For software as a medical device (SaMD), an eQMS is typically centered on quality processes and records, while product lifecycle management (PLM) is typically centered on product definition, engineering changes, configuration, and traceability. Those are useful starting points, not exclusive boundaries: some platforms cover both. Choose by mapping the workflows and evidence your organization must control, then decide where each authoritative record will live—not by assuming an acronym makes a product compliant.
What changed under the FDA’s current quality-system rules?
In the United States, the FDA’s Quality Management System Regulation (QMSR) became effective on February 2, 2026. It amends device current good manufacturing practice requirements in 21 CFR Part 820 and incorporates ISO 13485:2016 by reference. The FDA says the regulation applies to finished-device manufacturers intending to commercially distribute medical devices. The rule governs applicable manufacturers and their quality systems; it does not prescribe eQMS or PLM as a required software category.
The FDA also says investigators use the updated inspection process and no longer use the former QSIT inspection documents after the QMSR effective date. Under the QMSR, investigators may review quality-system records created before that date, and management-review, quality-audit, and supplier-audit reports are available for inspection. That makes controlled records, access, retention, and retrieval practical selection criteria—not just administrative details.
Where eQMS and PLM usually differ
The categories describe different centers of gravity, but a particular product’s actual capabilities depend on its configuration and the workflows it supports. Assess functions rather than relying on the product label.
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| Area | eQMS emphasis | PLM emphasis | What to verify for SaMD |
|---|---|---|---|
| Quality processes | Controlled procedures and documents, training, audits, nonconformances, CAPA, and quality records | May include quality workflows connected to product records | Can the selected system support your procedures, approvals, records, and required retrieval? |
| Requirements and design traceability | May link quality procedures and evidence to engineering records | Often organizes requirements, design artifacts, tests, and product configurations | Can you trace requirements through design and verification/validation evidence, with versions preserved? |
| Change and configuration | Quality change control and impact review | Product baselines, configuration, dependencies, and engineering change impact | Can a change be linked to the affected product version and its supporting evidence? |
| Risk and verification evidence | Quality risk, CAPA, audit trails, and links to records | May connect risk, requirements, design, and test records | Are the links complete and reviewable, and are responsibilities for approval clear? |
| Record ownership and retrieval | May be authoritative for controlled quality records | May be authoritative for product and engineering records | Can users retrieve a coherent record set without duplicate records or ambiguous approval status? |
| Software assurance | Assurance may be relevant if the system is used in a production or quality-system process | The same consideration applies when PLM automates such a process or holds regulated records | Assess intended use, risk, configuration, and validation evidence for the software’s actual use. |
These columns are not a claim that every eQMS or PLM includes every listed capability. For example, Siemens describes medical-device PLM features that include change control and CAPA, while PTC describes PLM quality functions such as document control and audits. Product pages describe vendor offerings; they do not independently establish that a particular configured system meets a manufacturer’s needs.
Why SaMD traceability reaches beyond either system label
The FDA’s SaMD materials describe lifecycle support processes that include requirements management, design, development, verification and validation, deployment, maintenance, and decommissioning. They also state that good software quality and engineering practices need to be incorporated into a device’s quality management system. In practical terms, the evidence for a software change may span engineering artifacts and quality records, so the organization needs reliable links across whichever tools it uses.
The FDA recognizes IEC 62304 for medical-device software lifecycle processes. The FDA’s scope description says the standard applies to development and maintenance when software is itself a medical device or is embedded in or integral to a finished device. It does not cover validation and final release of the device. Treat IEC 62304 as a lifecycle-process reference, not a substitute for the manufacturer’s device validation and release controls.
The FDA’s February 2026 computer software assurance guidance addresses software used as part of medical-device production or the quality management system. It recommends a risk-based approach to establishing confidence in that automation and superseded the September 24, 2025 final guidance. For a tool used in a production or QMS process, evaluate assurance in light of its intended use and risk; do not assume that choosing a product marketed as eQMS or PLM resolves that work.
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How to decide whether to use one platform or both
There is no universal answer without knowing your markets, current engineering and quality stack, integrations, migration needs, intended uses, supplier controls, and validation plan. A practical evaluation is to follow a real change through your process and make system ownership explicit at every handoff.
- Map the evidence path. Choose a representative change and trace it from user need or requirement through design, risk assessment, verification and validation, release approval, post-release maintenance, and any corrective action.
- Name the system of record at each step. Identify where the approved requirement, design baseline, test evidence, quality approval, and resulting product configuration are authoritative. Do not leave two systems appearing to own the same approval.
- Check the handoffs. Confirm how identifiers, versions, approvals, and change impacts move between systems. Look for manual re-entry, broken links, duplicate records, and unclear responsibility for updates.
- Test record retrieval. Ask the team to produce a complete, understandable record set for the representative change, including relevant quality and product history. Check access controls, audit trails, retention, and export against your procedures and inspection needs.
- Compare workflow coverage and operating fit. Evaluate the capabilities, integrations, migration work, and validation approach for the configuration you would actually deploy. A single platform may suffice if it covers the needed processes and evidence flows; otherwise, two connected systems may be more appropriate.
Vendor examples to investigate—not endorsements
- Siemens: Describes medical-device PLM capabilities including design-data management, product-line variation, requirements-to-verification/validation mapping, change control, CAPA, and design-history/manufacturing-record traceability. Confirm which features are included and how they would be configured for your workflows.
- MasterControl: Describes an eQMS offering for medical-device quality management. In a demonstration, verify the required processes and records, training, audit trails, migration, and integrations against your procedures.
- PTC: Describes PLM quality capabilities including change and configuration management, requirements and test management, CAPA, nonconformance, audits, document control, and risk analysis. Independently validate the scope and configuration you would use.
These are vendor-described examples, not comparative test results or proof of implementation outcomes. The cited FDA materials and vendor pages do not establish that FDA certifies or endorses these products, or that a particular product configuration satisfies a specific manufacturer’s quality system.
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