The Aurabox Maturity Model
The Aurabox Maturity Model provides a structured framework for healthcare organisations to assess and advance their capabilities in sharing medical imaging across institutional, technical, and jurisdictional boundaries.
Evaluate your progress towards full interoperability
As patient care increasingly depends on timely access to comprehensive imaging records, the Aurabox Maturity Model identifies five progressive maturity levels across a set of core and enabling capabilities. It also introduces additional dimensions to support implementation readiness, and outlines a scoring methodology to assist organisations in strategic planning.
Foundation
Coordination
Collaboration
Integration
Standardisation
The Model
Foundation
Imaging sharing is fragmented, manual, and not fit for digital care delivery. Most processes rely on email, CDs, or phone calls. Consent, identity validation, and compliance are either ad hoc or absent.
Next steps
Focus on mapping current-state workflows and identifying the most common imaging sharing pain points. Start by formalising consent, identity, and request logging practices. Pilot a basic imaging portal or retrieval solution.
Coordination
Some processes are structured, but imaging requests and fulfilment are still largely reactive. External users face delays, and staff often rely on email or manual uploads.
Next steps
Implement shared tools to centralise external access (e.g. request portals). Begin linking imaging workflows to patient onboarding or referrals. Establish a repeatable consent capture process and clarify responsibilities.
Collaboration
The organisation has made real progress: shared portals are in place, some automation exists, and teams have consistent workflows. External access is more reliable, but often still requires logging into separate systems.
Next steps
Prioritise integrating imaging into internal scheduling and referral workflows. Move towards policy-based sharing and role-based external access. Improve visibility of imaging availability for staff and external providers.
Integration
Imaging sharing is well integrated into clinical operations. External users receive timely access, requests are fulfilled automatically, and consent/identity are managed digitally. There is strong governance and confidence in processes.
Next steps
Expand integration to support automated patient onboarding and event-driven imaging exchange. Adopt DICOMWeb/FHIR APIs where possible. Begin working with external providers on shared governance and compliance frameworks.
Standardisation
Your imaging workflows are fast, seamless, and scalable. Sharing is interoperable, secure, and standards-aligned (FHIR, DICOMWeb, OAuth, etc). Consent, access, identity, and auditability are enforced programmatically.
Next steps
Leverage your position to participate in regional or national interoperability efforts. Support AI diagnostics, research de-identification pipelines, and federated second opinions. Serve as a model site for best practice sharing and innovation pilots.
Access the model
Get free access to the scoring model and guidance.