FreedomDev builds FDA-compliant software for medical device companies — 21 CFR Part 11 validated systems, IEC 62304 lifecycle management, and SaMD applications with the documentation and audit trails regulators require. From Class I accessories to Class III implantable device software, we deliver the Design History File, traceability matrices, and verification/validation protocols your regulatory team needs for 510(k) and PMA submissions.
Medical device software is not regular software with a compliance layer bolted on top. It is a fundamentally different development discipline where every design input traces to a design output, every output traces to a verification activity, and every verification traces to a validation protocol — all documented in a Design History File (DHF) that FDA reviewers will scrutinize during your 510(k) or PMA submission. The average 510(k) clearance takes 132 days from submission to decision. A De Novo classification request averages 293 days. A Premarket Approval (PMA) application averages 261 days. Every one of those timelines assumes your software documentation is complete, consistent, and traceable. A single gap in your requirements traceability matrix — one design input without a corresponding verification test — and you are looking at a major deficiency letter that resets the clock.
21 CFR Part 11 defines the FDA's requirements for electronic records and electronic signatures. If your medical device software creates, modifies, maintains, archives, retrieves, or transmits any record that FDA regulations require you to keep, Part 11 applies. The requirements are specific: electronic signatures must be linked to their respective electronic records, signed records must not be altered without generating an audit trail entry, and the system must use authority checks to ensure only authorized individuals can use the system and sign records. Audit trails must be computer-generated, timestamped, and must record the operator identity, the date and time, the previous value, the new value, and the reason for the change. These are not optional features. Companies like Medtronic, Boston Scientific, and Abbott maintain validation master plans that cover every software system touching regulated data — from manufacturing execution systems to clinical data repositories to complaint handling databases. When FDA inspectors arrive for a facility inspection, 21 CFR Part 11 compliance is not a line item they check — it is a lens through which they evaluate every electronic system in your operation.
The cost of getting this wrong is not hypothetical. FDA issued 86 warning letters to medical device companies in fiscal year 2023, many citing software-related deficiencies in design controls (21 CFR 820.30), quality system regulation compliance, and electronic records integrity. A 483 observation for software lifecycle documentation gaps can escalate into a warning letter, consent decree, or import alert that shuts down your ability to sell product in the United States. The recall database tells the same story: software-related recalls account for a growing percentage of Class I recalls (the most serious category, where there is reasonable probability that use of the product will cause serious adverse health consequences or death). In 2023, the FDA recalled over 200 devices due to software issues. This is not a theoretical compliance exercise. It is the difference between a product that reaches patients and one that gets pulled from the market.
FreedomDev builds medical device software with these regulatory realities baked into every sprint, every code review, and every release cycle. We maintain IEC 62304 compliant software development procedures, produce the documentation artifacts your regulatory affairs team needs, and deliver validated systems that pass FDA inspection. Our development process generates the Software Requirements Specification (SRS), Software Architecture Document (SAD), Software Detailed Design Document, unit test reports, integration test reports, system test reports, and traceability matrices that map every requirement through design, implementation, and verification. We work with device companies ranging from startups filing their first 510(k) to established manufacturers like those in the Stryker and Zimmer Biomet supply chains who need validated software systems integrated into existing quality management infrastructure.
We specialize in building custom software for your industry. Tell us what you're dealing with.
IEC 62304 defines three software safety classes — Class A (no injury or damage to health possible), Class B (non-serious injury possible), and Class C (death or serious injury possible). Each class carries escalating documentation requirements. Class A requires a software development plan, requirements analysis, and verification of the software against requirements. Class B adds architectural design documentation, integration testing, and integration test verification. Class C adds detailed design documentation, unit-level verification, and additional risk analysis at every decomposition level. Most medical device software falls into Class B or Class C, meaning you need complete documentation from software requirements through architecture, detailed design, unit tests, integration tests, and system tests — with bidirectional traceability across all levels. Development teams without regulatory experience underestimate this by a factor of three to five. The documentation is not an afterthought you assemble before submission. It must be produced concurrently with development, reviewed at each phase gate, and maintained through every subsequent change.
Every open-source library, third-party SDK, and commercial off-the-shelf component in your medical device software is classified as SOUP under IEC 62304. SOUP items require documented evaluation: What is the component? What version? What is it used for? What are the known anomalies? How do those anomalies affect the safety of the device? Is the component configuration managed? A typical modern software application pulls in hundreds of dependencies through package managers — npm, pip, NuGet, Maven. Each one is a SOUP item that requires evaluation and ongoing monitoring. When a SOUP component receives a security patch or version update, you must assess whether the change affects your device's safety or performance, document the assessment, and if affected, revalidate. Companies like Abbott and Boston Scientific maintain dedicated teams for SOUP management across their device portfolios. Startups and mid-size device companies rarely have this infrastructure, which means SOUP documentation becomes the single largest gap FDA reviewers identify in software submissions.
FDA design controls (21 CFR 820.30) require a waterfall-shaped documentation structure: design input, design output, design review, design verification, design validation, design transfer. Most modern software teams work in agile sprints. Reconciling these two worlds is where many device companies fail. You cannot simply map 'user stories' to 'design inputs' and call it compliant. Design inputs must be unambiguous, verifiable, and not contradictory. Design outputs must be documented in terms that allow adequate evaluation of conformance to design input requirements. Design reviews must be planned and documented, with independent reviewers and action items tracked to closure. The solution is not abandoning agile for waterfall. It is building a development process where agile iteration happens within a design control framework — where sprint artifacts map cleanly to design history file sections, where continuous integration produces the verification evidence the DHF requires, and where traceability tools maintain the requirement-to-test linkage automatically rather than through manual spreadsheet reconciliation.
FDA's 2023 final guidance on cybersecurity in medical devices (Section 524B of the FD&C Act) requires premarket submissions for cyber devices to include a software bill of materials (SBOM), a vulnerability assessment, and a plan for monitoring, identifying, and addressing postmarket cybersecurity vulnerabilities. This is not optional guidance — it is a statutory requirement for devices that connect to the internet, contain software or firmware, or include technology that could be vulnerable to cybersecurity threats. For SaMD and connected devices, your 510(k) or PMA submission must include threat modeling documentation, a description of the device's cybersecurity architecture, and evidence that you have addressed known vulnerabilities in all software components including SOUP. Postmarket, you must have a coordinated vulnerability disclosure policy and a plan for patching and updating. Medtronic's MiniMed insulin pump vulnerability disclosure in 2019 and the broader ecosystem response demonstrated that connected device cybersecurity is an ongoing lifecycle commitment, not a one-time premarket checkbox.
Medical devices increasingly need to exchange data with electronic health records, clinical data repositories, and hospital information systems. This means HL7 FHIR, HL7 V2, DICOM for imaging devices, IEEE 11073 for point-of-care medical devices, and IHE integration profiles that define how these standards are applied in clinical workflows. Each interoperability standard carries its own conformance testing requirements and its own documentation burden. When your device sends patient data to an EHR, that data exchange must be validated end-to-end, including edge cases like network interruptions, duplicate patient records, and character encoding mismatches. Stryker's surgical navigation systems, for example, must integrate with hospital PACS systems via DICOM while maintaining the traceability chain from intraoperative imaging to surgical planning data. Building these integrations requires understanding both the technical protocol specifications and the clinical workflows they support — something generic software developers consistently get wrong because they treat clinical data integration as a standard API problem rather than a patient safety problem.
Your regulatory obligations do not end at 510(k) clearance. Post-market surveillance requires complaint handling systems that classify events according to MDR (Medical Device Reporting) criteria, track CAPA (Corrective and Preventive Action) activities to closure, and generate trend analysis reports for management review. Your CAPA system must link complaints to specific device lots, software versions, and manufacturing records — which means your complaint database, your version control system, your Device History Record (DHR), and your non-conformance tracking all need to be connected. When a field corrective action is necessary, you must be able to identify every affected unit by serial number, every customer who received affected units, and every software version running on those units. Companies like Zimmer Biomet and Stryker run enterprise CAPA systems that integrate quality events across design, manufacturing, and post-market — but these are often legacy systems built on Oracle or SAP Quality Management modules that do not handle software-specific artifacts well. The gap between what the quality system tracks and what the software team actually delivers is where post-market compliance failures originate.
We had two previous development firms attempt our Class II device software. Both delivered code that worked but could not produce the IEC 62304 documentation FDA required. FreedomDev rebuilt the system with traceability from requirements through verification in five months. Our 510(k) submission was accepted on first review with zero software-related deficiency questions.
A complete software development process aligned to IEC 62304 safety classes A, B, and C. We produce every required deliverable: Software Development Plan, Software Requirements Specification, Software Architecture Document, Software Detailed Design, unit test procedures and reports, integration test procedures and reports, system test procedures and reports, software release documentation, and the traceability matrix linking requirements through design through verification. Our process integrates with your existing Quality Management System — whether you run it in Greenlight Guru, MasterControl, Arena, or a validated SharePoint instance. For Class C software, we perform hazard analysis at the architectural level using FMEA (Failure Mode and Effects Analysis) and FTA (Fault Tree Analysis) methodologies, with each identified hazard traced to specific mitigation measures in the software design. The result is a Design History File that your regulatory affairs team can submit with confidence and your quality team can defend during FDA audit.
Learn moreElectronic records and electronic signatures systems built to meet every requirement of 21 CFR Part 11. Computer-generated, timestamped audit trails that record operator identity, date and time, previous value, new value, and reason for change on every modification to a regulated record. Electronic signatures implemented with biometric or dual-component (user ID plus password) authentication, linked to the signed record such that the signature cannot be excised, copied, or transferred to falsify another record. Authority checks that enforce role-based access — operators, supervisors, quality reviewers, and regulatory affairs each see and can modify only what their role permits. System validation following GAMP 5 (Good Automated Manufacturing Practice) methodology, including Installation Qualification, Operational Qualification, and Performance Qualification protocols. We deliver the validation documentation package — validation plan, requirements specifications, design specifications, test protocols, test results, traceability matrix, and validation summary report — that your quality auditor and FDA inspector expect to see.
Learn moreSoftware as a Medical Device occupies a unique regulatory category — it is the device itself, not software that runs on a device. The IMDRF framework classifies SaMD by the seriousness of the health condition (critical, serious, non-serious) and the significance of the information the software provides (treat or diagnose, drive clinical management, inform clinical management). This two-axis classification determines your regulatory pathway: a SaMD that drives clinical management of a serious condition faces significantly different requirements than one that informs management of a non-serious condition. FreedomDev builds SaMD applications with the clinical decision support logic, algorithm validation documentation, and clinical evidence requirements your regulatory pathway demands. We handle the unique challenges of SaMD: version control for algorithm updates that may change device classification, clinical performance testing that demonstrates analytical and clinical validity, and the real-world performance monitoring required by FDA's Digital Health Center of Excellence. Our SaMD development process produces the predetermined change control plan that allows you to make certain updates without requiring a new submission.
Learn moreMedical devices that exchange patient data with hospital systems must conform to interoperability standards — HL7 FHIR for modern health data exchange, HL7 V2 for legacy hospital interfaces, DICOM for imaging data, and IEEE 11073 for bedside medical device communication. FreedomDev builds the integration layer between your device and clinical infrastructure. We implement IHE integration profiles (Patient Demographics Query, Patient Identifier Cross-Referencing, Consistent Time) that hospitals require for new device onboarding. For devices that generate clinical data, we build the data management backend: secure storage with encryption at rest and in transit, access controls aligned to HIPAA minimum necessary requirements, and de-identification capabilities for research data sets following the Safe Harbor or Expert Determination methods specified in the HIPAA Privacy Rule. Every integration is validated end-to-end with documented test protocols covering normal operation, degraded network conditions, and error recovery — because when a patient monitor sends a critical alert to the nursing station, dropped packets are not an acceptable failure mode.
Learn moreYour Design History File (DHF) contains the design history of the finished device. Your Device History Record (DHR) contains the production record for each production unit. Your Device Master Record (DMR) defines the procedures and specifications for the finished device. These three document sets form the backbone of your quality system under 21 CFR Part 820, and they must be interconnected, version-controlled, and audit-ready at all times. FreedomDev builds quality management system software that maintains these linkages automatically. When a design change is approved through your change control process, the system updates the DMR, flags affected DHR records, triggers CAPA evaluation if the change originated from a complaint or nonconformance, and updates the traceability matrix. Complaint intake captures event details, assigns MDR reportability assessment, links to the specific device lot and software version, and initiates the CAPA workflow if investigation reveals a systemic issue. Management review dashboards surface quality trends, CAPA aging, complaint rates by product line, and audit findings — the data your management representative needs for the quarterly quality review meeting.
Learn moreImplantable devices, diagnostic instruments, and therapeutic equipment run embedded software with hard real-time constraints that cloud applications never face. An infusion pump's software must calculate and deliver the correct dose within milliseconds. A cardiac rhythm management device must detect and classify arrhythmias with deterministic timing. A ventilator must maintain tidal volume and respiratory rate within clinically specified tolerances regardless of patient-circuit interactions. FreedomDev develops embedded medical device firmware with the deterministic behavior these applications demand. We work with common medical device hardware platforms — ARM Cortex-M and Cortex-R processors, TI MSP430 for ultra-low-power implantable applications, and Renesas RX/RA families for diagnostic instruments. Our embedded development process includes static analysis with tools like Polyspace and PC-lint, dynamic analysis with instrumented test builds, and requirements-based testing with coverage metrics that satisfy IEC 62304 Class C unit verification requirements. All embedded code is developed under version control with full traceability from requirements to source code to object code to test results.
Learn more| Metric | FreedomDev | Generic SaaS |
|---|---|---|
| Regulatory Documentation | IEC 62304 deliverables produced concurrently with development — DHF-ready on release | Documentation assembled after development, gaps found during submission review |
| 21 CFR Part 11 Compliance | Audit trails, electronic signatures, authority checks built into architecture from day one | Compliance features bolted on after development, often requiring rearchitecture |
| SOUP Management | Every third-party component evaluated, version-locked, anomaly-assessed, and monitored | Package managers pull latest versions without documented risk assessment |
| Traceability | Automated bidirectional traceability: requirement to design to code to test to risk | Manual spreadsheet traceability maintained separately from development artifacts |
| Cybersecurity | Threat model, SBOM, vulnerability plan included in premarket submission package | Security testing performed but not documented to FDA submission requirements |
| Change Control | Predetermined change control plan for SaMD — defined changes without new submission | Every software update triggers regulatory reassessment from scratch |
Schedule a technical consultation with our senior architects.
Make your software work for you. Let's build a sensible solution for Medical Devices.
