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Build cloud-connected SaMD by defining its medical purpose and clinical role first, then determining which software functions fall under FDA oversight and what product-specific regulatory pathway applies. From there, develop and evaluate the software within a lifecycle quality system, account for the connected system’s security and reliability, and plan for monitoring, changes, and retirement. “Cloud-connected” describes an architecture; it does not by itself determine whether software is a medical device or what regulatory route applies.
1. Define what the software is intended to do
Start with the intended medical purpose of each software function—not the cloud platform, app name, or product category. Describe the user, patient population, care setting, inputs, outputs, and the action a clinician or patient is expected to take based on the output. Include when the software is expected to be used and what happens if its output is wrong, delayed, unavailable, or misunderstood.
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FDA’s Policy for Device Software Functions and Mobile Medical Applications says the agency intends to apply oversight to software functions that meet the medical-device definition and could pose a patient-safety risk if they do not work as intended. Functions that do not meet that definition are treated differently. A product may contain multiple functions, so assess and describe them separately where appropriate. The policy does not let a general description such as “cloud-connected SaMD” establish a particular product’s device status.
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- Purpose: What medical problem does the function address, and what is it intended to support or accomplish?
- User and setting: Who uses it, and in what care environment?
- Inputs and outputs: What data does it receive, from where, and what information does it provide?
- Clinical role: Does the output support diagnosis or treatment, drive clinical management, or inform a decision without directing it?
- Action and fallback: What should the user do with the output, and what should happen if it is unavailable or appears unreliable?
These descriptions are the starting point for regulatory analysis, risk assessment, design requirements, and evaluation. They are not a substitute for product-specific regulatory advice.
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2. Determine the regulatory route and characterize clinical risk
Whether a software function is a device, its FDA classification, and its submission route depend on its intended use and features. This guide cannot determine those for an unspecified product. Identify the functions that may fall within FDA’s device-software oversight, then assess the applicable classification and regulatory requirements for the actual product. Do not assume every health app or cloud service is a device—or that all SaMD follows the same route.
Assess consequences, not just technical complexity
Structure risk analysis around the clinical context and the consequences of incorrect, misleading, delayed, or missing output. A technically simple function can still be consequential if users rely on it in a high-stakes situation; a complex system is not automatically high risk solely because it uses sophisticated software or cloud infrastructure.
FDA’s Global Approach to Software as a Medical Device presents an IMDRF 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’s categories run from Level I, the lowest impact, through Level IV, the highest. These are framework levels, not by themselves a US legal classification or a substitute for product-specific FDA analysis.
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Use the clinical role and failure consequences to identify what evidence is needed to support analytical or technical performance and performance in the intended clinical context. The appropriate evaluation depends on the product and its claims; the cited framework does not prescribe one universal study design.
3. Establish lifecycle quality controls
SaMD development needs quality work across the product lifecycle, not just a final software test. The FDA-hosted IMDRF principles describe scalable processes applied consistently across requirements management, design, development, verification and validation, deployment, maintenance, and decommissioning. They also emphasize organizational support such as leadership, accountability, governance, and adequate resources. FDA notes that these harmonized principles are not themselves regulations.
Operationalize the lifecycle in your development process
As practical implementation guidance—not a verbatim or exhaustive legal checklist—organize the work so that decisions and evidence can be traced through the lifecycle. Depending on the product and applicable requirements, this may include:
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- Controlled requirements that connect intended use and risk controls to design and test evidence.
- Documented risk analysis and review of design decisions.
- Verification evidence showing that requirements have been implemented as specified, and validation evidence addressing whether the software meets its intended use in the relevant context.
- Defined review, approval, and release controls.
- Processes for handling complaints, monitoring performance, assessing changes, and planning end of life.
Scale the implementation to the organization and product, while meeting the requirements that actually apply. For US manufacturers, FDA states that the 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. Consult current FDA materials and applicable regulations for implementation and applicability details.
4. Design and evaluate the connected system, not only the application
Draw the system boundary around the full product experience: software running on a device, cloud services, data interfaces, update mechanisms, and relevant third-party components. Map how information moves between these parts and which components or organizations can affect the product’s outputs, availability, and security.
Make data flow and failure behavior explicit
For each important data path, identify the source, transformations, destination, and expected timing. Then consider what the user or system should do if data are missing, stale, corrupted, delayed, or inconsistent, or if a service is unavailable. These are practical design and risk-analysis questions for a connected product; the cited FDA materials do not prescribe a particular cloud provider, architecture, or hosting arrangement.
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Verify the software against controlled requirements, and validate it for its intended use and relevant users and setting. Include the connected behavior that can affect the product’s clinical role—for example, the handling of data exchanged through interfaces or the behavior users see when a service is interrupted. What testing and clinical evaluation are sufficient depends on the specific product, claims, risks, and applicable requirements.
5. Address cybersecurity as a lifecycle safety concern
FDA’s February 2026 final cybersecurity guidance addresses cybersecurity design, labeling, and recommended premarket submission documentation, including recommendations regarding cyber devices under section 524B. FDA identifies this edition as superseding the June 27, 2025 final guidance. Use the current guidance when assessing what applies to a product and its submission; do not assume that every recommendation applies identically to every software function.
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For cloud-connected software, include the relevant interfaces, dependencies, and update mechanisms in the system boundary and risk work. The precise controls depend on the product and its context. The cited materials do not establish that a specific cloud architecture or provider is required.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.6. Find the guidance that matches your product
Use FDA’s Medical Device Software Guidance Navigator as a starting map for potentially relevant materials. Its topics include software submission documentation, validation, off-the-shelf software, cybersecurity, AI-enabled functions, and interoperability. FDA says the navigator is not comprehensive, and which resources apply depends on the device’s features.
Build a product-specific list of relevant regulations and guidance rather than treating the navigator as a complete checklist. Do not infer from the existence of a software guidance page that every SaMD needs the same submission type, documentation, or test package.
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7. Plan post-release operation, changes, and retirement
Before release, decide how the organization will monitor product performance, investigate complaints, assess proposed software changes, address cybersecurity vulnerabilities, communicate updates, and eventually decommission the product. These activities extend the quality and risk-management work beyond initial development. FDA’s QMSR materials refer to complaint investigations and surveillance of device performance, while its cybersecurity resources describe postmarket vulnerability management across the product lifecycle.
Assess changes in the context of the product’s intended use, design, risks, and applicable requirements. A generic guide cannot determine whether a particular change triggers a submission or other regulatory obligation; those obligations depend on the product and the change. Plan end of life as well as launch, including how users and relevant stakeholders will be informed when a service or function is withdrawn.
A practical order of work
- Document purpose and users: Define each function’s medical purpose, user, population, setting, inputs, outputs, and expected action.
- Analyze regulatory status: Determine which functions may meet the device definition, then identify the applicable classification and route for the specific product.
- Assess clinical consequences: Analyze the effects of incorrect, delayed, misleading, or unavailable output and identify evidence needs for the intended context.
- Set up lifecycle controls: Establish scalable, traceable processes for requirements, design, development, verification, validation, deployment, maintenance, and retirement, in line with applicable requirements.
- Map the connected system: Document services, interfaces, data flows, updates, dependencies, and relevant third-party components, including failure behavior.
- Evaluate security and relevant guidance: Review the current FDA cybersecurity guidance and other product-relevant materials, using the Guidance Navigator as an index rather than a complete inventory.
- Prepare for operation: Define release, performance monitoring, complaint handling, vulnerability response, change assessment, communications, and decommissioning processes.
This sequence is a practical synthesis of FDA and IMDRF materials, not a single FDA-mandated recipe. The source materials discussed here are US-focused and do not establish requirements for the EU, UK, or other jurisdictions.
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