[ HIPAA-FIRST EHR SOFTWARE DEVELOPMENT ]
Off-the-shelf EHRs make your team bend to the software. We build EHRs that match the way your clinicians actually work, with HIPAA compliance architected from day one. Fixed price, 6-10 weeks, three passed HIPAA audits.
30 min with a co-founder. Honest assessment of custom-vs-buy.
3x
HIPAA audits passed
8 wk
typical EHR MVP
100%
code and IP owned by you
[ WHAT WE BUILD ]
Not another Epic clone. Real EHRs built around how your specialty actually practices medicine.
Structured and unstructured patient records, SOAP and DAP note templates, care plans, and document management with OCR. Built for how your specialty charts.
Calendar integration, appointment booking, intake forms that auto-populate records, reminder workflows. Reduces no-shows and intake time from hours to minutes.
FHIR R4 endpoints for hospital interoperability. HL7 v2 for legacy systems. Lab integrations (Quest, LabCorp), e-prescribing (DrFirst, Surescripts), state immunization registries.
HIPAA architecture from day one. Role-based access, encrypted at rest and in transit, full audit trails on every PHI access. Three independent HIPAA audits passed on shipped platforms.
[ WHY CUSTOM ]
Three patterns we see over and over with teams that outgrew their vendor platform.
01
Specialty practices pay for features they do not use
02
Off-the-shelf EHRs were not built for AI workflows
03
Per-seat pricing never stops, and you own nothing
[ WHERE YOU START FROM ]
Custom EHR development doesn't always mean starting from an empty repository. Two platforms can carry part of the load, and the right choice depends on what you need to own.
MEDPLUM
Medplum is an open-source platform built on FHIR. You get a FHIR data store, auth and access policies, and you write the clinical app on top. Its hosted plans list a standard BAA, and you can self-host the open-source version in your own cloud.
Fits when you want a standards-based record from day one and plan to integrate with hospitals and labs.
HEALTHIE
Healthie gives you charting, scheduling, forms and billing behind a GraphQL API. You build the patient and clinician experience on top. We covered the pattern in the headless EHR rebuild and Healthie integration.
Fits when a virtual or cash-pay practice needs to launch fast and can live with Healthie's data model.
CUSTOM
Everything built for your workflow in your Azure or AWS account: records, notes, scheduling, audit trail, with FHIR endpoints where other systems need them. The senior care EHR shown below is built this way.
Fits when the workflow is unusual (senior care, behavioral health, AI-assisted care) or the record itself is your product.
[ FINISHING A HALF-BUILT EHR ]
A lot of EHR projects reach us mid-flight: the previous agency left, the AI-built prototype stalled, or the last 25% turned out to be the hard part. We start with an audit of the code, the data model and the hosting, keep what works, and give you a fixed plan to finish.
Built with Lovable or Bolt? Read is Supabase HIPAA compliant and our vibe code rescue service.
[ MIGRATING OFF ECLINICALWORKS ]
eClinicalWorks offers an Electronic Health Information export for authorized users at a practice. We take that export, map it to the new EHR's data model, run both systems in parallel, and reconcile patient by patient before switch-over.
Migrations and integrations without a new EHR are covered on EHR integration services.
[ PROCESS ]
Three phases. Scoping, build, embedded support. No guessing.
We map your current clinical workflow, identify the 3-5 must-have modules for a usable MVP, and design the compliance architecture. You get a fixed-price proposal and a phased roadmap before we write code.
Clinical records, scheduling, role-based portals, integrations, and compliance layer. Weekly demos with your clinical lead. Direct Slack access. Every module tested with synthetic PHI before going anywhere near real data.
This is why our EHRs stick. We stay embedded during clinical rollout: weekly office hours, workflow refinement, new module development, and compliance updates. Clinical adoption is a support problem, not a tool problem.
[ WHAT WE'VE SHIPPED ]
8 weeks
AI-Powered Dementia Care EHR
Two connected applications: clinical workflow for care staff and family portal for updates. Angular, .NET, and Azure. Full PHI audit trails on every AI interaction. Shipped in 8 weeks.
12 weeks
Healthcare AI Learning Platform
OpenAI-powered clinical education with HIPAA audit trails on every AI interaction. Quiz generation, document chat, gamification. Passed compliance review.
8 weeks
DEA Compliance Platform
Rescued a broken MVP. 100% automated Form 41 processing, biometric authentication, encrypted video witnessing, append-only audit trail. 65+ API endpoints. Passed DEA inspection.
[ INSIDE THE PLATFORM ]
Screenshots from a senior-care EHR we built. Not a mockup. Real clinical views, built around the workflow that residents, care staff, and clinical leads actually use.
[ TECH STACK ]
Boring, proven, and hire-able. Your in-house team will be able to take over.
Azure / AWS
BAA-covered hosting
Angular / React
Clinical UI
.NET / Laravel
Core platform
FHIR R4 / HL7
Interoperability
Azure OpenAI
HIPAA-safe AI
Elasticsearch
Clinical document search
[ COMPLIANCE ]
Three pillars we architect into every custom EHR, not bolt on at the end.
Role-based permissions mapped to clinical roles. Every access to PHI logged with timestamp, user, action, and reason. Append-only audit trail, retained for 6+ years to satisfy HIPAA.
AES-256 at rest, TLS 1.3 in transit. Data hosted in your cloud tenant under your BAA. Staging environments use synthetic PHI. Production access gated by time-limited credentials.
Azure OpenAI or Claude Enterprise with BAA and training disabled. Zero-data-retention modes where available. Every AI call logged with prompt, response, model version, and reviewer identity.
[ RELATED WORK ]
Records systems live or die on the boring parts: whether a status change can be traced, whether a log can be edited after the fact, whether the audit trail survives scrutiny. Here is that work.
Resident lifecycle from source facility into assisted or independent living: enforced state machine, append-only touchpoint log that cannot be edited or deleted, and a traceable audit event on every status change.
Read it →A HIPAA-compliant education platform for clinicians, with AI-generated assessments from medical literature, credit tracking, and an audit trail built for compliance verification.
Read it →Controlled-substance disposal with remote video witnessing, biometric authentication and automated compliance certificates. Rescued from a broken build and delivered in 8 weeks.
See how we rescue builds →[ FAQ ]
It depends on how many roles, workflows and integrations the first version needs, so we price it after a free scoping call, never before. A focused EHR covering one specialty workflow typically ships in 6-8 weeks; a multi-role EHR with clinical notes, scheduling, document management and audit trails takes 8-10 weeks. Every engagement is a fixed scope at a fixed price, with 8 weeks of embedded support included.
6-10 weeks for the build phase. A recent AI-powered dementia care EHR with two connected applications (clinical workflow plus family portal) shipped in 8 weeks on Angular, .NET, and Azure. 8 weeks of embedded support follows every build to ensure clinical adoption.
Off-the-shelf EHRs like Epic and Cerner cost $300K-$1M+ in first-year licensing and require clinical workflows to bend around the software. Custom makes sense when your workflow is specific (specialty clinic, senior care, AI-assisted care), your user count is under 200, or you need integrations the big vendors do not support. The tradeoff: you own the software and control the roadmap; you also own maintenance. We help assess fit before a single line of code.
HIPAA is architected from day one, not bolted on after. Every custom EHR we ship includes encrypted data at rest and in transit (AES-256), role-based access controls with audit logs, BAA-covered cloud hosting, data retention policies matching state requirements, and full audit trails on every PHI access. Three independent HIPAA audits passed on shipped platforms.
No. No EHR is HIPAA compliant by default, custom or off-the-shelf. Compliance is a property of the whole system: the architecture, the hosting agreement, and the procedures your organisation runs around it. What a custom build gives you is control over the architecture, and we ship it HIPAA-first: AES-256 encryption at rest and TLS 1.3 in transit, role-based access mapped to clinical roles, an append-only audit trail on every PHI access, BAA-covered hosting in your own Azure or AWS tenant, and staging environments that use synthetic PHI. Your policies, staff training, and BAAs with other vendors complete the picture. Three independent HIPAA audits passed on platforms we shipped.
Yes. We have migrated patient records, clinical notes, scheduling data, and billing history from legacy EHRs, spreadsheet-based systems, and off-the-shelf platforms. Migration scripts map your data to the new schema, validate every record, and run parallel systems until you verify accuracy. Data never leaves your cloud tenant during migration.
Yes. FHIR R4 endpoints for interoperability with hospitals, labs, and pharmacies. HL7 v2 messaging for legacy integrations. Lab integrations (Quest, LabCorp), e-prescribing (DrFirst, Surescripts), and state immunization registries are standard scope when needed.
Patient records with structured and unstructured data, clinical notes with SOAP/DAP templates, scheduling with calendar integration, document management with OCR, role-based portals for clinicians and patients, e-prescribing, lab order and results tracking, billing exports, and compliance audit trails. AI-assisted features (clinical summarization, note generation, care plan drafting) are increasingly common.
Yes, and it's a common way projects reach us. We audit the code, data model, access controls and hosting first, keep what works, and give you a fixed plan to finish. We don't rebuild what already works. Repository, cloud accounts and IP move into your name as part of the handover.
Medplum is an open-source FHIR platform: a good base when you want a standards-based record and plan to integrate with hospitals and labs. Healthie is a headless EHR with a GraphQL API: fast for virtual and cash-pay practices that can live with its data model. Fully custom fits unusual workflows or products where the record itself is the product. We recommend one on the scoping call, with reasons.
Yes. eClinicalWorks offers an Electronic Health Information export for authorized users at a practice. We map that export to the new EHR, run both systems in parallel, reconcile counts patient by patient, and switch over only when your clinical lead signs off.
Yes. Every engagement includes a signed BAA before we touch any PHI. We operate within your cloud tenant (Azure, AWS, or GCP) where you control data residency and access. Our developers access PHI only through approved staging environments with time-limited credentials and full audit logging.
Yes, but the architecture matters. Direct integration with consumer Claude or ChatGPT is not HIPAA-safe. We build on Azure OpenAI Service (BAA-covered), Claude Enterprise with training disabled, or zero-data-retention API tiers. Every AI interaction with PHI is logged for compliance auditors.
A patient portal is the patient-facing window: appointment booking, record access, secure messaging, bill pay. A full EHR is the clinician-facing system of record: clinical notes, prescribing, orders, scheduling, documentation. Many engagements include both with shared authentication. Each is scoped and priced on its own after the scoping call.
[ GET STARTED ]
30 minutes with a co-founder. We'll map your clinical workflow, compare custom vs off-the-shelf honestly, and tell you what's worth building.
Accepting 1 new EHR build this quarter