Scale Your Health Information Systems (HIS) to Support Multi-Region Growth

DataArt supports HIS software providers with platform engineering that serves as the foundation for multi-region scaling and deployments.
We integrate compliance, seamless local interoperability, AI workflows, and region-specific (sovereign) cloud environments to deliver scalable trusted healthcare solutions.

How We Make HIS Platforms Perform at Enterprise Scale

We work with your platform teams to keep HIS platforms resilient, compliant, and scalable in production, even as complexity grows.

Interoperability Without Bottlenecks

Scale integrations without slowing expansion

We design durable integration patterns that work across hospitals, systems, and regions—without constant rework.

Includes: FHIR APIs, HL7, EHR/EMR–HIS interoperability, PMS integrations

Trusted, Governed Data

Decision-grade data across products and regions

We establish clear ownership, semantics, and lineage so data remains reliable as platforms scale.

Includes: Validation, semantic consistency, lineage, governance, analytics foundations

Regulatory Compliance Built In

Reduce audit and security risk as you scale

We embed security and regulatory controls directly into the platform—without slowing delivery.

Includes: Audit controls, monitoring, access models, data protection, compliance-by-design

Cloud-Native Delivery at Scale

Faster releases with cost and reliability under control

We modernize infrastructure and DevOps to keep deployments repeatable, observable, and cost-aware.

Includes: Cloud-native architectures, sovereign cloud, on-prem to cloud migration, scalable deployments

Repeatable Multi-Region Expansion

Expand globally without rebuilding locally

We standardize rollout patterns to reduce customization and accelerate market entry.

Includes: Reference architectures, rollout playbooks, environment standardization

AI That Works in Production

Scale AI safely inside HIS workflows

We help operationalize AI with governance, monitoring, and human oversight—so it performs reliably beyond pilots.

Includes: NLP extraction and normalization, clinical coding support, document processing, decision support guardrails, explainability, human-in-the-loop controls

How We Engage

Start with a focused, low-friction engagement designed to pinpoint scale limits, and define how to move past them.

1

Identify where HIS scale and reliability are constrained

2

Prioritize governance, security, and AI risks

3

Align on target state and delivery priorities

4

Define a clear, practical path forward

Compliant, Secure & Reliable

We adhere to industry standards, including ISO 13485, ISO 27001, GDPR, HIPAA, EU MDR/IVDR, US FDA, NIST.

healthcare software development services

DataArt Mentioned in Gartner® Report

A recognized approach to governed, enterprise-scale Al delivery. Relevant for HIS teams scaling governed, enterprise Al in clinical workflows.

Gartner, Al Vendor Race: How to Evolve Your Pricing Model for Al Services, ID G00839270, Danny Ryan, Robert Brown.
Gartner is a trademark of Gartner, Inc., and/or its affiliates.

Get the Report

Build & Scale Faster with Our Partners

Supported by 50+ technology partnerships. Below are a few examples of platforms we commonly use to scale HIS data, cloud, and AI workflows.

Industry Leaders that Trust Us

See all Case Studies

Talk to an Expert

Tell us what you are scaling in your Health Information System (HIS) platform and where delivery gets brittle. We will respond with a practical next step.

30-minute call with a HIS platform specialist
Quick readout: priorities, risks, and options
Next step proposal, if there is a fit

FAQ

Do you replace our implementation or integration team?

No. We support your product and platform engineering teams, focusing on platform capabilities that make deployments repeatable at scale.

Can you work with both FHIR and non-FHIR environments?

Yes. We support interoperability patterns across standards and legacy formats, including FHIR and HL7.

Do you build HIS software or only data platforms?

We can support full-cycle HIS engineering and modernization, but this offer prioritizes the platform layer that enables stable integrations, governed data, and compliant operations.

We already have AI features in production. Is this still relevant?

Yes. The focus is scaling and operating AI safely and reliably in real deployments, not starting from zero.

What is a good first step?

A short scoping call, then a focused review of your integration landscape, governance gaps, and operational risks.