GODELIAN

Service — healthcare software development

Healthcare software development, compliant from day one.

Healthcare software development means building HIPAA-compliant applications for clinical and care workflows — patient monitoring, telemedicine, referrals, records, and provider–patient platforms — where security, auditability, and data isolation are non-negotiable. Godelian has shipped healthcare software in production: multi-tenant platforms connecting providers and patients, with encryption at rest and in transit, role-based access enforced at the database, and full audit trails. Built on Next.js and Supabase, scoped to a provable first version, typically for $15–30k — with the compliance architected in, not bolted on later.

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100%
Job Success Score on Upwork
Top 1%
Expert-Vetted on Upwork
5.0★
Average rating
$1.5M
VC funding raised

Healthcare software is held to a higher bar: protected health information (PHI) has to be encrypted, access has to be controlled and logged, and a single leaked permission is a breach, not a bug. That standard has to be designed in from the first commit — you cannot sprinkle HIPAA compliance on at the end.

Godelian builds to that standard because it has shipped healthcare in production, not just talked about it: a platform connecting personal-injury attorneys with medical providers, a HIPAA-compliant patient-monitoring system, and a B2B2C nutrition platform serving practitioners and their patients. Each one isolates every tenant's data with row-level security, encrypts PHI at rest and in transit, and writes an audit trail of who accessed what.

The approach is the same as the rest of our work — scope to the core clinical workflow, ship it fast, then harden — but with compliance as a first-class constraint. Deterministic logic runs anything that must be exact; AI assists with drafting and extraction under human review, never making a clinical or financial decision on its own.

What clients say

Andrew was a pleasure to deal with start to finish. Always responsive, great at implementing changes and making adjustments, and displayed incredible patience.

Client, legal/healthcare platform ($18,500) — 5.0★ Upwork review

Relevant work

Nexus Medical Network

A HIPAA-conscious platform connecting attorneys and medical providers — multi-tenant isolation, coordinated records and liens, and a full audit trail across organisations.

Accuhealth

A HIPAA-compliant remote patient-monitoring platform — secure device data, role-based clinical access, and auditable workflows.

NutriAI

A B2B2C healthcare platform serving practitioners and their patients from one multi-tenant product, with AI-assisted, human-reviewed guidance.

healthcare software development — questions

Can you build HIPAA-compliant software?

Yes — Godelian has shipped HIPAA-compliant healthcare platforms in production. That means PHI encrypted at rest and in transit, access controlled with role-based permissions enforced at the database, an audit trail of every access, secure server-side handling, and business-associate-ready architecture. Compliance is designed in from day one, not retrofitted.

How much does healthcare software development cost?

A HIPAA-compliant healthcare MVP at Godelian typically costs $15–30k and ships in weeks, with cost rising for more integrations (EHR, devices), roles, and compliance scope. The core clinical workflow is built and secured first, then extended as it proves out.

What healthcare software have you built?

A B2B platform connecting personal-injury attorneys with medical providers (Nexus Medical Network), a HIPAA-compliant remote patient-monitoring system (Accuhealth), and a B2B2C nutrition platform serving practitioners and patients (NutriAI) — all multi-tenant, secure, and auditable.

How do you handle PHI and patient data securely?

PHI is encrypted at rest and in transit, isolated per tenant with row-level security so no organisation can see another's data, accessed only through role-based permissions, and logged to an append-only audit trail. Sensitive handling stays server-side, and AI never makes an unsupervised clinical or financial decision.

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