Healthcare software development

We build patient and clinic platforms, HL7 FHIR integrations and medical AI for healthcare providers and digital health companies — with GDPR and HIPAA requirements designed into the architecture from the first sprint.

GDPR HIPAA HL7 FHIR R4 SMART on FHIR
Standards

Standards we build to

Every healthcare project is designed against GDPR and, for US patient data, HIPAA; integrations use HL7 FHIR R4 and SMART on FHIR authorisation. We build in line with these standards — certification of your product stays with your organisation.

GDPR

EU data protection

Health data as special-category data (Art. 9), processor agreements (Art. 28), security of processing (Art. 32).

HIPAA

US patient data

Security Rule technical safeguards and a Business Associate Agreement before any PHI access.

FHIR
R4

Interoperability

HL7 FHIR R4 resources and REST APIs for exchanging clinical and administrative data.

SMART

Authorisation

SMART on FHIR and OAuth 2.0 for standard app launch and scoped access to records.

Industry services

Healthcare software we build

We design, build and maintain six kinds of healthcare systems, from patient-facing apps to back-office automation and clinical AI.

Patient platforms & portals

Booking, intake forms, results, messaging and consent management for patients.

Clinic & practice management

Scheduling, staff rotas, billing and reporting for clinics and medical centres.

EHR / EMR integrations

HL7 FHIR R4 interfaces, data mapping and synchronisation with existing records systems.

Telehealth & remote monitoring

Video consultations, device data ingestion and alerting for care teams.

Medical document processing

Extraction of structured data from referrals, lab reports and scanned forms.

Clinical AI assistants

Summaries and answers grounded in clinical documents, always with clinician review.

Interoperability

How a FHIR integration works

We place a FHIR integration layer between existing clinical systems and your application, so data is validated, mapped and access-checked in one place.

Compliance

Compliance built into delivery

Each regulatory requirement is mapped to concrete engineering work in the scope, so compliance is visible in the backlog rather than left to a final review.

RequirementWhat we do in the project
GDPR Art. 9 — special-category dataDocument the legal basis and minimise health data for every data flow.
GDPR Art. 28 — processorSign a data processing agreement before accessing personal data.
GDPR Art. 32 — securityEncryption in transit and at rest, role-based access, tested backups.
GDPR Art. 35 — DPIAProvide technical input for your data protection impact assessment.
HIPAA §164.312(a) — access controlUnique user IDs, role-based permissions, automatic session timeout.
HIPAA §164.312(b) — audit controlsTamper-evident logs of access to and changes of patient records.
HIPAA §164.312(e) — transmission securityTLS for all traffic; no PHI in emails, logs or analytics tools.
HIPAA — business associateBusiness Associate Agreement signed before any PHI access.
  • Medical AI with a human in the loop. Clinical outputs are suggestions reviewed by qualified staff, and every model answer cites its source document.
  • Medical device questions raised early. If software could qualify as a medical device under EU MDR, we flag it in discovery and work with your regulatory team.
FAQ

Healthcare questions

What healthcare teams ask before working with us.

Is RubyPlius HIPAA certified?

There is no official HIPAA certification for companies or software. We build in line with the HIPAA Security Rule, sign a Business Associate Agreement when we handle PHI, and support your own compliance assessment.

Where is patient data stored?

In the region you choose. For EU clients we use EU cloud regions by default; for US clients, US regions covered by a BAA with the cloud provider.

Can you integrate with our existing EHR?

Yes, if it exposes an HL7 FHIR API or another documented interface. We start with a short technical review of the available endpoints and data quality.

Do you use patient data to train AI models?

No, not without your explicit written agreement. Development uses de-identified or synthetic data, and AI providers are configured not to retain or train on your data where the provider allows it.

Do you build medical devices?

We build software for healthcare organisations. If a product may qualify as medical device software, we work under your quality management system and regulatory guidance.

Contact

Discuss a healthcare project

Describe the system and the data involved. Please do not include any patient data in this form.