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HIPAA Compliant Software Development

Most software becomes HIPAA compliant three weeks before an audit, the most expensive moment to find out the architecture can't support it. DBB Software delivers HIPAA compliant software development where the PHI boundary, encryption, and audit trail are day-one decisions, including the AI layer where most vendors have no answer.

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HIPAA Compliant Software Development

Software We Build That Handles PHI

HIPAA Compliant Software Development Services We Provide

HIPAA Compliant Software Development Services We Provide

Where Does Your HIPAA Project Actually Start?

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Start With a Gap Assessment

You know PHI is in scope but not where your exposure sits. We map the data flows, document what the Security Rule requires at each one, and give you a costed remediation plan.

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Build It PHI-Safe From the Start

A new product, platform, or module where health data will live. The PHI boundary, encryption model, and audit trail get designed before the first schema.

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Bring Live Software Into Compliance

The product exists, and a customer, a deal, or an audit date is forcing the issue. We prioritize by exposure and close gaps without stopping delivery.

Not sure what HIPAA actually requires of your system?

Describe your product and where health data enters it, and get a Scope & Design Document (target architecture, PHI data flows, the controls each one needs, and an effort model) in minutes.

Generate My Mobile Scope

How We Use AI to Accelerate Delivery

AI runs through how we work, from scoping to testing, and senior engineers review everything it produces.

Business Intelligence

Scoping & Documentation

Faster Scope Docs, specs, and technical plans.

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Code Generation

Senior engineers direct the work and review every output.

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Testing & QA

Broader test coverage, with issues caught earlier.

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Research & Integration

Quicker evaluation of tools, libraries, and approaches.

A Compliance Checklist vs. Architected PHI Safety

Anyone can work a HIPAA checklist. Software that holds up in a breach investigation needs the PHI boundary designed into the architecture and senior engineers accountable for it.

A Pre-Audit Checklist Pass

Cheap to run, expensive to rely on:

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Encryption switched on at the storage layer only, so PHI still moves and gets logged in the clear

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No threat model, so nobody can say which paths health data actually takes through the system

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Audit logs that record events but cannot answer who viewed a given patient's record, and when

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Access rules reimplemented screen by screen instead of enforced once, centrally

DBB's Architect-Led PHI Engineering

Built to run in production:

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A senior architect defines the PHI boundary and every data flow crossing it before any code

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Senior engineers review every output before it ships

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ISO/IEC 27001-certified practices from day one

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Signed BAAs across every processor in the chain, model providers included, so no PHI leaves the boundary unaccounted for

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A clear schedule you can plan around: a working proof of concept in 1 week, a functional MVP in a month

How We Use AI in Development

Explore Architect-Led AI

How We Engineer Every HIPAA System

In HIPAA software development, the risk is every place PHI is allowed to travel and every place a control was assumed rather than built. These are the standards we hold each system to.

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PHI Boundary First

Which systems, services, and third parties sit inside the PHI boundary is decided before any feature work, so network design and vendor choices follow one deliberate line.

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Encryption in Transit, at Rest, and at the Field

TLS and full encryption at rest as the floor, with AES-256 field-level encryption on the most sensitive records, so a database compromise doesn't expose readable PHI.

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Audit Logs That Answer Questions

Immutable, queryable logs reconstructing who accessed which record, when, and from where, with retention set deliberately, so an investigation gets answers.

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PHI Boundaries for AI and Model Layers

De-identification before inference, BAA-covered providers only, explicit prompt and log retention, and self-hosted models on the most sensitive paths, so an AI feature doesn't become your largest disclosure risk.

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Least-Privilege Access, Enforced Centrally

Role-based access and MFA defined once and enforced in a single policy layer, so authorization stays consistent as the system grows.

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Breach Detection and a Response Path

Monitoring, alerting, and an owned response runbook built in from the start, so an incident is caught, scoped, and reportable well inside the Breach Notification Rule's 60-day clock.

HIPAA and PHI Case Studies

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Product Discovery for a Compliant Multi-Tenant Home-Care Platform

Challenge:

A UK home-care provider wanted to turn a vision of a digital, family-transparent, AI-assisted care delivery into a development roadmap.

Solution:

A regulation-heavy vision is now a phased System Design Document with a fixed core-vs-later scope.

Data-protection, health-data, accessibility, and reporting requirements are built into the architecture.

The AI wellbeing engine is auditable, with configurable rules, human-in-the-loop, deterministic fallback, no medical-diagnosis claim.

Every major component has a recommended technology, and key risks carry mitigations and exit paths.

Result:

A plan the client can build from, compliance built into the architecture, and a reviewable AI capability.

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Technical Discovery & Modernization Roadmap for a Healthcare Mobile App

Challenge:

A live, subscription-based clinical-reference and practitioner-community mobile app had accumulated production bugs, no crash visibility, and an unmaintainable codebase, and needed it modernized without new features or destabilizing a shipping app.

Solution:

Recurring bugs and an unmaintainable codebase are now a phased System Design Document bounded by a no-new-features line.

Stability defects are root-caused with monitoring first, and the all-at-once rewrite is turned into a controlled, staged sequence.

Operational and compliance levers are remote-controlled and changeable without an app-store release.

A phased accessibility roadmap and a design-system foundation give a clear path to WCAG AA.

Result:

Delivered a fundable plan with stability diagnosis, rewrite strategy, and healthcare-grade remote control.

DispatchHealth Case Study

Delivering a Modern Self-Scheduling Platform for At-Home Care

Challenge:

DispatchHealth needed a digital self-scheduling and onboarding platform that would allow patients and caregivers to request urgent medical care without relying on call-center operators.

Solution:

Designed end-to-end digital scheduling flows that collect patient demographics, medical information, and insurance details with high accuracy.

Built address verification, service-area eligibility, and preferred time-window selection into a seamless onboarding experience.

Integrated all collected data directly into the backend to support triage, dispatch, and operational workflows.

Provided ongoing engineering support to evolve the platform with new scheduling, insurance, and clinical features.

Result:

Enabled a shift from phone-based scheduling to digital self-service, reducing call-center load while improving data completeness, patient satisfaction, and operational efficiency.

DispatchHealth Case Study

Modernizing a Healthcare Platform by Migrating a Monolith to Microservices

Challenge:

DispatchHealth needed to break down its growing Ruby on Rails monolith, which powered mission-critical patient onboarding, insurance logic, and clinical workflows.

Solution:

Designed a long-term migration roadmap and identified high-load features to extract first.

Developed 17 Golang microservices covering patient data, insurance payers, risk stratification, partner-specific rules, and operational logic.

Introduced gRPC for fast, reliable service-to-service communication across clinical workflows.

Implemented a dedicated authorization service and improved system maintainability through clearer service ownership.

Result:

Significantly reduced dependency on the monolith, improved performance across key patient flows, enabled faster inter-service communication, and increased long-term scalability and maintainability for mission-critical healthcare operations.

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Conducting a Compliance Discovery for a MedTech Company

Challenge:

A medtech company needed to prove that its platform could securely store and process sensitive patient data. Before scaling, they required a full HIPAA/GDPR readiness assessment.

Solution:

Reviewed AWS infrastructure, IAM roles, VPC setup, encryption, backups, and access policies.

Documented risks and delivered a remediation plan and compliance roadmap.

Connected the client with certified HIPAA/GDPR auditors and training partners.

Advised on privacy policies, data access, audit requirements, and PHI-handling best practices.

Result:

Delivered a complete compliance readiness roadmap, identified key AWS vulnerabilities, and aligned the client with certified auditors to accelerate HIPAA/GDPR certification.

Doctify Case Study

Implementing Enterprise SSO Integration for a Healthcare Platform

Challenge:

A healthcare platform needed to implement enterprise-grade single sign-on to meet a major client's security requirements and enable seamless user authentication.

Solution:

Implemented SAML 2.0 authentication with OneLogin integration.

Built Just-In-Time Provisioning for automatic user account creation.

Developed security-first session management to prevent hijacking.

Created environment-agnostic testing tools for QA without live data.

Result:

Delivered in under 1 month, multi-tenant architecture enabling new SSO clients in hours, and enterprise security compliance.

Testimonials

“DBB Software's commitment to delivering outstanding AI and custom software solutions was truly impressive”

Mariam Asatryan Avatar

Mariam Asatryan

COO, Software Engineering Company

“DBB Software delivered the first version in record time. The team continues to work on the website with a sense of ownership and pride in their work.”

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Alex Shyba

CTO, Uniform

"Impressive what they have managed to make in such a small time, also suggesting new ways to implement, or new technologies we should be aware of.”

Peder Søholt avatar

Peder Søholt

CTO & Co-Founder, Plaace

"They are skilled, communicative, and dedicated workers. DBB Software has delivered the project on time and with high quality, exceeding the client's expectations"

Alon Gilady avatar

Alon Gilady

CEO, Renovai

"Their level of engagement and collaboration on each project are impressive. The engagement has reduced call center costs and increased overall consumer growth"

Name withheld under NDA avatar

Name withheld under NDA

Product Manager, DispatchHealth

Our Certifications

DBB Software, a certified partner for AWS, Microsoft Azure, and MongoDB, delivers secure, scalable projects.

About Us

100+

Skilled

Professionals

Established in 2015, DBB Software builds innovative, custom digital products for companies whose software handles regulated data. With 50+ partners in our ecosystem and a 97% satisfaction rate, our track record speaks for itself.

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Long-Term Partnerships & Support

With 80% of clients staying 7+ years and our team collaborating for over 5 years, we ensure dedicated long-term support.

Quality Assurance & Standards Compliance

Adherence to CMMI and ISO standards for continuous improvement, quality, and process optimization, so delivery stays predictable as your compliance scope grows.

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HIPAA Engineering Expertise

Our engineers work in PHI data-flow modeling, encryption and access architecture, HL7 and FHIR interoperability, and HIPAA-eligible cloud configuration.

Faster Software Development

We cut development time with architect-led, AI-accelerated engineering, speeding up POC, prototypes, and delivery without lowering the bar.

Scope Your HIPAA Build in Seconds

Describe the product and the health data it will handle, and get a free, instant scope: recommended architecture, the controls each PHI flow needs, and effort tiers, right now.

Generate Mobile Scope

How We Work

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Generate Your Instant Project Preview

Describe your project in our DBB Project Scope Generator, with no calls or emails required. You instantly receive an AI-generated preview covering the proposed architecture, delivery risks, and suggested milestones.

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Unlock the Full AI Scope Document (Free)

Fill out a quick form to receive a free, comprehensive PDF detailing your requirements, proposed architecture, and implementation plan: a strong starting point for our discussions.

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Book Your Intro Call

With your AI Scope Document in hand, book a call with our business development lead. You walk through the plan together, get your questions answered, and agree on the next step. Pick a time here.

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Discovery Sprint

Under an NDA, two senior engineers and a solution architect turn your scope into a build-ready Scope & Design Document, around 60 pages, for $1,777. You get your target PHI-safe architecture mapped, with data-flow and access diagrams, UX wireframes where there is a user-facing product, the control set each flow requires, and a clear cost model. It ends with a fixed bid within ±15%, architect-led in 2–3 weeks.

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Finalizing the Development Proposal

We turn the discovery output into a detailed proposal covering milestones, deliverables, and timelines. You get full transparency on cost and schedule before any development begins.

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Working with the Development Team

Your build runs in phased stages, with regular stand-ups keeping you in the loop. We track delivery in GitLab and standard tooling so progress stays visible at every stage.

Mina Morkos: Business Development Manager

Mina Morkos

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Business Development Manager

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"Our 10 years of software development expertise are embedded in our architect-led, AI-accelerated delivery, so you don't start from scratch; we set everything up fast and build to production standards.

Interested? Fill out the form and book a free consultation!"

Mina Morkos

Mina Morkos

Business Development Manager

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