Symphonic was asked to produce a solution architecture for Inventive’s POC for their rapid AI-based COVID testing (using light spectrograph). The architecture recommended was multi-tenant and federated to allow for multiple types of customers as well as integration with government and medical streams such as approved Electronic Medical Record systems (CERNER, AUSLAB, OmniLab).
Healthcare technology solutions, particularly those involving diagnostics and data integration, require scalable architectures that can securely connect with multiple clinical systems. As digital health ecosystems expand, interoperability, regulatory compliance, and data security become critical factors in enabling reliable and scalable healthcare delivery.


Inventive Health is a healthcare technology company focused on developing innovative solutions to address complex clinical challenges. During the COVID-19 pandemic, the organisation initiated a Proof of Concept (POC) to explore AI-based rapid testing using light spectrograph technology.
To support this initiative, Symphonic was engaged to design a solution architecture capable of supporting a multi-tenant model, enabling diverse customer use cases, and integrating with key Electronic Medical Record (EMR) systems such as CERNER, AUSLAB, and OmniLab.
Designing a scalable and compliant architecture for a healthcare POC introduced several technical and regulatory challenges.


To support the POC and future scalability, the architecture was designed to balance regulatory compliance, system performance, and interoperability. Through stakeholder collaboration and targeted system design, the solution enabled secure, scalable, and integrated COVID testing capabilities.
Conducted workshops and interviews with Inventive Health's technical and business teams to understand specific requirements and objectives. Engaged with government and medical stakeholders to ensure alignment with regulatory standards.
Designed a multi-tenant architecture that ensures data isolation and scalability. Utilised a federated model to distribute data processing across multiple nodes. Integrated a light spectrograph technology module for rapid and accurate COVID testing.
Implemented adapters for seamless integration with popular EMR systems, including CERNER, AUSLAB, and OmniLab. Ensured compliance with Health Level Seven (HL7) standards for interoperability.
Designed the architecture to scale horizontally to accommodate increasing testing demands. Designed the use of load balancing and distributed computing techniques for optimal performance.
Designed robust security measures, including data encryption, access controls, and audit trails. Established the process for regular security audits and compliance checks to adhere to healthcare regulations.
The resulting solution architecture enabled Inventive Health to progress its AI-based COVID testing POC with a scalable and compliant foundation.
The platform now supports a multi-tenant model and integrates with key government and medical data systems, ensuring secure and interoperable data handling.
This architecture has since been adopted in international implementations, including Mexico, Gibraltar, and Israel, supporting the broader deployment of AI-based COVID testing solutions.

Designing solution architectures in healthcare environments requires more than technical capability. It demands alignment between regulatory requirements, system interoperability, and scalability from the outset. This case reflects how structured architecture design enables organisations to move from proof of concept to real-world implementation with confidence.
Symphonic’s expertise in IT infrastructure and solution architecture enabled the development of a fit-for-purpose framework that supported both immediate testing needs and future scalability.
By aligning system design with healthcare data standards and integration requirements, the solution not only enabled deployment across multiple environments but also demonstrated Symphonic’s ability to deliver architecture that balances performance, compliance, and interoperability.
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Date Published: 30 November 2023
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