Software where patient safety is a requirement, not a value
Healthcare
Healthcare software carries a weight most software never faces: a defect can harm a patient and a privacy lapse can end a business. This practice builds for that reality. Five healthcare specialisations plus security engineering, delivered by teams who treat compliance as a design input rather than a final inspection.
Healthcare engineering, in brief
Building for care delivery where compliance is a design input from day one.
90 secSample frame · video pending01Start from the ward, not the tech
Name the problem in care terms.
Healthcare buyers rarely need a technology list. They need virtual care that works, records that travel, clinicians freed from admin or data that becomes evidence. Choose the pressure your organisation feels and the map narrows to the specialisations built for it.
Patients expect consultations, monitoring and follow-up wherever they are.Telemedicine engineering carries the consultation itself, and healthcare app work builds the patient-facing surface around it.
Patient data sits across systems that refuse to agree.EHR engineering makes records interoperable through HL7 and FHIR, and the data practice turns the unified record into usable insight.
Documentation and coordination eat the hours meant for patients.Healthcare AI removes documentation burden with clinicians in the loop, and workflow apps carry the redesigned process.
Years of clinical data exist and none of it safely informs decisions.Healthcare analytics builds the governed pipeline from record to insight, with AI applied only where evaluation supports it.
EHR Software
Records engineered for interoperability, HL7 and FHIR included.
Telemedicine
Virtual care built for reliability, privacy and clinical reality.
Healthcare Apps
Patient and clinician applications that respect the workflow.
Health Data & Analytics
Clinical data made usable without leaving governance behind.
AI for Healthcare
Clinical AI with humans in the loop and evaluation on record.
Security & Compliance
The security engineering healthcare software must stand on.
02Compliance as a design input
Built to pass the audit it will face.
Every healthcare engagement runs a delivery system where the regulatory work happens inside the build rather than after it. The result ships with its own evidence: threat models, access design, audit trails and the documentation your compliance officer actually needs.
Frame the compliance surface
HIPAA, GDPR and regional health rules are mapped to the feature list before architecture begins. Nobody discovers a consent requirement in week nine.
A regulatory map for the buildDesign for protected data
PHI boundaries, encryption, access roles and audit logging are architectural decisions here, recorded with their reasoning for your security review.
Architecture a CISO can signBuild with clinical users in the loop
Increments go in front of clinicians and patients early, because a workflow that fights the ward fails no matter how clean the code is.
Software, clinically testedShip with the audit trail
Each release carries its compliance evidence: test records, access reviews and data-handling documentation, ready for the auditor who will eventually ask.
An audit-ready evidence pack
03What a healthcare organisation commissions
Healthcare services by the name a clinical leader searches for.
Healthcare organisations rarely commission a technology; they commission a named service with a regulation attached. The ledger pairs each service with what gets built, the standards that govern it and the practice that owns the work.
| What you need | What we build | Standards and integrations | Where it lives |
|---|---|---|---|
| EHR and EMR software development | Electronic record systems with role-based access, audit logging and structured clinical data | HIPAA, HL7 FHIR R4, HL7 V2, SNOMED CT and LOINC | EHR Software Development |
| HL7 and FHIR integration | Interface engines and FHIR APIs connecting labs, imaging, billing and legacy hospital systems | HL7 FHIR R4, HL7 V2, SMART on FHIR, Epic and Oracle Health APIs | EHR Software Development |
| Telemedicine platform development | Video consultation, scheduling, e-prescribing and remote monitoring with consent and encryption built in | HIPAA, WebRTC, FHIR R4, DICOM where imaging is shared | Telemedicine Software Development |
| Patient and clinician app development | Native and cross-platform apps with secure authentication, offline handling and accessibility built in | HIPAA, GDPR, WCAG 2.2, Apple HealthKit and Google Health Connect | Healthcare App Development |
| Clinical data platforms and analytics | Governed pipelines from record to dashboard, with de-identification and lineage on every dataset | HIPAA de-identification rules, OMOP CDM, FHIR Bulk Data, AWS HealthLake | Healthcare Data & Analytics |
| Clinical AI and documentation automation | Ambient documentation, intake extraction and triage support with clinician review on every output | HIPAA, FDA SaMD guidance, IEC 62304 where the software qualifies as a device | AI for Healthcare |
HL7 FHIR R4
FHIR defines the resources and REST APIs clinical systems exchange, so record models are shaped around Patient, Encounter and Observation from the first schema rather than translated later.
HIPAA
The Security Rule requires access controls, audit logs and transmission encryption for protected health information. Those requirements become architecture decisions, recorded with reasoning and evidence before the first release.
SMART on FHIR
SMART adds OAuth 2.0 authorisation and app launch to FHIR, which is how a third-party app runs inside Epic or Oracle Health without holding its own copy of the record.
AWS HealthLake
HealthLake stores FHIR data in a managed, queryable form with HIPAA-eligible controls, giving analytics and AI work a governed source rather than raw exports from the EHR.
04Evidence and proof
Care systems that passed their audits.
Healthcare proof must carry compliance evidence as well as outcomes, so the bar here is doubled. These previews show the standard while written client approvals are collected.
Explore case studiesA telehealth platform that held through a 40-clinic rollout.
Koru Health took virtual consultations from pilot to production across their network. Compliance evidence shipped with every release, and the audit passed first time.
- Clinics live
- Every site, one programme
- Audit findings
- Zero majors
Clinical intake automated, with every decision reviewable.
Manual intake was consuming clinical hours daily. Extraction with human verification cut the queue while keeping an auditable trail on every record.
- Intake effort
- Cut by two thirds
- Records with audit trail
- Every one
They asked about our consent flows before our tech stack. That told me everything about how this would go.
Sample · pending client approval
05Three doors into healthcare work
Enter through the door that fits the risk.
Some healthcare work needs a specialised build, some needs a broader engineering partner, and some needs AI capability applied with unusual care. The healthcare specialisations above go deep, while the wider practices bring scale when the problem outgrows a single specialisation. Every door inherits the same compliance-first delivery system.
- Project Scoping
Scope a compliance-bound build
A priced scoping engagement that maps the clinical workflow, the regulatory surface and the architecture before any budget commits.
- Custom Software Development
Commission custom clinical software
Purpose-built systems for workflows no product covers, carried by the custom software practice under healthcare governance.
- AI & Automation
Bring AI into care safely
The AI practice applied under clinical constraints: evaluation first, humans in the loop, and claims that survive scrutiny.
06Straight answers
Asked before healthcare budgets commit.
01How do you handle HIPAA compliance in practice?
As engineering, not paperwork. PHI boundaries are drawn in the architecture, access is role-based and logged, encryption covers data at rest and in transit, and business associate agreements are standard. The evidence pack builds up release by release, so audit day is a retrieval exercise rather than a scramble.
02Do you integrate with existing hospital systems?
Constantly, because almost no healthcare software lives alone. HL7 and FHIR interfaces, lab systems, imaging, billing and legacy EHR integrations are core healthcare software development services here, with each integration contract documented and tested against the real system's quirks.
03Can you work with clinical safety requirements like IEC 62304?
Yes, where the software qualifies as or borders on a medical device. Classification is settled early because it changes the documentation and testing burden materially. If your product needs a regulatory pathway we build to it, and we say plainly when specialist regulatory counsel should join.
04What does healthcare software development cost?
More than equivalent software outside healthcare, and honestly so, because compliance engineering and clinical validation are real work. Scoping produces the number against your regulatory surface, so the quote reflects your actual obligations rather than an optimistic average.
05How is patient data handled during development?
Production PHI stays out of development environments as a rule. Synthetic and de-identified data carry the build, access to any real data is logged and minimal, and data processing terms are written before the first record moves. Your privacy officer gets the data-flow map as a standard artefact.
06Can you take over an existing healthcare application?
Yes, starting with a compliance and code assessment rather than assumptions. Healthcare app development company transitions carry extra duty of care, so the handover includes a privacy review, dependency audit and a stabilisation plan before any feature work begins.
07Where does AI safely fit in healthcare today?
Where the failure mode is acceptable and a human stays in the loop: documentation burden, intake processing, scheduling and triage support. Diagnostic territory demands evidence standards most teams underestimate. We build the safe cases well and decline the unsafe ones plainly.