Right now, modern custom EHR and EMR software is more than just a system to store patient records. It has become the central hub for care delivery by connecting clinicians with labs, pharmacies, billing systems, telehealth platforms, and RPM devices.

However, this growing ecosystem also increases the data volumes, integration requirements, and the need for real-time data exchange. And this creates infrastructure challenges as healthcare organizations need to support seamless, secure data exchange, maintain high system availability, and meet evolving interoperability requirements.

This is where custom EHR cloud architecture plays a critical role by helping the healthcare organization overcome these challenges. Because traditional infrastructure models often fail to keep up with changing demands, system performance requirements, and increasing scaling costs with each update.

But a well-designed cloud architecture custom EHR platform provides scalable, secure, and interoperable systems needed to support healthcare workflows while remaining flexible enough for future updates.

Whether deployed on AWS, Azure, or a multi-cloud environment, the underlying cloud platform directly influences the system performance, scalability, security, and interoperability outcomes.

In this blog, we will see how to design a custom EHR cloud architecture on AWS and Azure, their technical requirements, and evaluate the cloud platforms for building scalable cloud infrastructure for interoperable EHR systems.

Designing Custom EHR Cloud Architecture on AWS & Azure

If you think you only need to migrate your entire infrastructure from on-prem to cloud architecture, then that’s not how it really works. For building a custom EHR cloud architecture, healthcare organizations need to create an architecture that supports interoperability, security, and long-term scalability without compromising performance.

That’s why, before finalizing your cloud platform between AWS, Azure, or a multi-cloud healthcare strategy, you need a robust digital foundation that can support them. One more thing you need to know is that cloud architecture typically operates in multiple layers.

These layers include:

• Application layer for powering clinical and operational functionalities.
• Integration layer that connects EHRs with lab systems, pharmacies, billing systems, and other third-party applications.
• Data layer for protecting sensitive PHI.

And you need to balance performance, availability, and scalability along with these layers. 

The first performance is necessary for fast access to patient data and insurance details of patients in real-time for both clinicians and administrative staff. If there are any delays in data access, it can reduce operational efficiency and affect care delivery.

In modern healthcare, availability is equally important for supporting daily clinical operations, and system downtime can cost clinics thousands of dollars. So, the cloud architecture should be designed with redundancy and fault-tolerant services for continuous system access.

Finally, scalability is crucial for keeping up with practice expansion and rapidly changing interoperability standards without constant rework and major infrastructure changes. By balancing these components, you can easily build a cloud-native EHR architecture that supports regulatory changes and future digital upgrades.

AWS Azure Healthcare Architecture for Modern EHR Platforms

After evaluating the architectural requirements, the next step is finalizing which cloud platforms suit your operational, clinical, and interoperability goals. While AWS and Azure both offer healthcare-focused solutions, they have different strengths depending on what your organizational goals are.

When evaluating AWS Azure healthcare architecture, healthcare organizations should consider factors such as interoperability support, security and compliance capabilities, scalability requirements, AI and analytics initiatives, and existing technology investments. The right choice often depends on how the organization plans to build, integrate, and scale its healthcare ecosystem.

The following comparison highlights key considerations for healthcare cloud deployments:

Both platforms provide the infrastructure needed to support healthcare interoperability, regulatory compliance, and large-scale healthcare workloads. Organizations already invested in Microsoft technologies may find Azure integration advantages, while those prioritizing broad cloud services and extensive third-party ecosystems may lean toward AWS.

Ultimately, the decision is rarely about choosing the better cloud provider. Instead, healthcare organizations should select the platform that best aligns with their interoperability goals, application requirements, security strategy, and long-term digital transformation roadmap.

Multi-Cloud Healthcare Strategy & Development Models

For many healthcare organizations, choosing between AWS and Azure is no longer the only decision. As healthcare ecosystems become more complex, organizations are increasingly adopting a multi-cloud healthcare strategy to improve flexibility, resilience, and operational efficiency.

A multi-cloud approach involves using services from multiple cloud providers to support different workloads and business requirements. For example, an organization may host its core EHR platform on Azure while leveraging AWS services for analytics, artificial intelligence, or disaster recovery. This allows teams to take advantage of the strengths of different cloud platforms without becoming dependent on a single vendor.

Benefits of a Multi-Cloud Healthcare Strategy

A well-planned multi-cloud environment can provide several advantages:

• Improved resilience by reducing reliance on a single cloud provider
• Enhanced disaster recovery and business continuity capabilities
• Greater flexibility when deploying specialized healthcare workloads
• Better support for geographically distributed healthcare operations
• Reduced risk of vendor lock-in

These benefits are particularly valuable for healthcare organizations that require continuous system availability and reliable access to patient information.

Key Considerations for Multi-Cloud Deployments

While multi-cloud environments offer flexibility, they also introduce additional management requirements. Organizations must establish consistent security policies, identity management processes, and governance controls across all cloud environments.

Workload portability is another important consideration. Applications and healthcare data should be designed to move between environments when needed without causing major disruptions to clinical operations.

By implementing the right governance and deployment strategy, healthcare organizations can create a flexible cloud foundation that supports growth, strengthens operational resilience, and adapts to evolving healthcare technology requirements.

Scalable Cloud Infrastructure for Interoperable EHR Systems

As healthcare organizations expand their digital ecosystems, infrastructure must support more than day-to-day clinical operations. Modern EHR platforms are expected to exchange data with laboratories, pharmacies, payer systems, telehealth platforms, patient portals, and other connected healthcare applications. Supporting this level of connectivity requires scalable cloud infrastructure designed for interoperability.

One of the biggest advantages of cloud-native EHR architecture is its ability to handle growing volumes of healthcare data exchange without compromising performance. As patient populations grow and integration requirements increase, cloud infrastructure can scale resources dynamically to support additional users, applications, and API traffic.

• Supporting FHIR Interoperability Compliance

Healthcare interoperability initiatives increasingly rely on FHIR-based data exchange. Every API request, patient record lookup, laboratory result, and clinical update generates additional workload for the underlying infrastructure. A scalable cloud environment helps healthcare organizations support these interoperability demands while maintaining consistent performance and availability.

Cloud platforms also simplify the deployment of integration services, API gateways, and healthcare data repositories that enable secure communication across healthcare systems.

• Preparing for Enterprise-Wide Growth

Infrastructure requirements often evolve as healthcare organizations expand through new locations, partnerships, service lines, or digital health initiatives. A scalable cloud foundation enables organizations to accommodate this growth without major infrastructure redesigns or costly hardware investments.

Whether supporting interoperability programs, population health initiatives, or connected care delivery models, healthcare cloud infrastructure provides the flexibility needed to adapt to changing business and clinical requirements.

By building scalable cloud infrastructure for interoperable EHR systems, healthcare organizations can support reliable healthcare data exchange, improve operational efficiency, and create a stronger foundation for future healthcare innovation.

Security, Compliance, Governance, & Cloud Innovation

When you move your entire infrastructure to the cloud, security and compliance become one of the most important components of your architecture. Without building security safeguards and meeting compliance requirements, you can’t confidently share, use, and manage sensitive patient data.

Here is what you need to build before moving onto your cloud platform:

• HIPAA-Compliant Cloud Deployment Considerations

You need to make sure your cloud infrastructure has strong security controls, including end-to-end encryption, network security, continuous monitoring, and backup strategies. With these safeguards, keeping the Protected Health Information (PHI) private and supporting secure health data exchange becomes possible.

• Identity Management & Cloud Governance

Healthcare data should be protected and accessed only by authorized personnel based on their roles and responsibilities. For that, you need to implement OAuth authentication and other authorization mechanisms such as role-based access control, audit logging for maintaining accountability, and reducing security risks of unnecessary data exposure.

• Supporting FHIR Interoperability Compliance

Another important component of secure cloud-native EHR architecture is FHIR interoperability compliance. By making sure you have compliant interoperability, you can develop secure cloud-based API management, monitoring tools, and security frameworks to facilitate safe healthcare data exchange and maintain regulatory compliance, along with operational reliability at the same time.

• Cloud Innovation & the Future of Healthcare

One of the biggest advantages of cloud platforms is their scalability and flexibility to adapt to new innovations without leading to major infrastructure changes. This saves time and costs while keeping operations running without disrupting them, reducing downtime loss and delay in care delivery.

Additionally, supporting rapidly evolving AI capabilities is much more efficient and quicker on a cloud platform with a multi-cloud EHR strategy.

Frequently Asked Questions