News | RSNA 2025 | November 29, 2025

AdvaPACS is a complete cloud imaging platform (PACS + VNA) designed for scalability, AI-enabled workflows, faster reporting, and operational efficiency, without infrastructure, upfront costs or lock-in.

AdvaHealth Solutions Introduces Cloud-Native, AI-Forward Imaging Platform

Photo: AdvaHealth Solutions


Nov. 27, 2025— AdvaHealth Solutions is highlighting AdvaPACS, its cloud-native and AI-forward imaging platform at RSNA 2025. AdvaPACS brings together imaging workflow capabilities, including reporting, diagnostic viewing, clinician access and patient access, through a fully managed cloud-native platform that requires no local servers, no complex setup, and can be activated in under 15 minutes.

AdvaPACS is built as a true cloud-native platform, not a lift-and-shift version of legacy PACS. It eliminates the need for local servers and reduces ongoing maintenance, while allowing organizations to scale imaging based on actual usage through a clear, usage-based OpEx model.

A Complete Cloud Imaging Platform

AdvaPACS brings imaging storage, reporting, workflow, diagnostic viewing and access for radiologists, clinicians, and patients together on a single cloud-native platform. It is designed for multi-site healthcare environments, imaging networks, and hospital groups that want centralized management without the need for local infrastructure.

AdvaPACS supports AI-enabled workflows, starting with AI-driven voice recognition through RadPair, which is integrated into reporting. Work is also underway with Harrison.ai, and the platform allows healthcare providers to connect additional AI solutions as their clinical needs grow.

AdvaPACS includes:

  • Highly configurable radiologist reporting worklist
  • FDA-approved zero-footprint viewer
  • AI-driven voice recognition via RadPair for faster reporting
  • Clinician and patient access portals
  • Interoperability with hospital systems and imaging devices
  • Ability to connect additional AI solutions, with Harrison.ai integration in progress

Enterprise-Grade Security and Compliance

AdvaPACS meets healthcare security and privacy requirements in the regions where it is deployed, including:

  • HIPAA compliance
  • ISO/IEC 27001:2022 certification
  • Single Sign-On (SSO)
  • Multi-Factor Authentication (MFA)
  • Regular penetration testing
  • Regional data residency aligned with local regulations

Flexible Use Cases 

AdvaPACS supports multiple operational models, including:

  • Primary Production PACS
  • Hybrid Cloud PACS
  • Disaster Recovery PACS
  • Imaging Business Continuity Platform

Modern Ownership Model

AdvaPACS redefines imaging ownership with:

  • Minimal upfront setup costs
  • No user licensing fees
  • No modality connection fees
  • No annual support or maintenance fees
  • No lock-in contracts
  • Transparent, usage-based OpEx spending

This model gives healthcare providers full clarity and control over how they invest in imaging technology.

"Providers want cloud-native imaging that is fast to deploy, clinically capable, secure, and ready for AI, without being tied to rigid contracts or proprietary ecosystems. AdvaPACS has been engineered around these needs, with cloud-native architecture, AI-enabled workflows, strong interoperability, and a modern ownership model that removes traditional barriers," said Lynette Fong, chief commercial officer, AdvaHealth Solutions.

"Modern radiology demands cloud-native infrastructure and seamless AI integration. AdvaPACS gives Frontier Radiology and Harrison.ai Services a platform that can scale instantly, streamline reporting and reduce the operational drag created by legacy systems. This collaboration accelerates our mission to modernize imaging for providers nationwide and ensures seamless AI integration. AdvaPACS gives Frontier Radiology and Harrison.ai Services a platform that can scale instantly," said Joshua Ewell, president of Frontier Radiology | Harrison.ai services.

Live demonstrations of AdvaPACS will run throughout RSNA, showcasing reporting workflows, RadPair voice recognition, and a preview of AI capabilities, along with its cloud-native administration tools. (Booth #3265)  


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