Build cloud-connected software as a medical device by defining its intended medical purpose first, then assessing FDA oversight and product-specific risk, establishing lifecycle quality controls, validating performance in the intended clinical context, and maintaining security and reliability after release. “Cloud-connected” describes an architecture; it does not by itself determine whether software is a medical device, its FDA classification, or the regulatory pathway. Those questions depend on the product’s functions, intended use, users, and clinical role.
This guide focuses on the United States. FDA’s software policy says it intends to oversee device software functions that meet the medical-device definition and could pose a patient-safety risk if they fail to work as intended. Not every health app or cloud service meets that definition.
1. Define what the software is intended to do
Before choosing a cloud architecture or planning a submission, describe the product’s intended medical purpose and the role each software function plays. A product may contain multiple functions; assess them separately rather than assuming the whole product receives one blanket regulatory answer.
Write down the product boundary
For each function, document:
- Purpose: the medical purpose the function is intended to serve.
- Users and patients: who operates or relies on it, and the patient population it is intended to support.
- Care setting: where it is used, such as a clinical workflow or another specified setting.
- Inputs and outputs: what data the function receives, processes, stores, or displays, and what output it produces.
- Clinical role: whether the output is intended to support diagnosis or treatment, drive clinical management, or inform it—and what a clinician or patient is expected to do in response.
Use these details to assess whether each function falls within FDA’s device-software oversight policy. Where a product includes functions that do not meet the device definition, keep their scope distinct in the product description and supporting documentation. A product title or cloud deployment model cannot settle device status on its own.
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2. Assess clinical risk and evidence needs
Risk is shaped by the clinical situation and the consequence of an incorrect, delayed, unavailable, or misleading output—not simply by how much code the product contains. Analyze how the output could affect a decision and what may happen if the function fails or the cloud connection is interrupted.
Use a framework without mistaking it for a US classification
FDA presents an IMDRF SaMD risk-categorization framework as a possible way to consider two dimensions: the healthcare situation or condition, and the significance of the information to diagnosis, treatment, or clinical management. The framework has four impact levels, from Level I (lowest) to Level IV (highest). These are framework categories, not, by themselves, FDA device classifications or a substitute for product-specific regulatory analysis.
Plan evidence around the intended use
Identify what evidence will demonstrate the software’s technical or analytical performance and its clinical performance in the intended context. The evidence required depends on the function and claims; there is no universal study design established for all SaMD. Record the assumptions behind the evaluation, including the intended users, data, setting, and clinical role, so that validation addresses the product people will actually use.
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3. Establish lifecycle quality controls
SaMD quality principles span organizational support and processes from requirements management through design, development, verification and validation, deployment, maintenance, and decommissioning. They are intended to scale to an organization’s size and apply consistently across product realization and use. FDA’s page presenting these harmonized principles says they are not regulations; applicable US quality-system requirements are separate.
Turn the lifecycle into traceable work
As practical implementation, connect product requirements to risk analysis, design decisions, verification and validation evidence, approvals, and release records. Establish controlled review points and a way to assess proposed changes, complaints, and observed performance. Plan for deployment, ongoing maintenance, and eventual retirement. The exact records and procedures should fit the product and applicable requirements; this list is operational guidance, not an exhaustive legal checklist.
Account for the current US QMS context
FDA states that its Quality Management System Regulation (QMSR) became effective on February 2, 2026, amends 21 CFR Part 820, and incorporates ISO 13485:2016 by reference. FDA also says its inspection process changed on that date. Manufacturers should consult the current regulation and FDA materials to determine applicability and implementation details rather than relying on an older description of Part 820.
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4. Design the cloud-connected system for safety, security, and reliability
Map the system boundary rather than treating “the cloud” as a single component. Include the device software, cloud services, interfaces, data flows, update mechanisms, and relevant third-party software or services. For each dependency, understand what data it handles, what happens when it is unavailable or compromised, and how that failure could affect the software’s clinical function.
Work through connected-system failure cases
As engineering analysis, consider how the product behaves when data are late, incomplete, duplicated, corrupted, or unavailable; when a service or interface changes; or when an update is interrupted. Define expected behavior in the intended care context and verify it. Depending on the product, useful controls may include clear status or error information, controlled recovery, and a safe response to loss of connectivity. The appropriate design depends on the clinical role; no single cloud architecture or provider is established as suitable for every SaMD.
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Treat cybersecurity as a lifecycle responsibility
FDA’s February 2026 final guidance addresses cybersecurity design, labeling, and recommended premarket submission documentation, including recommendations relating to cyber devices under section 524B. FDA says this guidance superseded the June 27, 2025 edition. Use the current guidance to assess applicability to the product and submission; do not assume every recommendation applies identically to every software function.
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Cybersecurity work continues after release. Plan how the organization will assess vulnerabilities, maintain software, communicate relevant updates, and coordinate with the parties involved in deployment. FDA describes connected-device cybersecurity as a shared concern involving manufacturers, healthcare organizations and facilities, providers, patients, researchers, and government partners—not solely a cloud vendor’s or clinician’s responsibility.
Account for third-party components and interfaces
Identify third-party software and services that are relevant to the product’s operation, as well as the interfaces through which data enter or leave the system. Keep the dependencies and their roles visible in the product’s risk and change assessment. A service’s general availability or security claims alone do not establish that it is suitable for a particular regulated use; that depends on the product’s use, system design, and evidence.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.5. Find the guidance and regulatory route that fit the product
There is no single FDA submission type or testing package for every cloud-connected SaMD. First assess device status and the product’s specific classification and regulatory context; then identify the applicable route and supporting evidence for that product. The general information here cannot determine an individual product’s route without details about its intended use, functions, and deployment.
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FDA’s Medical Device Software Guidance Navigator is a starting map for locating potentially relevant resources. Its topics include software submission documentation, validation, off-the-shelf software, cybersecurity, AI-enabled functions, and interoperability. FDA cautions that the index is not comprehensive and that applicability depends on device features, so use it to find relevant materials rather than as a complete checklist.
6. Plan release, monitoring, changes, and retirement
Before release, define how the organization will monitor software performance, investigate complaints, assess changes, address cybersecurity vulnerabilities, and communicate updates. Connect post-release findings to the quality system so they can inform risk assessment and future decisions. FDA’s QMSR materials refer to complaint investigations and surveillance of device performance; its cybersecurity materials describe postmarket vulnerability management across the product lifecycle.
Assess a proposed software, data, interface, or service change against the product’s intended use, risks, validation evidence, and applicable requirements. The precise change-control and reporting obligations depend on the product and its regulatory context; a general guide cannot determine them for every SaMD. Include decommissioning in lifecycle planning so that retirement of the software or a connected service is considered rather than left to an unplanned outage.
Quick Recap
What to settle before committing to an architecture
- The intended purpose, users, patient population, setting, inputs, outputs, and clinical role of each function.
- Whether each function meets the device-software definition and the product-specific classification and regulatory route.
- The clinical consequences of incorrect, delayed, missing, or unavailable output, and the evidence needed for the intended use.
- The system boundary, data flows, interfaces, cloud dependencies, third-party components, update mechanisms, and relevant failure cases.
- The quality-system processes for requirements, design, verification, validation, release, complaint handling, change assessment, maintenance, and decommissioning.
- The cybersecurity and operational responsibilities that continue after release, including coordination among relevant deployment stakeholders.
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