chain-of-custody.
Radiant Govern
De-identification engine handling DICOM header scrubbing, burnt-in PHI detection, pixel-level redaction, and compliance documentation.
Radiant Bridge
Integration layer for HL7 normalization, FHIR connectivity, and cross-system interoperability across imaging and EHR environments.
Radiant Monitor
Centralized visibility, alerting, and operational oversight across routing, migration, and de-identification activities.
Built for Complex Healthcare Data Environments
Hospitals & Health Systems
Critical-access, rural, and community hospitals managing PACS migrations, aging archives, and multi-system imaging environments with limited internal IT resources. Over 1,000 small and mid-sized U.S. hospitals face financial stress; the Radiant data partnership model creates a revenue stream from imaging archives at no cost to the facility.
Imaging Centers
High-volume outpatient imaging environments requiring workflow normalization, platform transitions, and structured DICOM data movement across sites and referring providers.
Pathology Organizations
Digital pathology programs building interoperability foundations and governed data pipelines for clinical operations and future AI collaboration with research institutions.
Academic & Research Programs
AI developers and research institutions that need access to de-identified imaging datasets from rural and community facilities — populations statistically underrepresented in current AI training sets, which increases model equity and generalizability.
Built and Led by Healthcare Operators
The founding team and board bring direct operational experience from the imaging environments and healthcare organizations the platform is built to serve.
Jim Cook — Founder, President & CEO
Nearly 30 years in healthcare IT spanning PACS administration, enterprise imaging, DICOM and HL7 systems, and clinical workflow design. Former Senior PACS Administrator at Northwestern Medicine across three hospitals and five PACS environments; former Senior Solution Consultant at Merge Healthcare (IBM). Currently Senior PACS Administrator and Clinical Application Support Specialist IV at Solis Mammography, Addison, Texas. Also serves as Founder & CEO of Health AI Data, Inc.
Frank Festa — Chief Operating Officer
Director of Radiology at Jackson County Memorial Hospital in Altus, Oklahoma — the Radiant alpha deployment site. Brings direct operational leadership of the radiology and imaging environment the RAIHD platform is validated against. Decades of radiology operations, clinical workflow, and multi-site healthcare systems experience.
James Cook — Chief Financial Officer
Nearly 25 years of U.S. Air Force medical and laboratory leadership, including management of the largest clinical reference laboratory in the Department of Defense: 98 personnel, 2.3 million diagnostic results annually, 204 military hospitals. Directed the Air Force's Medical Laboratory Technician instructor program, raising national certification pass rates from 67% to 92%. Co-Founder and CFO, Health AI Data, Inc.
Lt. Gen. Jason T. Evans, U.S. Army (Ret.) — Leadership Chair
Retired three-star general. Former Commanding General, U.S. Army Human Resources Command — responsible for talent management across 500,000+ soldiers, 3,000 employees, and a $3 billion annual budget. Former Deputy Chief of Staff, G-9, with budget oversight exceeding $18 billion across 141 Army installations worldwide. Brings enterprise-scale governance and board discipline.
Planning a PACS Migration, Archive Consolidation, or AI Data Initiative?
Radiant AI Health Data works with hospitals and imaging organizations that need a practical, governed foundation for data migration, interoperability, and AI readiness. The conversation starts with your environment — not a demo.
Common Questions About Radiant AI Health Data
Quick answers to what hospital IT directors and compliance officers ask us most.
❓ "How do you remove burnt-in text from ultrasound images when header scrubbing isn't enough?"
✅ Answer: RAIHD Cadet performs pixel-level redaction. Unlike header-only tools, our platform detects and redacts PHI rendered directly into DICOM pixel data - a requirement specific to ultrasound and nuclear medicine studies. The redaction is permanent, auditable, and compliant with 45 CFR § 164.514(b).
❓ "What makes your on-site de-identification different from cloud-based services?"
✅ Answer: Zero PHI leaves your facility. Cloud services require data to be transmitted before de-identification. Radiant de-identifies entirely on-site - inside your firewall - before any data moves. This eliminates re-identification risk and satisfies strict hospital data governance policies.
What does Radiant AI Health Data do?
Radiant AI Health Data provides PACS migration, VNA consolidation, enterprise interoperability, DICOM de-identification, data governance, and AI-readiness services. Its RAIHD Commander and RAIHD Cadet platform deploys on-site at partner facilities — scrubbing all 18 HIPAA Safe Harbor identifiers from DICOM headers and pixel data before any data leaves the facility's domain. The alpha deployment site is Jackson County Memorial Hospital in Altus, Oklahoma.
Who is Radiant AI Health Data for?
Hospitals, imaging centers, and pathology organizations — particularly small and mid-sized facilities undertaking PACS migrations, archive modernization, or AI-readiness programs. Primary distribution targets are TORCH member hospitals (220+ Texas rural and community facilities) and OHA member hospitals (148 Oklahoma facilities).
What modalities and formats does the platform support?
The platform supports X-Ray, CT, MRI, Ultrasound, PET/CT, Nuclear Medicine, Mammography, and Digital Tomosynthesis. It handles DICOM, HL7 v2.x, and FHIR environments, including burnt-in PHI removal from pixel data — a requirement specific to ultrasound and certain nuclear medicine studies that header scrubbing alone cannot address.