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Healthcare software development for products clinicians trust

We deliver full-cycle healthcare software development — from telemedicine app development and EHR integrations to AI diagnostics and remote patient monitoring. Healthtech development with HIPAA and GDPR compliance designed into the architecture from day one, not patched in when the audit arrives.

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Healthcare software development services

Custom healthcare software — from telemedicine app development and patient portals to AI diagnostics and hospital systems

EHR & EMR Development

Custom electronic health record systems with HL7 FHIR integration, clinical workflows, multi-provider access and audit trails. Built to your clinical processes — not forced into a generic template.

Telemedicine App Development

Video consultations, asynchronous messaging, e-prescriptions, appointment scheduling and insurance billing. HIPAA-eligible WebRTC infrastructure — works on the devices your patients actually use.

Patient Portal Development

Secure web and mobile portals for appointment management, lab results, care team messaging and records access. HIPAA-compliant at the data layer, not just the login screen.

Remote Patient Monitoring (RPM)

IoT and wearable integrations that collect vitals, track symptoms and alert clinicians when readings cross thresholds. Handles unreliable connections and data gaps without losing clinical context.

AI Diagnostics & Clinical Decision Support

ML models for medical imaging analysis, early diagnosis assistance, predictive RPM alerts and NLP for clinical notes. Validated against your clinical data — not a generic benchmark.

mHealth App Development

iOS and Android health apps for patients, clinicians and caregivers. Medication tracking, symptom logging, care plan adherence and secure messaging — offline capable, WCAG 2.1 AA accessible.

Hospital Information Systems

Operational platforms for hospitals and multi-site providers — department management, laboratory, pharmacy, scheduling and billing. Connects your clinical and administrative workflows in one system.

Healthcare System Integration

HL7 v2 interfaces, FHIR R4 APIs, lab connectors, pharmacy integrations and insurance eligibility checks. Epic App Orchard, Cerner SMART on FHIR and custom HL7 pipelines — done in production.

Healthtech development built for your segment

From pre-seed to Series B — we run discovery to define architecture and compliance scope, then build the HIPAA-ready MVP your investors and regulators need. No compliance surprises mid-fundraise.

  • Digital Health Startups

    From pre-seed to Series B — we run discovery to define architecture and compliance scope, then build the HIPAA-ready MVP your investors and regulators need. No compliance surprises mid-fundraise.

  • Hospitals & Clinics

    EHR modernization, patient portals, scheduling systems and care coordination tools for providers with existing infrastructure. We integrate without disrupting live operations.

  • Telehealth Providers

    Scalable telemedicine platforms with video consultation, e-prescribing, EHR integration and multi-provider workflows. HIPAA-eligible video infrastructure from day one.

  • MedTech Companies

    Software for medical devices and SaMD — ISO 13485 and FDA 21 CFR Part 11 compliant. DICOM integration, audit trail, electronic signatures and the validation documentation your regulatory team needs.

  • Health Insurers & Payers

    Claims processing platforms, member portals, eligibility verification APIs and care management tools. SOC 2 Type II aligned architecture for enterprise payer requirements.

  • Pharma & Life Sciences

    Patient engagement apps, clinical trial data platforms, medication adherence tools and pharmacovigilance integrations. Built for the regulatory complexity of pharma-facing digital products.

80% of healthtech clients keep the team past the first milestone

Telemedicine platforms processing live consultations. EHR integrations exchanging real clinical data. Remote monitoring systems alerting clinicians at 2am. The engineers who built your HIPAA-compliant data layer are the same ones responding to production incidents six months after launch.

We design for the regulations that apply to your product — not a generic checklist applied to every engagement

Healthcare compliance built into the architecture — not added after the audit

HIPAA

PHI encryption at rest and in transit, Business Associate Agreements with every vendor in scope, audit logging, minimum necessary access controls and breach notification procedures — designed into the data model, not bolted on as features.

GDPR

Health data is a special category under GDPR — stricter requirements than standard personal data. We implement explicit consent management, EU data residency, right to erasure and DPA agreements for products serving EU patients.

HL7 FHIR R4

HL7 v2 message parsing and FHIR R4 API development for interoperability with Epic, Cerner and any EHR that speaks the standard. SMART on FHIR app certification for marketplace integrations.

DICOM

Medical imaging data exchange with PACS and RIS systems — radiology, MRI, CT and pathology. DICOMweb for modern web-based viewer integrations. Correct handling of metadata, series and study identifiers.

ISO 13485 & FDA 21 CFR Part 11

For Software as a Medical Device (SaMD) and medical device software — quality management processes, electronic signatures, audit trail and the validation documentation your regulatory submission requires.

SOC 2 Type II

Security, availability and confidentiality controls for healthcare SaaS platforms serving enterprise payers and health systems. We align controls from the start — not as a pre-audit sprint three months before the assessment.

Start a project

Compliance scoping before code. Working builds every two weeks.

How We Build Healthcare Software

    Discovery & compliance scoping

    Week one is architecture and regulatory mapping. We identify which standards apply to your specific product — HIPAA scope, GDPR applicability, FHIR integration requirements — and produce a compliance roadmap you can share with your board, legal team or investor. Output is a document and architecture decision record, not a Figma.

    FHIR architecture & clinical UX design

    Data model, API contracts, PHI boundaries and EHR integration design are settled before development starts. Clinical workflow UX — patient onboarding, consultation flow, provider dashboard — runs in parallel. Design does not wait for architecture to finish.

    HIPAA-compliant build & QA

    Two-week sprints with working demos. Security controls, encryption and audit logging are built as features are shipped — not added pre-launch. Penetration testing and HIPAA technical safeguard review happen in the same sprint cycle, not as a separate phase.

    Launch, certification & long-term support

    CI/CD, monitoring and incident response are live before go-live. Post-launch we track clinical data integrity, API uptime and security events. Most healthtech clients retain the team for 12+ months — the engineers who built your FHIR layer know where the edge cases are.

Healthcare technology stack

    React / Next.js

    patient portals, provider dashboards and clinical management interfaces — accessible, performant, WCAG 2.1 AA compliant

      React Native

      cross-platform mHealth apps for iOS and Android — shared codebase, offline support, biometric auth and wearable data sync

        Node.js

        FHIR API servers, real-time clinical messaging and webhook handlers — event-driven, broad healthtech SDK support

          Python

          AI diagnostics models, NLP for clinical notes, predictive RPM alert engines and healthcare data pipelines — rich ML ecosystem

            AWS

            primary cloud for HIPAA-eligible infrastructure — HealthLake, BAA coverage, VPC isolation and managed KMS for PHI encryption

              Azure Health

              FHIR Service, DICOM Service and Azure Health Data Services for enterprise health systems and EU data residency requirements

                PostgreSQL

                default PHI datastore — row-level security for multi-tenant isolation, ACID guarantees for clinical records, point-in-time recovery

                  Docker

                  every service containerized — identical environments from local development to the HIPAA-scoped production cluster, no environment gaps

                    Kubernetes

                    orchestrates clinical microservices at scale — rolling deploys with zero downtime, horizontal scaling for peak consultation loads

                      Terraform

                      all healthcare infrastructure as code — VPC, security groups, IAM policies, KMS keys. Versioned, reviewed before apply, auditable for HIPAA

                      Why healthtech companies build with Binerals

                      We have shipped healthcare products

                      Telemedicine platforms, EHR integrations, mental health apps, RPM tools and wellness products. We know the clinical workflows, interoperability requirements and compliance decisions that matter before you start building.

                      HIPAA is an architecture decision, not a feature

                      PHI handling, access controls, audit logging and BAA scope are designed into the data model and infrastructure from day one. Adding them after the fact costs more and leaves gaps that appear in your first security audit.

                      Discovery to HIPAA MVP in 8–12 weeks

                      Compliance work runs in parallel with product development — it does not push the timeline out by months. We have done this enough times to know what moves in parallel and what must be sequential.

                      EU nearshore — full timezone overlap

                      Engineering offices in Ukraine, Austria, Bulgaria and Germany. EU clients get full working-hours overlap. US East Coast gets 5–7 hours daily. Decisions happen in real-time calls — not over Slack threads that span two calendar days.

                      HL7, FHIR and the integrations you need

                      Epic, Cerner, Allscripts, lab systems, pharmacy networks and insurance eligibility APIs. We have written the HL7 parsers and the FHIR resource mappings — not called a third-party middleware wrapper.

                      Full-cycle, one team

                      Product design, engineering, QA and ongoing support in one engagement. The team that built your HIPAA-compliant data layer is the same team that builds the patient-facing UI — and answers the 2am alert six months after launch.

                      Healthcare software development — built for:

                      Digital health startups

                      Clinics modernizing legacy systems

                      Telemedicine providers

                      Medical device manufacturers

                      Health insurance portals

                      Mental health platforms

                      Pharma patient engagement apps

                      Healthcare investors & VCs

                      Frequently Asked Questions

                      Our healthcare software development process starts with a discovery and compliance scoping sprint — typically one to two weeks. We map which regulations apply to your specific product (HIPAA scope, GDPR applicability, FHIR integration requirements), define the data architecture and produce a compliance roadmap before any code is written. Development runs in two-week sprints with working demos at the end of every cycle. Compliance controls are built as features ship — not added in a pre-launch sprint. Most clients reach a HIPAA-compliant MVP in 8–12 weeks from discovery kick-off.

                      Yes, full-cycle telemedicine app development is one of our core offerings. We handle everything from discovery and compliance architecture to HIPAA-eligible video infrastructure (WebRTC via Twilio or Daily.co), appointment scheduling, secure messaging, e-prescribing and EHR integration. A focused telemedicine MVP — video consultations, scheduling and patient accounts — typically takes 8–12 weeks. A complete platform with FHIR-based EHR integration, e-prescribing and multi-provider workflows takes 5–9 months depending on scope.

                      HIPAA compliance is an architecture decision made in week one, not a checklist applied before launch. We scope the PHI data environment, define encryption requirements at rest and in transit, implement role-based access controls with minimum necessary access, build comprehensive audit logging, and sign Business Associate Agreements with every vendor in the technical stack whose services touch PHI. We also conduct HIPAA technical safeguard reviews and penetration testing as part of the sprint cycle — not as a separate phase that delays delivery.

                      HL7 FHIR (Fast Healthcare Interoperability Resources) is the modern standard for exchanging clinical data between healthcare systems. It matters for healthtech development because without FHIR, your product cannot exchange data with hospital EHRs, labs, pharmacies or insurance systems — which limits what your product can do. We build FHIR R4 APIs, handle SMART on FHIR authorization flows and write the resource mappings for Patient, Appointment, Encounter, Observation and DocumentReference. We have also worked with HL7 v2 message parsing for legacy system integrations that predate FHIR.

                      Yes. We have production experience with Epic App Orchard integrations, Cerner SMART on FHIR apps, Athenahealth API and custom HL7 v2 interfaces for legacy systems. We write the FHIR resource mappings and the HL7 parsers — not just calling a third-party middleware. EHR integration scope is defined during discovery: we identify the exact data flows, authentication model and testing environment access before development starts, so there are no surprises mid-project when the EHR vendor changes an API behavior.

                      A focused MVP — patient portal, telemedicine feature or appointment booking with basic EHR data read — typically takes 8–14 weeks from discovery to launch. Comprehensive EHR platforms or hospital management systems take 4–8 months. Enterprise platforms with AI diagnostics, multi-site deployment and deep EHR integration take 9–18 months. We run a scoped discovery phase before committing to a timeline — the estimate reflects actual scope, not a placeholder we adjust later.

                      Yes. Many clients engage us before writing a line of code. We run a discovery workshop — typically 2–4 weeks — that covers product definition, compliance scope mapping, FHIR integration requirements, architecture options and MVP feature prioritization. Output is a compliance roadmap, architecture decision record and scoped development plan. Getting the HIPAA architecture right before you build saves significantly more time than adding it after the first security audit flags the gaps.

                      We build AI and ML into healthcare products as embedded features — not as separate services bolted on after launch. Common implementations include: medical image analysis models for radiology and pathology, NLP for extracting structured data from clinical notes, predictive alert engines for remote patient monitoring (flagging readings before they become clinical events), AI symptom triage for patient-facing apps, and population health analytics that surface risk cohorts from EHR data. Models are validated against your clinical data before deployment — not tested on a generic benchmark.

                      Health data is classified as a special category of personal data under GDPR, subject to stricter requirements than standard personal data. Processing is only lawful under specific conditions — explicit consent or medical necessity. Practically this means: explicit consent mechanisms with granular control, EU data residency (no PHI stored outside the EEA without adequate safeguards), right to erasure implemented at the data model level, Data Processing Agreements with every sub-processor, and a Data Protection Officer if you process health data at scale. We design for all of this from the data model — not from the privacy policy page.

                      Remote Patient Monitoring (RPM) software connects wearables and IoT medical devices — glucose monitors, blood pressure cuffs, pulse oximeters, ECG patches — to a cloud platform that stores readings, surfaces a clinician dashboard and triggers alerts when values exceed thresholds. We build RPM systems using HL7 FHIR for data exchange, HIPAA-eligible cloud infrastructure for storage, Python-based ML models for predictive alerting and React dashboards for care team views. Key engineering challenges we solve by design: intermittent device connectivity, data normalization across different device manufacturers, alert fatigue reduction and audit-trail requirements for clinical use.

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