How We Execute

Healthcare Services

Engineering execution built for clinical products — development, integration, AI and compliance delivered by teams who know HIPAA isn't optional.

Engage Our Engineers

500+

Products Delivered

13+

Years Building Software

6

Countries Served

GDPR

Compliant

Our Services

End-to-end engineering for healthcare products

Healthcare Software Development

Full-stack engineering with HIPAA security baked in from architecture through deployment.

  • React / Node / Python / Java
  • HIPAA-compliant SDLC
  • PHI encryption at rest + transit
  • Role-based access control

EHR/EMR Integration & APIs

Connect systems using HL7 FHIR, DICOM, ICD-10, and custom APIs.

  • HL7 FHIR R4 APIs
  • DICOM imaging integration
  • Claims (X12 837/835)
  • ADT/ORM/ORU message handling

Clinical AI & NLP

AI for medical records, clinical notes, diagnostic imaging, and patient risk scoring.

  • Clinical NLP / NER
  • Medical imaging (CV)
  • Predictive risk models
  • Drug interaction checking

Compliance & Security

HIPAA, HITECH, SOC 2 compliance engineering and security infrastructure.

  • HIPAA gap assessment
  • BAA + policy documentation
  • Penetration testing
  • Incident response planning
How We Work

Engineering for clinical software is a different discipline

Healthcare software fails in ways ordinary business software does not. A bug in a reporting dashboard is an inconvenience; a bug in a medication list, an allergy flag or a lab result reaches a clinician who is making a decision in under a minute. That difference should show up in how the code is built, not only in what the compliance document says. Our teams treat protected health information as the constraint that shapes the architecture, rather than a checklist applied near the end of a project.

In practice that means access control designed before features, audit logging that records who saw which record and when, encryption in transit and at rest as a default rather than a configuration option, and environments where real patient data never reaches a developer laptop. It also means test data that behaves like clinical data — messy names, missing fields, duplicate identities, historical records that contradict each other — because a system that only works on tidy fixtures will not survive its first week in a hospital.

We have delivered 500+ products for 400+ clients across six countries since 2013, and healthcare work is where the engineering rigour is least optional. Teams are staffed with engineers who have handled HL7 and FHIR message flows in production, not developers reading the specification for the first time on your budget. Every engineer clears technical and trial rounds before joining a client team, and NDAs are in place before any access is granted.

You get a team that integrates into your existing process rather than replacing it — your sprint cadence, your ticketing system, your review standards, your release windows. Most healthcare organisations already have change-control requirements they cannot bend. We work inside them. If a two-week validation window sits between a merge and a deployment, that shapes how we branch and how we batch work, and we plan for it at the start instead of discovering it at release.

Engagement

How a healthcare build actually runs

01

Discovery & Data Mapping

We map where PHI lives, who touches it and which systems it moves between before writing code. Most integration surprises are discovered here rather than in week eight.

02

Architecture & Access Model

Roles, permissions, audit trail and encryption boundaries get designed first. Retrofitting an access model onto a working application is the most expensive rework in this domain.

03

Build in Reviewed Increments

Two-week sprints with code review, automated tests and a staging environment that mirrors production. Clinical stakeholders see working software early, not a demo at the end.

04

Validation & Handover

Testing against real-world edge cases, documentation your compliance team can actually use, and a handover where your engineers can run the system without us.

Questions

Frequently Asked Questions

The questions healthcare teams ask us before an engagement starts.

Do you build HIPAA-compliant software?

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Yes — we build systems designed to meet HIPAA Security Rule requirements: role-based access control, encryption of PHI at rest and in transit, audit logging, session management and secure disposal. To be precise about what that means: HIPAA compliance is a property of your organisation and its operating procedures, not a certificate a development vendor holds. We build the technical safeguards and produce the documentation your compliance team needs; the programme itself remains yours, and we will sign a BAA where the engagement requires it.

What healthcare standards and formats do your engineers work with?

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HL7 v2 messaging (ADT, ORM, ORU), FHIR R4 REST APIs, DICOM for imaging, X12 837 and 835 for claims and remittance, and code systems including ICD-10, SNOMED CT, LOINC and RxNorm. In most projects the difficult part is not the specification but the variation: two hospitals running the same EHR will send you subtly different message shapes, so we build parsing that tolerates that rather than assuming a clean feed.

Can you integrate with our existing EHR?

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Usually yes, though the honest answer depends on what your vendor exposes. Epic, Cerner, Athenahealth and Allscripts all offer FHIR APIs of varying completeness, and most have an app-registration process with its own timeline that is worth starting early. Where no modern API exists we work with HL7 interface engines or flat-file exchange. We will tell you in discovery if a required data element simply is not reachable, rather than discovering it mid-build.

How do you handle PHI during development?

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Developers work against synthetic or de-identified datasets. Production PHI stays in production, access is limited to named individuals with a business reason, and every access is logged. Where a defect can only be reproduced with real data, that happens in your environment under your controls with your team present — not by copying a database to a workstation. This is one of the areas where we will not be flexible, because it is where most breaches in this sector originate.

Do you work with our existing development team?

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That is the common arrangement. Engineers join your sprints, your repository and your review process as an extension of the team you already have, rather than working in a separate silo and integrating at the end. You interview each engineer before committing, and there is a one-week trial so fit is proven on your codebase instead of on a CV.

How quickly can a healthcare team start?

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Usually within one to two weeks for common requirements. Healthcare-specific roles — FHIR integration, clinical data modelling, medical imaging — can take longer to staff because the pool is genuinely smaller, and we would rather say two weeks and place the right engineer than fill the seat immediately with someone learning on your project.

What happens to the code and documentation when the engagement ends?

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You own all of it on payment: source code, infrastructure configuration, architecture documentation and any compliance artefacts we produced. Repositories and cloud accounts should be in your organisation's name from day one, not ours. A handover period with your engineers is built into the closing sprints, so nothing about running or extending the system depends on us still being involved.

Can you help modernise a legacy clinical system?

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Yes, and it is a large part of this work. The usual pattern is incremental: put an API layer in front of the existing system, move functionality outward piece by piece, and keep both running in parallel until the old path carries no traffic. A full rewrite with a single cut-over date is rarely the right choice for a system clinicians depend on daily, and we will say so if that is what is being proposed.

Need to ship faster without cutting corners on compliance?

Tell us your roadmap — we'll put together a healthcare-aware delivery team that slots into your workflow in under two weeks.