Medical Device Software Development Company

Custom software for medical device startups, SaMD companies, health monitoring hardware makers, and digital health vendors whose clinical software requirements, regulatory obligations, or device data architecture have outgrown generic platforms and off-the-shelf solutions.

  • SaMD platforms and companion apps built to FDA premarket submission requirements and IEC 62304 software lifecycle standards

  • Device data collection pipelines using AWS IoT, Azure IoT Hub, and Bluetooth Low Energy for continuous and periodic telemetry

  • Remote patient monitoring interfaces with real-time alert workflows, clinician dashboards, and FHIR R4 data models

  • Clinical data management systems with audit trails, role-based access, and HL7 integration to existing EHR platforms

Recognition

Sound familiar?

  • Sitting on a working hardware prototype but no compliant software layer to collect, store, or display the device data it generates?

  • Your development team can build features fast but keeps hitting walls around FDA documentation, IEC 62304 traceability, and HIPAA data handling requirements?

  • Remote patient monitoring data flowing into spreadsheets and manual review queues because no purpose-built clinical interface exists?

The short answer

RaftLabs builds custom medical device software for SaMD companies, health monitoring device makers, and digital health startups. We ship FDA-compliant software including SaMD platforms, remote patient monitoring interfaces, clinical data collection systems, and device data pipelines built to IEC 62304 and HIPAA standards. Most projects deliver in 12 to 20 weeks at a fixed, agreed cost.

What is medical device software?

Medical device software is purpose-built software that either functions as a medical device itself (Software as a Medical Device, or SaMD) or is embedded in a hardware medical device to drive its operation. It covers everything from companion mobile apps that pair with wearable health monitors, to clinical data management platforms that collect, process, and display patient data for clinical decision-making. Medical device software development follows regulated lifecycle standards, primarily IEC 62304, and requires compliance with FDA premarket submission requirements and HIPAA data protection rules.

01 Diagnosis

Problems we solve in medical device software

  1. 01
    Problem

    Hardware is ready but software compliance is blocking your regulatory submission

    Solution

    You have a working device prototype. The clinical validation is in progress. But the software layer that drives the device, collects its data, or displays readings to clinicians was built without a documented software development lifecycle, and the FDA's premarket submission requirements demand one.Assembling IEC 62304-compliant documentation after the fact is expensive and slow. Traceability between requirements, design decisions, and test results has to be reconstructed from memory and commit logs. Each revision cycle to close documentation gaps delays your submission by weeks.We scope the regulatory documentation artefacts alongside the product build so the Software Requirements Specification, risk analysis, and verification records are produced as code is written, not pieced together under submission pressure. According to IntuitionLabs, organizations applying IEC 62304 early in development reduce time-to-market by an average of four to six months.

  2. 02
    Problem

    Device data ends up in spreadsheets because no compliant collection platform exists

    Solution

    Your device generates continuous telemetry: vitals, sensor readings, usage events. Today that data lands in CSV exports or manual review queues because the software infrastructure to receive, store, and surface it at clinical scale was never built.The cost is two-fold. First, clinical staff spend hours per week manually reviewing raw data exports, catching alerts late and missing patterns that a structured dashboard would surface immediately. Second, data held outside a HIPAA-compliant environment creates regulatory exposure that grows with every patient added.A purpose-built device data collection platform built on AWS IoT or Azure IoT Hub receives telemetry in real time, stores it in a HIPAA-compliant data environment with full audit logging, and surfaces it to clinicians through a structured dashboard with configurable alert thresholds. Manual review queues disappear.

  3. 03
    Problem

    Remote patient monitoring runs on disconnected tools with no clinical workflow

    Solution

    Patients are using the device at home. Data is coming in from Bluetooth-connected wearables or cellular-connected monitors. But the clinical team reviews it through a patchwork of vendor portals, phone calls, and email threads because no integrated remote patient monitoring interface exists.Late alert responses, missed readings, and clinician time spent on coordination rather than care are the operational symptoms. As patient volume grows, the patchwork breaks down completely and the program cannot scale without hiring more coordinators.A remote patient monitoring interface built for your clinical workflow puts all active patient data in one screen, routes alerts to the right clinician automatically, and documents every clinical decision in the patient record. The 2025 Medicare Physician Fee Schedule introduced bundled reimbursement codes for care-team time spent managing SaMD-sourced vitals, which means a structured RPM workflow is now a billing requirement, not just an operational preference.

  4. 04
    Problem

    EHR integration is stalled because the device data format does not match what the hospital IT team accepts

    Solution

    The hospital system your device is deployed in runs Epic or Cerner. Their IT team will accept FHIR R4 resources or HL7 v2 messages. Your device outputs proprietary binary or CSV data. The translation layer between them does not exist, so device data sits siloed in a vendor portal that clinicians do not check.Integration stalls turn into sales blockers. Procurement decisions at hospital systems increasingly require demonstrated EHR integration before a device enters the approved vendor list. Without it, your commercial pipeline slows and each deployment requires a manual configuration engagement.We build device data middleware that transforms raw telemetry into HL7 v2 ORU messages or FHIR R4 Observation resources and delivers them to the target EHR. SMART on FHIR for app launch within Epic, DICOM for imaging data, and bi-directional HL7 interfaces for result acknowledgment are all patterns we implement.

02 What we ship

Medical device software we build

  1. SaMD platforms and companion apps

    We build Software as a Medical Device for iOS, Android, and web, covering the full software lifecycle required by IEC 62304. That means a documented Software Requirements Specification, a risk analysis aligned to ISO 14971, a Software Design Specification, and a full set of verification and validation test records that form part of your FDA premarket submission package.

    Bluetooth Low Energy pairing with wearable and portable medical devices, cloud data transmission over Wi-Fi and LTE, and over-the-air firmware update management are all standard connectivity patterns we implement. UI design follows FDA human factors guidance so the interface does not introduce use errors that become adverse event reports.

    Built for SaMD startups preparing for FDA 510(k) or De Novo submission, medical device makers adding a regulated software companion to an existing hardware product, and digital therapeutics companies building prescription software.

  2. Device data collection and IoT platforms

    We build the backend infrastructure that receives telemetry from medical devices at scale: AWS IoT Core, Azure IoT Hub, or Google Cloud IoT for device connectivity; HIPAA-compliant data storage with encryption at rest; role-based access controls; and a complete audit log of every data access and modification that satisfies HIPAA technical safeguard requirements.

    Data ingestion handles continuous streams from wearable sensors and periodic batch uploads from portable devices. Configurable alert rules fire when readings cross clinical thresholds, routing notifications to the appropriate clinical user. Time-series data is stored in a format that supports both real-time dashboards and retrospective clinical reporting.

    Built for health monitoring device makers without an existing data backend, RPM program operators replacing manual data review processes, and digital health companies connecting multiple device types to a single data platform.

  3. Remote patient monitoring interfaces

    We build clinician-facing RPM dashboards that aggregate patient data from connected devices, display readings against configurable clinical thresholds, and route alerts to the responsible care team member without a manual triage step. Patient list views, individual patient timelines, reading trend charts, and alert acknowledgment workflows are all part of the standard interface pattern.

    Patient-facing companion apps display readings back to the patient with education content, medication reminders, and symptom logging. Secure messaging between patient and care team reduces phone call volume. The 2025 Medicare Physician Fee Schedule bundled CPT codes for RPM care management time, so the workflow also captures the documentation needed for reimbursement claims.

    Built for RPM program operators scaling past what spreadsheet-based review can handle, health systems building an in-house RPM capability, and device companies that need a clinical interface to accompany their device in hospital procurement conversations.

  4. Clinical data management systems

    We build clinical data management platforms that collect structured data from medical devices, clinical staff, and patient-reported outcomes; store it in a HIPAA-compliant environment with full audit logging; and make it available to the right user through role-based access controls. Every data field is timestamped and attributed to its source. Every access event is logged. Every modification is versioned.

    Configurable data collection forms handle device onboarding, clinical assessments, and adverse event reporting. Reporting tools export data in formats compatible with FDA postmarket surveillance requirements and IRB-defined clinical study protocols. Integration with existing EHR platforms via FHIR R4 or HL7 v2 keeps the clinical record current without duplicate data entry.

    Built for clinical research organizations managing device study data, health systems running postmarket surveillance programs, and medical device companies building the data infrastructure needed for FDA 522 postmarket study obligations.

  5. EHR integration and interoperability

    We build the integration layer between medical device data and the EHR systems hospital IT teams will accept. Device telemetry is transformed into FHIR R4 Observation, DiagnosticReport, or DeviceMetric resources for systems running Epic's FHIR API or Cerner Millennium. HL7 v2 ORU interfaces handle legacy integration requirements at health systems that have not yet migrated to FHIR. DICOM integration handles imaging-adjacent device data.

    SMART on FHIR enables your application to launch in-context within the Epic or Cerner clinical workflow, so clinicians access device data without switching systems. Bi-directional interfaces support result acknowledgment and order-driven device activation workflows. Every integration is scoped against the specific EHR version and site configuration rather than a generic specification.

    Built for medical device companies whose hospital sales are blocked by missing EHR integration, digital health startups building SMART on FHIR applications for Epic App Orchard, and RPM operators whose device data needs to land in the patient record automatically.

  6. Regulatory documentation and software validation

    We produce the software documentation package that FDA premarket submissions require: a Software Requirements Specification that maps to the IEC 62304 software safety class, a risk analysis in ISO 14971 format, a Software Design Specification with architecture diagrams, and a verification and validation test report covering unit, integration, and system testing. A Software Bill of Materials satisfies the FDA's cybersecurity documentation requirement for connected devices.

    Change control documentation covers every post-release modification with an assessment of safety impact, updated risk analysis, and regression test evidence. Postmarket cybersecurity monitoring includes a vulnerability management plan and a defined process for issuing patches within the FDA's expected response timeframes for the device's risk class.

    Built for medical device startups preparing their first 510(k) or De Novo submission, established device companies adding SaMD to an existing hardware submission, and quality teams that need a development partner who produces compliant documentation as a standard output, not an afterthought.

03 How we work

How we build medical device software

  1. 01

    Discovery

    We map the device, the clinical workflow it serves, and the regulatory classification that applies to the software. FDA 21 CFR Part 820 quality system requirements, IEC 62304 safety class, HIPAA technical safeguard obligations, and any state-level data protection requirements are all documented before development begins. Integration touchpoints with existing EHR systems, device connectivity protocols, and clinical user roles are scoped in detail. A fixed-price specification covering product scope, regulatory documentation artefacts, and delivery milestones is produced and agreed before any code is written.
  2. 02

    Design

    We design the system architecture around the safety class and clinical use case. The data model, access control structure, device connectivity layer, and EHR integration approach are all defined before implementation begins. FDA human factors guidance shapes the UI so the interface reduces rather than introduces use errors. Risk analysis in ISO 14971 format is started at this stage so identified hazards influence design decisions rather than being documented after them.
  3. 03

    Build

    Development follows the IEC 62304 software lifecycle with maintained traceability between requirements, design decisions, implementation, and test results. Working software ships at each two-week checkpoint so clinical stakeholders can validate behaviour against real device data rather than static specifications. Core data collection and display functionality ships first. Alert workflows, EHR integration, and reporting follow in subsequent builds.
  4. 04

    Validation and launch

    Formal software validation covers unit testing, integration testing against the device and any EHR systems in scope, and system-level testing against the Software Requirements Specification. Penetration testing against OWASP and FDA cybersecurity guidance is completed before go-live. Post-launch support covers regulatory change management, postmarket surveillance data requirements, and product iterations as clinical use generates new requirements.

Companies we've built for

Vodafone
Nike
Microsoft
Cisco
T-Mobile
Aldi
Heineken
GE

04 Track record

What medtech teams get when they work with us

Week delivery for medical device software platforms, from discovery to validated launch
12-20
Software products shipped across healthcare, biotech, and medical technology
100+
Cost agreed before development starts, no change orders for scope defined at discovery
Fixed
Software lifecycle documentation produced as a standard output on every regulated build
IEC 62304

06 Client voices

What our clients say

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

D
Daniel Reeves
USA flagUSA
CEO

RaftLabs nailed what other agencies couldn't — they started with our business problem and worked backwards to the right product. We were live in 14 weeks.

07 Why us

Why choose us?

  1. 01

    We've seen your problem before

    The industry changes. The broken process usually looks the same. Across 14+ industries and 100+ products, we recognise your problem fast, and we frame the fix around your margin and your operations.

  2. 02

    We own the number, not the ticket

    We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.

  3. 03

    Serious businesses trust us

    Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Six years, 100+ products in production, 4.9 on Clutch. Serious businesses keep coming back because we stay accountable long after launch.

08 Questions

Frequently asked questions

Yes. We build SaMD with the documentation artefacts FDA requires for 510(k) and De Novo submissions: Software Requirements Specification, Software Design Specification, risk analysis aligned to ISO 14971, verification and validation test records, and a Software Bill of Materials for cybersecurity review. We scope the regulatory documentation package during discovery alongside the product build, so the submission artefacts are produced as the software is written, not assembled after the fact.

Yes. Our development process maps to IEC 62304 software safety classes A, B, and C. That means defined software development planning, requirements analysis, architectural design, detailed design, unit and integration testing, and a maintained problem resolution process. We document the lifecycle as we go, so every change is traceable from requirement to test result. If your product sits in Class B or C, we build the traceability matrix into the workflow from day one.

HIPAA technical safeguards are designed into the architecture during discovery, not bolted on at the end. That means encryption of protected health information at rest and in transit, role-based access controls, session management and automatic logoff, a complete audit log of every access and modification to patient data, and a Business Associate Agreement covering our engagement. We do not provide legal compliance advice, but we build the technical controls your compliance team needs.

A focused build, such as a companion mobile app for a wearable device or a remote patient monitoring dashboard, typically delivers in 12 to 16 weeks and falls in the $40,000 to $80,000 range. A full SaMD platform covering device data ingestion, clinical data management, clinician dashboards, and EHR integration via FHIR typically runs $80,000 to $200,000 depending on device complexity, safety class, and the number of integration points. Fixed cost is agreed before development starts.

Yes. We build device data pipelines that transform raw telemetry into HL7 v2 or FHIR R4 Observation resources and deliver them to the target EHR or downstream analytics platform. SMART on FHIR for app launch within Epic, bi-directional HL7 interfaces, and DICOM for imaging-adjacent data are all integration patterns we implement. The integration complexity is scoped during discovery and factored into the fixed price.

Both. Early-stage startups often come with a hardware prototype and need the software and regulatory documentation built from scratch. Established device companies typically need a new SaMD companion, a data platform for a new device line, or an EHR integration to unblock hospital sales. The engagement structure is the same: fixed scope, fixed cost, IEC 62304-compliant process from day one.

Ready to build your medical device software?

Tell us what you are building, where you are in the regulatory process, and what your device data needs to do. We will scope it out together.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.