Move imaging to the cloud
with more confidence.
Moving PACS to the cloud should reduce complexity, not create a bigger IT project. AdvaPACS is a fully managed, cloud-native platform designed to reduce infrastructure burden, connect with existing systems, and give IT a more practical path to modernization.
Cloud-native from the start
Cloud PACS should be more than hosting traditional PACS infrastructure somewhere else.
AdvaPACS runs as a cloud-native SaaS platform, without requiring proprietary servers or storage hardware on site. Storage and compute scale with imaging needs, while modalities can connect through a lightweight Gateway or, where supported, directly to the cloud.
That means less infrastructure for IT to buy, maintain, refresh, and plan capacity around.
- Scalability Elastic
- On-Premise Servers None Required
- Software Updates Fully Managed
- Modality Connection Direct / Gateway
Connect without rebuilding your environment
Moving to the cloud still has to work with the systems already around it. AdvaPACS supports standards-based interoperability to integrate seamlessly.
DICOM and DICOMweb
Connect modalities, imaging systems and viewers natively.
HL7 and FHIR
Support deep integration with hospital information and clinical systems (EHR/RIS).
Open APIs
Connect partner applications and future tools without depending on a closed ecosystem.
SAML SSO
Fit imaging access seamlessly into your organization's existing identity workflows.
The goal is to modernize the imaging platform without forcing IT to redesign everything around it.
Security that fits hospital IT requirements
Cloud adoption has to earn the confidence of security and IT teams. Security and access control are part of the platform architecture, not something added later.
AdvaPACS natively supports:
- ISO/IEC 27001:2022
- HIPAA compliance
- Encryption (Rest & Transit)
- Multi-Factor Auth (MFA)
- SAML SSO
- Role-based access (RBAC)
- Detailed audit trails
- Regional data residency
Reduce the day-to-day infrastructure burden
A modern PACS should not simply move infrastructure work from one place to another. AdvaPACS is delivered as a fully managed cloud-native service, so IT does not have to maintain proprietary PACS hardware or local archive servers for the standard deployment.
That gives internal teams more room to focus on integration, security, workflow and the broader technology priorities of the organization.
Cloud is also a workflow decision
The success of PACS modernization is not measured only by where the system runs. It also depends on whether radiologists, clinicians and imaging teams can work effectively after the move. AdvaPACS brings worklists, diagnostic viewing, access, and sharing into the same environment.
That is why we see cloud strategy and imaging workflow as connected decisions, not separate projects.
Build an imaging foundation ready for AI
AI adoption becomes harder when every new tool creates another integration project or another disconnected workflow.
AdvaPACS uses an open, standards-based architecture designed to support third-party AI and partner integrations as imaging needs evolve. The goal is not to add AI for the sake of AI. It is to give IT a platform that can support future AI-enabled workflows without having to rethink the imaging foundation each time.
AI readiness, interoperability, and long-term platform direction.
One platform.
Fewer moving parts.
All within a fully managed cloud-native platform.
- Cloud-native PACS
- Enterprise Imaging
- AdvaView diagnostic viewing
- Worklists and workflow
- Clinician and patient access
- Standards-based integrations
- Hybrid Archive
- Disaster Recovery & BCP
700M+
Medical images managed
5,000+
Active users
9
Countries deployed
Planning your next imaging move?
Whether you are evaluating cloud PACS, preparing for modernization, reviewing integrations, or thinking about the longer-term imaging architecture, talk with us about what the move would look like in your environment.
Going to RSNA?
Meet the AdvaHealth team at RSNA to talk about cloud-native PACS, Enterprise Imaging, integration, workflow and AI readiness.
