Oktopeak

[ HIPAA-FIRST EHR SOFTWARE DEVELOPMENT ]

Custom EHR development that fits your clinical workflow

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

$26-53K

fixed-price range

[ WHAT WE BUILD ]

Custom EHR software, shaped to your clinical workflow

Not another Epic clone. Real EHRs built around how your specialty actually practices medicine.

Clinical Records & Notes

Structured and unstructured patient records, SOAP and DAP note templates, care plans, and document management with OCR. Built for how your specialty charts.

Scheduling & Intake

Calendar integration, appointment booking, intake forms that auto-populate records, reminder workflows. Reduces no-shows and intake time from hours to minutes.

Integrations: FHIR, HL7, Labs

FHIR R4 endpoints for hospital interoperability. HL7 v2 for legacy systems. Lab integrations (Quest, LabCorp), e-prescribing (DrFirst, Surescripts), state immunization registries.

Compliance & Audit

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 ]

When off-the-shelf EHRs stop making sense

Three patterns we see over and over with teams that outgrew their vendor platform.

01

Your workflow does not fit their software

Specialty practices pay for features they do not use

  • Epic and Cerner designed for hospital systems, not specialty clinics
  • Senior care, behavioral health, and AI-assisted practices force workarounds
  • Staff spends time fighting the UI instead of seeing patients
  • Customization fees on top of $300K-$1M licensing
CRITICAL

02

The AI integration gap

Off-the-shelf EHRs were not built for AI workflows

  • Vendor AI add-ons are locked to the vendor's models and data
  • Direct ChatGPT or Claude integration is not HIPAA-safe without a BAA
  • Clinical summarization, note drafting, and care plan generation need custom architecture
  • Most AI-first healthcare founders end up building custom anyway

03

Escalating cost, zero ownership

Per-seat pricing never stops, and you own nothing

  • A 50-provider clinic on Athena spends $250K+/year on licensing
  • Custom EHR: $26-53K one-time, plus hosting around $300-500/month
  • Break-even inside 18 months for most practices at 15+ providers
  • You own the codebase, the roadmap, and the compliance posture

[ PROCESS ]

How custom EHR development works

Three phases. Scoping, build, embedded support. No guessing.

1. Workflow Scoping (Week 1)

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.

2. Build Phase (Weeks 2-8)

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.

3. Embedded Support (8 Weeks)

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 ]

Healthcare platforms built and passed compliance

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 ]

What a custom EHR actually looks like

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.

Resident profile view showing vitals with trend charts, clinical snapshot with body map, ADL independence scoring, medication administration record, today's care schedule, and AI-driven clinical recommendations.
Resident profile. Vitals trends, ADL independence scoring, medication administration record, today's care schedule, and AI-driven clinical recommendations — one scroll, one source of truth.
Facility dashboard showing census of 47 residents, 286 activities today, 3 late medications, 4 clinical alerts, plus shift-by-shift activity completion charts and a live activity stream.
Facility Dashboard. Census, activities, late meds, clinical alerts at a glance. Shift-by-shift completion rates. Live activity stream.
Residents list split into 'Needs Attention' and 'Stable' sections, showing each resident's ID, care plan letter, today's activity progress bar, last update time, and status.
Residents view. Split by "Needs attention" and "Stable". Care plan, today's progress, and last update in one row.
Main dashboard overview with facility metrics, activity completion heatmap across shifts and teams, and a live feed of caregiver actions.
Main overview. Facility metrics, activity heatmap across shifts and teams, caregiver action feed.
Activity and audit logs view with anomaly counters, flagged items, and a chronological table of every clinical and system action — timestamp, resident, activity, caregiver, care plan, and status.
Audit log. Every clinical action and PHI access logged with timestamp, user, and status. Filterable, exportable — HIPAA-ready on day one.

[ TECH STACK ]

What we build EHRs on

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 ]

HIPAA from day one, audit-ready by week eight

Three pillars we architect into every custom EHR, not bolt on at the end.

Access Controls & Audit

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.

Encryption & Isolation

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.

AI-Safe Architecture

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 ]

What we have already built in care settings

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.

[ FAQ ]

Custom EHR development questions

A focused custom EHR MVP covering one specialty workflow runs $26,000-$53,000 and ships in 6-8 weeks. A full multi-role EHR with clinical notes, scheduling, document management, and compliance audit trails runs $44,000-$53,000 over 8-10 weeks. Every engagement is 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.

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. 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. Patient portal alone: $17K-$44K. Full EHR: $44K-$53K. Both together: scoped on a custom quote.

Still have questions?

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[ GET STARTED ]

Is custom EHR right for your practice?

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.

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