The Problem

Healthcare is becoming increasingly dependent on advanced analytics, AI models, precision medicine, and cross-institution collaboration. Yet hospitals and governments face several growing challenges:

1. Sensitive health data sits fragmented across departments and systems, often using incompatible formats.
2. Regulations such as GDPR, HIPAA, NIS2, and the EU AI Act introduce strict requirements on data handling and security. 
3. Many healthcare institutions lack secure ways to collaborate without transferring raw patient data or losing control over it.
4. Outcome measurement, research, and VBHC models depend on results that are trusted and reproducible, yet analysis processes are often exposed to human error, manipulation or undocumented changes. 
5. Nations are increasingly concerned about sovereignty risks, especially related to genomic and biomedical data. 
6. Traditional cybersecurity models are not suited to address these problems. Centralized systems create single points of failure and cannot ensure secure collaboration across hospitals, research teams and external partners. 

These issues slow down innovation, raise compliance costs, and create real risks for patient privacy and institutional trust. It also makes it difficult to modernize, to use AI, and to work together across institutions.

By 2025 it has become clear that when organizations move to replace their first or second generation EMRs, the priority must be to separate data from systems. They need a data persistence layer that is forward and backward compatible, where hospitals or institutions control access to their own data at all times, independent of any vendor.

The timing also matters. At a moment when the European Union is placing strong emphasis on data sovereignty and technology sovereignty, this type of decision cannot be separated from the broader geopolitical and regulatory landscape. It is a direct response to what is happening around us.

From Data Control to Secure Collaboration

We advocate for a foundational stance built on a defense-grade, zero-trust architecture specifically designed for healthcare environments. This is giving hospitals a way to use and combine sensitive data without ever moving the raw data from their own infrastructure. 

The result is optimal utilization and management of all data within the institution or hospital’s own infrastructure. It strengthens sovereignty and compliance, enables secure collaboration and accelerates scientific and clinical innovation while keeping privacy intact.

How it works in simple terms

No user, system, or device is trusted by default. Every request is verified, ensuring consistent protection across hospitals, research teams, and external partners. 

Instead of moving raw patient data across systems or to the cloud, Opvance sends an analysis instruction to the hospital system.

1. The hospital runs the analysis locally on its own data and only sends returns only the computed results, never the raw information.
2. This allows hospitals and institutions to stay in full control with preserved data sovereignty and no major privacy risks.

Works with all kinds of data

The foundational architecture can handle both structured data like tables and numbers, and unstructured data like text notes, images or genomics. Hospitals do not need to change how their systems store information.

Secure and trustworthy calculations

This approach also protects the steps used in any analysis. Analyses are reproducible, transparent and protected against manipulation- This ensures that calculations for research or value-based healthcare findings can be validated with confidence.

Fits into existing systems

This infrastructure does not require new hardware or major IT changes. It works in hospitals as they are today.

Enabling True Data Sovereignty: A Foundation of Zero-Trust Security

The shift to a vendor-independent data persistence layer is essential, but achieving true data and technology sovereignty requires more than just separating data from systems. For national and institutional data owners, sovereignty means maintaining full, uncompromised control over their data infrastructure, particularly in an era dominated by cloud services. This control is fundamentally built on the principle of Zero-Trust.

This imperative demands a solution that allows healthcare institutions to:

1. Own the Infrastructure with Transparency: Data must reside on infrastructure fully controlled by the institution or nation, whether on-premises or within a sovereign, certified cloud environment. This is complemented by full transparency into the underlying components, including Software Bill of Materials (SBOM) visibility, which prevents reliance on foreign providers for foundational data storage and processing capabilities and builds confidence through auditable trust.
2. Scale Cloud-Native Workloads Securely: To support advanced analytics, AI, and large-scale federated studies, the infrastructure must be capable of running highly scalable, cloud-native workloads (e.g., containerized applications, secure compute environments) within the institution’s sovereign domain. This capability is managed through Infrastructure as Code (IaC), ensuring consistent, auditable, and repeatable deployments that inherently adhere to security policies.
3. Establish Secure Execution Foundations with Immutable Logging: This infrastructure must serve as a verified execution layer where the Zero-Trust principle—never trust, always verify—is strictly enforced. It ensures that analysis instructions are executed locally, and only non-identifiable, aggregated results are ever shared. All operations are tracked via immutable logs, providing a tamper-proof record for forensic analysis and regulatory compliance, thereby removing the need for implicit trust.

Opvance provides the foundational infrastructure layer to meet these requirements, embodying the concept of building trust through verifiable certainty. Our architecture is designed not only to secure the data but also to provide the sovereign computational capacity for its use within a rigorous Zero-Trust framework.

• Secure Data Persistence: We create a secure layer that stores and manages data independent of legacy systems, making it forward and backward compatible while keeping it under the institution's full control and verified via automated compliance checks.
• Infrastructure for Innovation: This layer serves as the bedrock for the entire innovation ecosystem:
  • Secure Execution Environment (Zero-Trust enforced): It hosts the containerized sandboxes required to execute algorithms on local data, supporting federated studies and real-world evidence generation. Access is conditional and verified for every request.
  • High-Fidelity Sandboxes/Test Beds with IaC: Institutions can establish controlled, high-fidelity development sandboxes, accelerating the work of health tech innovators. These environments are provisioned using IaC, guaranteeing their configuration matches security best practices and is reproducible.
  • Scalability for AI and Precision Medicine with Auditable Transparency: By providing a trusted compute environment that includes SBOM visibility and immutable logs, Opvance ensures that complex, data-intensive workloads required for AI model training and precision medicine can be executed within the institutional boundaries, maximizing utility while guaranteeing sovereignty, compliance, and transparent accountability.

By integrating secure data persistence with sovereign compute capabilities and a comprehensive Zero-Trust security model, Opvance transforms the data control problem into an engine for national and institutional innovation, securing health data as a strategic asset for future healthcare by removing the reliance on assumed security.