This article is based on expert commentary originally published on cloudcomputing-news.net, featuring insights from Martin Bradburn, CEO of Peasoup Hosting, and David Trossell, CEO and CTO of Bridgeworks.
The Digital Transformation Pressure on Healthcare IT
Healthcare organisations are under relentless pressure to modernise. Mergers, acquisitions, expanding patient populations, and an accelerating reliance on digital tools are forcing IT teams to deliver more with tighter budgets and leaner staff. Unlike most industries, healthcare carries an additional layer of complexity: downtime is not merely costly — it can directly affect patient outcomes.
Martin Bradburn, CEO of Peasoup Hosting, frames the opportunity clearly: “For the healthcare sector, cloud infrastructure with its security and scalability can, and in some instances is already accelerating the development of clinical applications. Digital transformation is also changing the way healthcare operates, connecting remote clinical specialist resources directly to the patients for improved diagnosis on a worldwide scale.”
Cloud infrastructure’s ability to process and deliver data collaboratively — and to charge organisations only for what they consume — directly addresses two chronic problems in healthcare IT: over-provisioning and budget rigidity.
What Is Hyperconverged Infrastructure (HCI) and Why Does It Matter for Healthcare?
Hyperconverged infrastructure (HCI) combines compute, storage, networking, and virtualisation into a single software-defined system — typically deployed as a cluster of commodity nodes. Instead of managing separate silos of servers, storage arrays, and networking hardware from different vendors, an HCI platform presents a unified management interface.
David Trossell, CEO and CTO of Bridgeworks, explains the value for smaller healthcare providers specifically: “By consolidating down multiple technologies from multiple providers for all the separate equipment that forms a modern data centre, along with all the differing support contracts and possible interoperability issues that can occur, hyperconverged brings this all down to one or two providers.”
Key Benefits of HCI in Healthcare Settings
- Reduced physical footprint: Fewer physical appliances means lower power consumption, reduced cooling requirements, and smaller data centre floor space.
- Simplified management: A single management plane reduces the skill sets needed to operate the environment and cuts the number of support contracts from many to one or two.
- Higher resilience: Fewer interconnecting components means fewer potential points of failure and fewer bottlenecks under load.
- Easier cloud extension: HCI platforms are designed to extend workloads elastically into the cloud, removing the traditional constraint of fixed on-premises capacity.
- Predictable scaling: Organisations can add nodes incrementally as demand grows rather than making large, speculative hardware purchases.
David Lehr, CIO of Luminis Health (a regional healthcare system in Maryland), articulates the governance dimension well: “We need to be good stewards of the investments our communities make in us. Driving up unnecessarily high costs on complicated IT infrastructure that takes an army of people to manage isn’t a great way to live up to that expectation.”
Cybersecurity Challenges: HCI Is Not a Silver Bullet
Hyperconvergence solves many operational problems inside the data centre, but it does not eliminate external threats — and those threats are intensifying. Trossell is direct on this point: “The biggest threats these days emanate from outside of the data centre in the form of cyber-attacks, and these attacks are getting more and more sophisticated in their approach.”
Critically, attackers are no longer satisfied with encrypting live data. Modern ransomware campaigns actively target backup software and backup repositories, eliminating the traditional recovery option of simply restoring from a clean copy. This forces healthcare organisations to adopt multi-layered, multi-location data protection strategies rather than relying on a single backup destination.
“Until the last byte of backup data has been received by the cloud, there is no backup.”
— David Trossell, CEO and CTO, Bridgeworks
The implication is architectural: backups must be replicated to multiple geographically separated locations, and the pipeline between on-premises systems and those locations must be reliable enough to complete backup windows within agreed time frames.
The Hidden Bottleneck: WAN Performance
Moving data reliably to the cloud — whether for backup, disaster recovery, or active workloads — depends on the performance of the Wide Area Network (WAN) link connecting on-premises infrastructure to cloud endpoints. Trossell identifies three governing factors:
- Latency — the round-trip delay between sender and receiver, which worsens over longer distances.
- Packet loss — even small percentages of dropped packets force TCP retransmissions, which dramatically reduce effective throughput.
- Bandwidth — the raw capacity of the WAN link.
The common assumption is that sluggish data transfers are a bandwidth problem, solved by purchasing more bandwidth. In practice, Trossell notes, the existing bandwidth is often adequate. Latency and packet loss — not raw capacity — are the limiting factors, particularly when transferring large medical imaging files such as MRI or CT scans across geographic distances.
Why WAN Optimisation and SD-WAN Fall Short
Two technologies are commonly deployed to address WAN performance problems:
- WAN optimisation — historically relied on data deduplication and compression to reduce the volume of data traversing the link. When data is encrypted end-to-end (as it must be in healthcare), these techniques cannot inspect payloads and therefore have little effect.
- SD-WAN — improves traffic routing and link aggregation across multiple WAN paths, but does not fundamentally address the physics of latency and packet loss on any individual path.
WAN Data Acceleration: A Different Approach
WAN data acceleration takes a fundamentally different approach. Rather than compressing or deduplicating data, it uses parallelisation techniques — managed by artificial intelligence — to control the flow of data across the WAN in a way that actively compensates for latency and packet loss effects. Trossell explains: “WAN acceleration approaches the transport of data in a new way. Rather than trying to squash the data down, it uses parallelisation techniques controlled by artificial intelligence to manage the flow of data across the WAN, whilst mitigating the effects of latency and packet loss.”
Importantly, the approach is data-agnostic: it does not alter, inspect, or decompress the data itself, making it compatible with encrypted payloads. It can also be deployed alongside existing backup tools and SD-WAN implementations rather than replacing them. According to Trossell, properly implemented WAN acceleration can push WAN bandwidth utilisation toward 95%, meaning organisations may find that their current bandwidth is already sufficient once latency and packet loss are mitigated.
Team Collaboration and Real-Time Data in Healthcare
Clinical workflows are increasingly distributed. Remote diagnosis, telemedicine, multi-site specialist consultations, and real-time surgical video all depend on low-latency, high-throughput connectivity. Bradburn notes: “The cloud environment is perfect for big data sets — archiving, pulling out and data manipulation is fast and effortless. This is vital for all services when the response is urgent.”
A cloud environment can also serve as an air-gapped backup location when configured correctly, and when bundled with cloud-native disaster recovery services, it provides a meaningful layer of resilience against ransomware and other destructive attacks.
Data Sovereignty and Compliance
Healthcare data is among the most sensitive personal data that exists. Regulatory frameworks — including HIPAA in the United States and GDPR in the European Union — place strict requirements on where patient data can be stored, how it must be protected, and how breaches must be disclosed. When selecting cloud providers or configuring multi-site replication, healthcare organisations must verify:
- Which countries host the data centres used for primary storage and replication.
- Whether the provider’s terms of service permit cross-border data transfers.
- What certifications (ISO 27001, SOC 2, HIPAA BAA, etc.) the provider holds.
- What the full cost model looks like — some providers offer low per-unit storage costs but charge materially for data ingress and egress, which can significantly increase total cost.
5 Practical Tips for Accelerating Your Healthcare Cloud
Drawing on the expert commentary in this article, here are five actionable recommendations for healthcare IT teams evaluating or modernising their cloud and hyperconverged strategy:
- Scrutinise cloud supplier pricing carefully. Smaller cloud providers often offer simpler, more predictable pricing with unlimited bandwidth. Larger hyperscalers may charge separately for data ingress and egress — costs that can double the effective price of a solution. Always review the full contract, including annexes.
- Consider green and efficient infrastructure. Newer hardware generations deliver better performance at lower power draw. Some cloud providers operate ecological data centres with liquid cooling, which supports higher-density, higher-throughput workloads — relevant for imaging-heavy environments.
- Verify data sovereignty before committing. Confirm that patient data will be stored and replicated within jurisdictions that satisfy your regulatory requirements (HIPAA, GDPR, or applicable national law). Do not assume compliance — obtain written confirmation and check audit reports.
- Address latency and packet loss explicitly. Do not assume that purchasing more bandwidth will solve data transfer problems. Evaluate WAN data acceleration to mitigate latency and packet loss, particularly for backup pipelines and large medical imaging workloads. SD-WAN and WAN acceleration are complementary, not mutually exclusive.
- Evaluate hyperconverged infrastructure on its total cost of ownership. Beyond the capital cost, weigh the reductions in management complexity, support contract overhead, power and cooling spend, and the operational risk reduction that comes from fewer interdependent components.
Looking Ahead: Standards, Interoperability, and Global Care
Bradburn identifies the next frontier: building the standards and interoperability frameworks that would allow a truly global healthcare network to function. This means agreeing on data formats from clinical systems and personal health IoT devices so that information is universally interpretable regardless of where it originates.
The vision is ambitious — clinicians sharing imaging, diagnostic data, and treatment protocols across borders in real time, enabling remote specialist consultation at scale. Realising it requires healthcare organisations to invest now in the network infrastructure (WAN acceleration, resilient cloud connectivity), the data governance frameworks (sovereignty, compliance, security), and the architectural patterns (hyperconvergence, hybrid cloud) that will underpin those future workflows.
As Bradburn concludes: the true power of the cloud in healthcare services will only be unlocked when the underlying network, storage, and security infrastructure is built to match the ambition of the clinical use cases it must support.
Expert commentary in this article is attributed to Martin Bradburn, CEO of Peasoup Hosting; David Trossell, CEO and CTO of Bridgeworks; and David Lehr, CIO of Luminis Health. The original article was published by cloudcomputing-news.net.