Industry
Healthcare Software Development Services — HIPAA-Aligned, Production-Grade Builds
HIPAA-aligned product engineering for healthcare — EHR / FHIR integrations, telemedicine platforms, AI-assisted clinical documentation, voice synthesis with ElevenLabs, AI video with HeyGen, Twilio communications, Stripe billing, Redis + BullMQ queuing, Kubernetes on EKS, and Cloudflare-secured infrastructure.
The state of healthcare
Healthcare IT spend by 2030
Global healthcare technology market expanding rapidly with digital transformation, AI adoption, and the long tail of EHR modernization.
Provider AI adoption
U.S. healthcare organizations actively deploying or piloting AI for clinical documentation, triage, prior auth, and back-office automation.
Time saved per provider per day
Documented productivity reclaimed via AI-assisted documentation, voice intake, and OCR-driven record entry — meaningful in a workforce-short industry.
What we build for healthcare teams
- HIPAA-aligned architecture: PHI handling, audit logs, KMS encryption, scoped IAM, signed BAAs with every sub-processor
- FHIR (R4) and HL7 v2 integrations with major EHRs: Epic, Cerner (Oracle Health), athenahealth, eClinicalWorks, NextGen, Allscripts
- SMART on FHIR apps embedded inside Epic / Cerner workflows
- Patient portals: appointments, records, secure messaging, lab results, refills, and care coordination
- Telehealth platforms with Tawas scheduling, video, async messaging, e-prescribing, and insurance/payment flows
- AI-assisted ambient clinical documentation using Mistral AI with provider-in-the-loop review
- HeyGen AI video for patient education, intake coaching, and multilingual care delivery
- ElevenLabs voice synthesis for clinical voice assistants, IVR, and patient notification calls
- Twilio for SMS/voice communications, appointment reminders, and HIPAA-eligible messaging workflows
- OCR pipelines (Mistral AI, AWS Textract) for legacy paper records, lab faxes, and referrals
- Persona for identity verification and patient onboarding KYC in regulated telehealth flows
- Stripe patient billing with HSA/FSA support, subscription plans, and self-pay flows
- Redis caching layer for session management, real-time clinical data, and rate limiting
- BullMQ job queues for async processing: document OCR, AI note generation, notification delivery, and report generation
- S3-backed caching and document storage for PHI-compliant file handling and audit artifacts
- Better Auth for modern, flexible authentication flows across patient and provider applications
- Kubernetes on AWS EKS: production-grade container orchestration with GitOps, auto-scaling, and namespace isolation
- Terraform for multi-account AWS infrastructure as code — reproducible, auditable, drift-detected
- Docker containerization with signed images, SBOM generation, and vulnerability scanning in CI
- CI/CD with GitHub Actions, OIDC to AWS, environment protection rules, and compliance evidence collection
- Cloudflare for WAF, DDoS protection, Zero Trust access, and DNS-level security on patient-facing apps
- Sentry for error monitoring, performance tracing, and incident alerting across all services
- Devin AI integrated into engineering workflows for accelerated feature delivery and code review
- Clinical decision support modules with explainability and audit trails
- Remote patient monitoring telemetry from wearables and home devices, with care-team alerting
- Insurance eligibility, claims, and prior-auth automation via Change Healthcare / Availity
- SOC 2, HIPAA, and HITRUST programs with audit-ready evidence collected via CI/CD
- Accessibility built to WCAG 2.2 AA / Section 508 — non-negotiable in healthcare
Why DiveScale
Domain knowledge meets engineering rigor
Healthcare software fails on the seams that less-regulated industries get away with — PHI flowing where it should not, audit trails missing the actions that matter, vendor BAAs assumed but never countersigned. DiveScale ships healthcare software with those seams engineered, not papered over.
We have built HIPAA-aligned products across telehealth, ambient clinical documentation, remote patient monitoring, patient engagement, and EHR-adjacent practice tooling. Our engineers are fluent in FHIR R4, HL7 v2, SMART on FHIR, and the operational realities of integrating with Epic App Orchard, Oracle Health (Cerner), athenahealth, and the long tail of smaller EHRs — including the parts the marketing materials skip.
Our AI healthcare stack is production-proven: Mistral AI for OCR and document intelligence on paper records and lab faxes; ElevenLabs voice synthesis for clinical assistants, IVR, and patient notification flows; HeyGen AI video for multilingual patient education; Twilio for HIPAA-eligible SMS and voice communication. Persona handles patient identity verification at onboarding. Every AI surface has typed tool boundaries, explicit refusal patterns, audit logs, and evaluation suites that catch regressions before they reach providers.
The infrastructure behind our healthcare products is purpose-built for regulated scale: Kubernetes on AWS EKS with namespace isolation per tenant; Terraform for reproducible, auditable infrastructure across dev/staging/prod; Redis for session caching and real-time clinical data; BullMQ for async job processing (OCR, AI note generation, notification delivery); S3 for PHI-compliant document storage and audit artifacts; Cloudflare WAF and Zero Trust for perimeter security; Sentry for error monitoring and incident alerting across every service.
We bake compliance into the platform. SOC 2 and HIPAA controls — access reviews, change management, vulnerability management, incident response — are implemented in code with evidence collected automatically via GitHub Actions CI/CD. Docker containers are signed with SBOMs generated per build. When the audit comes, the evidence is already in S3, not being scrambled for.
And we hold the boring details healthcare actually depends on: WCAG 2.2 AA accessibility, careful state-by-state e-prescribing rules, insurance and prior-auth automation through Change Healthcare or Availity, and patient-facing flows that work on the device a 78-year-old patient is actually holding.
Healthcare solutions we deliver
How we deliver
Our healthcare delivery process
- 01
Compliance discovery
Map the PHI surface area, identify covered workflows, classify data, and decide which controls apply (HIPAA always; HITRUST, SOC 2, state law where relevant). The output is a written compliance map — not an assumption.
- 02
Architecture & landing zone
Multi-account AWS via Terraform; KMS encryption everywhere; least-privilege IAM; Auth0 / Cognito tenants for staff and patient identity with MFA and SSO; audit logging from day one — not retrofitted later.
- 03
EHR integration spike
We build a thin end-to-end EHR integration first (sandbox → staging → production) before adding product features on top. EHR risk should be discovered early, not late.
- 04
Build with safety rails
PHI redaction in non-prod environments; security review per feature; accessibility tested with axe-core + assistive tech; AI surfaces shipped behind eval-gated rollouts.
- 05
Clinical pilot
Pilot with one provider group or service line; weekly clinical-team feedback; measurable success metrics (time saved, documentation quality, patient satisfaction) before broader rollout.
- 06
Production rollout & audit prep
Phased rollout across providers / clinics, with parallel preparation for SOC 2 / HIPAA / HITRUST audits — evidence is already collected, not scrambled for.
- 07
Operate, observe, evolve
On-call coverage, CloudWatch + OpenTelemetry observability, monthly reporting on integration health and AI quality, ongoing penetration testing, and renewal cycles for compliance certifications.
Technologies we deploy for healthcare
OpenAI
Production-grade integrations with GPT-4o, GPT-4.1, o-series reasoning models, Realtime voice, embeddings, and the Assistants API.
Learn moreAnthropic (Claude)
Production builds on Claude Opus, Sonnet, and Haiku — long-context reasoning, tool use, prompt caching, and Computer Use agents.
Learn moreGenerative AI
End-to-end generative AI engineering — strategy, prototype, evaluation, and production for text, image, audio, and code.
Learn moreAgentic Workflows
Multi-step AI agents that plan, call tools, write to systems, and stay inside policy — with human-in-the-loop checkpoints where it matters.
Learn moreReact
Production React engineering — Server Components, design systems, performance discipline, accessibility, and the build tooling modern apps deserve.
Learn moreNext.js
Production Next.js engineering — App Router, RSC, edge runtime, ISR, SEO-first metadata, and the deployment topology that fits your workload (Vercel or self-hosted).
Learn moreTypeScript
End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.
Learn moreNode.js
Production Node.js engineering — NestJS, Fastify, Hono, real-time systems, job queues, and the operational discipline that single-threaded runtimes demand.
Learn morePython
Production Python engineering — FastAPI services, async pipelines, AI/ML workloads, data engineering at scale, and the typed, tested, observable discipline production Python deserves.
Learn moreAWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreAmazon EKS
EKS cluster engineering — IAM Roles for Service Accounts, autoscaling with Karpenter, GitOps with Argo CD, and the observability stack production Kubernetes demands.
Learn moreAWS Lambda
Lambda function design, optimization, and operations — cold-start mitigation, IAM scoping, observability, and the architectures where serverless wins.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreKubernetes
Production Kubernetes engineering — cluster design, GitOps, observability, CIS hardening, multi-tenancy, internal developer platforms, and the day-2 operations the demos skip.
Learn moreDocker
Production Docker engineering — small images, multi-stage builds, BuildKit caching, security scanning, and the operational discipline containers deserve.
Learn moreCI/CD
End-to-end CI/CD engineering — fast builds, deterministic deploys, automated quality gates, and rollback paths that actually work.
Learn morePostgreSQL
Production PostgreSQL — schema design, query tuning, replication, partitioning, and the operational discipline a serious database deserves.
Learn moreMongoDB
MongoDB engineering — schema design, indexing, aggregation pipelines, Atlas operations, and the discipline to use document storage well.
Learn moreIoT
End-to-end IoT engineering — firmware, gateway, edge compute, cloud ingestion, and the dashboards that turn telemetry into decisions.
Learn moreHealthcare — Frequently Asked Questions
DiveScale signs BAAs for engagements involving PHI. We bring HIPAA-aligned architecture, controls, and operational practice — but compliance is a property of the deployed system as a whole, not a vendor checkbox. We help you achieve and maintain it, and we sign sub-BAAs with the cloud services in scope (AWS, Auth0, OpenAI/Anthropic via the right paths).
