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MedTech

Medical grade connectivity: from pilot to production in 90 days

Building medical-grade connectivity is complex - but it doesn't have to be slow. We've created a step-by-step playbook that covers the architectural, organisational, and regulatory foundations you need to get it right, demonstrated on AWS. This page gives you the highlights. The playbook gives you the full blueprint.

Download the playbook
March 19, 20262 Minutes to Read

The connected medical device market is projected to double to over $150 billion by 2030 and the market for digitally connected healthcare solutions to reach $549.7 billion by 2028. Remote monitoring, AI-driven diagnostics, and real-time decision support are rapidly becoming baseline expectations, not differentiators.

But most MedTech organisations remain stuck between pilot and production. The proof of concept works in the lab, but as soon as it meets the real world, the wheels come off.

This article looks at what's actually blocking progress and provides you with a concrete 90-day roadmap for moving from discovery to a scalable, compliant connected device platform. For the full technical blueprint – including an eight-stage architectural flow and AWS service mappings – download our playbook.

DOWNLOAD

The complete blueprint for connected medical devices

Nine challenges. Eight architectural stages. One step-by-step roadmap – from device authentication through to compliance and disaster recovery.

Download the playbook

Why connectivity programmes stall

A 2025 Deloitte survey highlights a telling disconnect: MedTech executives see interoperability (45%) and data privacy (32%) as the top barriers to connected care adoption, while healthcare providers point to end-user value (32%) and budget constraints (27%). The industry isn't just facing a technical challenge, it's facing an alignment challenge.

Behind that misalignment sits a deeper issue. Medical-grade connectivity isn't one problem – it’s nine interconnected problems. Regulatory compliance, security, cloud infrastructure, device management, interoperability, scalability, clinical integration, quality assurance, and operational excellence all need to work together. An issue in any one area cascades into all of the others.

That’s why pilots fail to scale. We unpack all nine challenges and Zühlke's eight-stage architectural solution in detail in our companion article on cloud for healthcare. The playbook goes further still, with implementation guidance for each stage.

Download the playbook

Technology is only part of the answer

In our experience, the most common reasons connectivity programmes stall aren't technical but organisational. Three shifts matter just as much as the architecture.

From 'hardware-first' to 'platform-first'

Connected devices need cross-functional teams from day one: firmware, cloud, security, and regulatory working together, not sequentially.

AI in the industrial value chain

From periodic audits to continuous validation

The FDA's CSA framework and the EU Cyber Resilience Act both point in the same direction: compliance needs to be continuous and automated.

Abstract digital data streams representing AI-driven software modernisation.

From skills gap to Cloud Centre of Excellence

83% of organisations with a CCoE report that it is effective. The modern model: 80% self-service platform, 20% embedded enablement.

Your 90-day roadmap

Phase 1: Discovery (weeks 1–4)

Start with a single use case, not an enterprise-wide transformation. The best candidates are devices that already generate clinical data but transmit it manually or not at all.

  • Bring together R&D, IT, quality assurance, and regulatory teams. Agree on success criteria.
  • Scope the regulatory impact of adding connectivity early, not after the architecture is built.
  • Assess your team's cloud and security capabilities so you know where you need external expertise.

Outcome: a validated use case, a prioritised architecture blueprint, and a clear team plan.

Phase 2: MVP (weeks 5–10)

Build the full data journey for your selected use case, from device authentication through to cloud processing. The critical difference between a demo and a medical-grade MVP: set up automated audit logging and compliance foundations from day one, not as a post-build addition. Test with actual clinical users in realistic conditions.

Outcome: a working, compliant connected device pipeline which is limited in scope, but architecturally sound and ready to scale.

Phase 3: Scale (weeks 11+)

The focus shifts from 'does it work?' to 'does it scale safely?'

  • Automate compliance with policy-as-code pipelines.
  • Connect to EHR systems via FHIR APIs and introduce AI-powered decision support where appropriate.
  • Onboard additional device types and markets.
  • Mature your CCoE from external enablement to internal capability.

Outcome: a scalable, multi-device connected care platform with automated compliance, and in house capability to operate and extend it.

Get the full playbook

Nine challenges. Eight architectural stages. A step-by-step roadmap to medical-grade connectivity.

Download the playbook

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