What we do

Healthcare Software Development Services

Build clinical-grade software with a team that understands both code and compliance.

Results from our healthcare work

100%

of HIPAA, SOC 2 Type II and GDPR audits passed on the first attempt

Clinical SaaS case

−52%

treatment planning time, with the orthodontist still signing every plan

Orthodentix case

data-related security incidents in the 18 months after launch

Clinical SaaS case

Book a call Estimate my project or write to us

MetaProject provides healthcare software development services for teams building clinical-grade products under HIPAA, HITRUST and GDPR.

The patterns that work in B2C SaaS (fast-and-loose iteration, "we'll bolt on compliance later," generic identity flows) fail under real healthcare scrutiny. We help you ship clinical workflows, EHR integrations and AI/ML features to production without violating the privacy rules they sit close to. Then we build the internal capability to maintain them.

Who we work with

Clinical decision-support platforms integrating with EHRs and handling PHI at scale

Telehealth and virtual care Companies with stringent uptime and privacy requirements

Digital therapeutics (DTx) Seeking FDA Class II clearance and EU MDR conformity alongside the engineering work

Medical imaging and AI/ML diagnostic platforms Balancing model performance and latency against clinical traceability

Health-system internal platforms Modernising provider workflows under HITRUST or NIST 800-53

Healthcare payor and benefits platforms (invoicing, treasury, AP) integrating with banks and ERP systems

What makes healthcare engineering different

Compliance is a property, not a project

You never "complete" HIPAA. It's a continuous state of the system, the team and the process. Architectures that treat compliance as a one-time effort get rebuilt the next time an audit changes scope. We design for the long game.

The stakes are higher

Downtime, data exposure, and incorrect outputs in healthcare have consequences that don't show up on a SaaS dashboard. We bring patterns from contexts where this is taken seriously.

Talent is scarce

Engineers with both modern cloud-native skills and healthcare-compliance experience are rare. Most teams can hire one or the other. We bridge that gap and train your team along the way.

What we build

Compliance-aligned architecture

System architectures with HIPAA, GDPR, HITRUST and SOC 2 controls designed in from the start as architectural properties:

PHI domain boundaries

Explicit classification at every interface.

Encryption by default

In transit and at rest, with key management aligned to compliance requirements.

Audit logging

A first-class architectural concern, tamper-evident where required.

Identity and access models

Built to scale beyond ad-hoc role tables.

Data residency

Patterns for US/EU dual deployment.

DevSecOps for regulated software

In healthcare you can't separate security engineering from delivery engineering. We build pipelines and practices that satisfy both:

Pipeline security gates

tuned to PHI-handling services (SAST, dependency and secret scanning).

Audit logging

and evidence collection mapped to HIPAA, HITRUST, and SOC 2 at once.

SBOM and signed

artifacts for procurement by enterprise health systems.

Runtime detection

and incident runbooks calibrated to clinical risk.

See DevSecOps Consulting.

EHR integration architecture

Almost every healthcare product touches EHRs, and the integration story is rarely simple. We design the FHIR and HL7 interfaces, map data between systems and handle each vendor's quirks, retries and audit logging, so clinical data arrives complete and traceable.

High-availability clinical platforms

Clinical software has uptime expectations closer to financial infrastructure than to consumer apps. We design for redundancy, graceful degradation and tested failover, with the monitoring and runbooks your team needs to operate it.

Multi-region deployment with active-active or active-standby patterns

Graceful degradation (a critical workflow keeps functioning even when peripheral services are down)

Defensible SLAs/SLOs for hospital and health-system contracts

Disaster recovery with RPO/RTO calibrated to clinical risk

The underlying scale and reliability capability is covered on Platform Engineering.

AI/ML in healthcare

If your product uses ML or LLMs in clinical workflows, the engineering challenges multiply. You need model traceability, explainability, drift monitoring, PHI handling in training and inference, and a clear story for regulators:

ML/LLM ops aligned to FDA "Good Machine Learning Practice" principles

Inference pipelines that respect PHI boundaries

Evaluation and monitoring frameworks that satisfy clinical review

Capability transfer for healthcare teams

The goal is to make ourselves unnecessary and leave you with:

A documented architecture and engineering handbook your team owns

Trained internal "compliance champions" who can review code for HIPAA/GDPR implications

Runbooks for incident response, audit preparation, and operational continuity

A skills matrix mapping each capability to internal owners

See CoE Design & Transition.

How we work

Phase 1

Co-execution

We take the critical scope and build it in your repos, alongside your team.

Phase 2

Transition

Your team leads the work. We mentor and codify what works.

Phase 3

Self-sufficiency

Your team owns the practice. We step back to strategic counsel.

A typical healthcare engagement runs 9–12 months, depending on scope and starting state. We don't run 3-year retainers. That's what "exit by design" means. More: Delivery as Training, Exit by Design.

Why teams choose us for healthcare work

Senior-only

Every engineer on your project has prior healthcare-compliance experience. We don't learn HIPAA on your time.

Embedded, not outsourced

We work alongside your team, in your repos, on your real problems.

Documentation-first

Everything we build lives in your systems, not in a private vendor knowledge base.

Exit-aware from kickoff

Transition timelines and self-sufficiency milestones are defined in week one.

When to bring us in

You're preparing for HIPAA, HITRUST, or SOC 2 and want controls baked into engineering, not added under audit pressure.

You're selling to enterprise health systems or payors with procurement requirements you don't yet meet.

You're building an AI/ML or LLM-powered clinical product and need a defensible engineering story for regulators.

You're modernising a legacy clinical platform without freezing the product roadmap.

You're building a US/EU dual product with data-residency, GDPR and state-level US requirements to satisfy.

Clinical SaaS compliance platform on a laptop

Case study · Clinical SaaS (NDA)

Passing HIPAA and SOC 2 with a team that owns compliance

100%of target audits passed on the first attempt

Read the case →

Orthodentix treatment planning platform on a laptop

Case study · Orthodentix

Half the planning time, with the orthodontist in charge

−52%treatment planning time, 25 minutes down to 12

Read the case →

Services:

Software Architecture Consulting · DevSecOps Consulting

Industries:

Fintech Software Development SaaS Development Services

Healthcare software development FAQ

We're early-stage and not yet HIPAA-bound. Should we still architect for it?

If healthcare is your trajectory, yes, but pragmatically. We help early-stage teams identify the few small decisions that preserve HIPAA-readiness without overbuilding. Retrofitting HIPAA into an architecture that ignored it is significantly more expensive than designing with it in mind from week one.

Do you work with US, EU, or both?

Both. We have engineers experienced with HIPAA (US), GDPR (EU), and dual-residency patterns. Most modern healthcare products eventually need both.

Can you help us prepare for an FDA submission?

We are not a regulatory affairs firm and we don’t write FDA submissions. But we work alongside your regulatory team to ensure the engineering practices, documentation, and traceability your submission depends on are in place and defensible.

We use a third-party EHR integration platform (Redox, Particle, Health Gorilla). Do we still need integration architecture work?

Often, yes. These platforms simplify the wire-level integration but don’t solve the deeper questions: how integration data flows through your product domain, where your boundaries are, how you handle reconciliation, how you handle EHR-specific edge cases. We’ve worked with all the major aggregators and direct integration patterns.

Our team is small. Will an embedded model work?

Embedded models work well from team sizes of about 8 engineers and up. For smaller teams, we sometimes recommend starting with a Capability Blueprint Workshop to identify where the work will pay off most.

Get an honest read on your healthcare platform's compliance and engineering gaps

Tell us what you are building. On a 30-minute call a senior engineer walks through your compliance and engineering gaps. Or get a first view of the team and timeline in two minutes.

Book a call Estimate my project Write to us