Why device makers are re-evaluating compliance software in 2026

Medical device quality management changed on February 2, 2026, when FDA’s Quality Management System Regulation (QMSR) took effect and incorporated ISO 13485:2016 (FDA). Many tools were configured years ago around old QSR section numbers. At the same time, FDA can now review internal audit, management review and supplier audit reports during inspections (FDA QMSR FAQ), which puts more weight on what those systems contain.

Data quality is the other driver. In Veeva’s 2025 MedTech benchmark, a vendor-run survey, 56% of companies said they plan to adopt regulatory information management (RIM), but only 17% rated their regulatory data quality as excellent (Veeva). AI is arriving in the same workflows: in a November 2024 RegASK report, also vendor-run, “39% of regulatory affairs respondents are using AI,” and of those allowed to use ChatGPT for compliance guidance, “only 22% fully trusted the responses” (RegASK via Business Wire).

The main categories of medical device compliance software

“Compliance software” covers several kinds of tools. Most companies need more than one, and the boundaries between them are blurring.

CategoryWhat it doesTypical usersKey compliance link
eQMS (electronic quality management system)Document control, training, CAPA, complaints, nonconformances, audits, change control, supplier managementQA, operationsISO 13485 / QMSR processes and records
PLM (product lifecycle management)Design data, bill of materials, engineering changeR&D, engineeringDesign and development file, change control
RIM (regulatory information management)Registrations, submissions, product-market data, correspondenceRegulatory affairsSubmissions, registrations, EUDAMED, UDI
ALM / requirements managementRequirements, risk and test traceability, especially for softwareSoftware and systems engineeringDesign controls, IEC 62304, traceability
MES / eDHRProduction execution and electronic device history recordsManufacturingProduction records, labeling
Postmarket and vigilance toolsComplaint intake, MDR/vigilance reporting, trendingPostmarket, QAPart 803, Part 806, EU vigilance
AI document assessmentChecks documents and records against regulations, standards and procedures, citing evidenceQA, RA, auditorsGap assessments, audit and submission readiness

What QMSR expects from the software itself

Compliance software is part of your quality system, so it must meet quality system requirements too.

  • Validation. ISO 13485 clause 4.1.6 requires validation of software used in the QMS, proportionate to risk. FDA’s Computer Software Assurance guidance, updated February 3, 2026, explains how to do that with a risk-based approach and explicitly covers automation, data analytics and AI/ML tools (FDA).
  • Record control. Records must stay legible, identifiable and retrievable, and §820.35 adds FDA-specific content for complaint and servicing records (eCFR Part 820).
  • Electronic records and signatures. 21 CFR Part 11 still applies to electronic records required by FDA.
  • Inspection access. FDA’s inspection program, CP 7382.850, looks at six QMS areas (FDA). If your system cannot quickly produce evidence for each area, it slows every inspection.

How to evaluate medical device quality management software

CriterionQuestions to ask vendorsWhy it matters
QMSR and ISO 13485 alignmentAre templates, workflows and reports mapped to ISO 13485:2016 clauses and Part 820, not legacy QSR sections?Avoids carrying outdated references into inspections
Inspection readinessCan you pull evidence by FDA’s six QMS areas in minutes?CP 7382.850 structures inspections that way
Risk integrationDoes risk management link to design, complaints, CAPA and change control?QMSR expects risk-based decisions across processes
Validation packageWhat validation evidence does the vendor provide, and how does it support a CSA approach?Reduces your assurance effort (FDA CSA)
Part 11 controlsAudit trails, e-signatures, access control, time stampsRequired for FDA electronic records
IntegrationAPIs to PLM, ERP, MES, RIM and EUDAMED/GUDID workflowsDuplicate data entry is a data integrity risk
ScalabilityDoes pricing and configuration fit a small company?Over 80% of device firms have fewer than 50 employees (AdvaMed)
Change managementHow are releases communicated, tested and validated?Every vendor update is a change to your QMS software

AI features: what to ask before you buy

Most compliance software vendors now offer AI features: drafting, summarization, classification of complaints, or gap assessment. These can save time, but they create new validation and oversight questions.

  • Is every output traceable to a source? An AI finding without a cited passage cannot be checked, and an unchecked finding is not evidence.
  • Who decides? AI should recommend; a named person should approve. Record the reviewer and the reason for overrides.
  • How was it tested? Ask for accuracy data on documents like yours, including cases where the right answer is “no evidence found.”
  • How will you validate it? CSA’s risk framework covers AI/ML tools used in production or the QMS (FDA), so determine the process risk of each AI feature and assure it accordingly.
  • Where does your data go? Confirm data residency, retention and whether your documents train shared models.

Build the stack around evidence

A practical stack for a small to mid-sized device company often looks like this: an eQMS as the system of record for quality processes, a PLM or ALM tool for design and traceability, a lightweight RIM approach for registrations, and an AI document assessment layer that checks procedures, records and submissions against requirements before auditors or reviewers do. The order of adoption should follow your biggest inspection or submission risk, not vendor feature lists.

Medical device compliance software checklist

  • Current pain points mapped to FDA’s six QMS areas and EU MDR obligations
  • Software categories needed identified (eQMS, PLM/ALM, RIM, MES, postmarket, AI assessment)
  • Requirements written for QMSR, ISO 13485, Part 11 and EU MDR record needs
  • Vendor validation evidence reviewed; CSA-based assurance plan written
  • AI features assessed for traceability, human oversight and data handling
  • Integration and data migration plan, including legacy QSR-era records
  • Vendor qualified under purchasing controls with a quality agreement
  • Release and change process agreed with the vendor
  • Success metrics defined: inspection retrieval time, CAPA cycle time, audit findings

Add evidence-based assessment to your stack

AskDona assesses regulatory documents against requirements such as ISO 13485, QMSR and the EU MDR, and cites the passage behind every finding, so your team can check each result and make the call. It works alongside your eQMS rather than replacing it.

Run a sample regulatory document assessment on one SOP or technical file and compare it with your own review.

FAQ

What is medical device compliance software? Software that helps manufacturers meet regulatory requirements, including eQMS, PLM, RIM, postmarket tools and AI document assessment.

Does compliance software need to be validated? Yes. Software used in the QMS must be validated proportionate to risk under ISO 13485 clause 4.1.6, and FDA’s CSA guidance describes a risk-based approach (FDA).

Is an eQMS required by FDA? No. FDA requires a compliant quality system, not a particular tool, but electronic systems must meet Part 11 where applicable.

Can AI replace quality reviewers? No. AI can find and cite evidence faster, but people must make and document quality decisions.

References

All pages opened and checked by October 13, 2026.

SourceTypeDateUsed for
FDA: QS Regulation / QMSRRegulator2026QMSR
FDA: QMSR FAQRegulator2026Records open to FDA
FDA: CSA guidance (PDF)Regulator guidanceFeb 3, 2026Software assurance, AI tools
FDA: CP 7382.850RegulatorFeb 2, 2026Six QMS areas
eCFR: 21 CFR Part 820RegulationCurrent§820.35
Veeva: MedTech benchmarkVendor survey2025RIM plans, data quality
RegASK report via Business WireVendor surveyNov 14, 2024AI use, trust
AdvaMed: Job creationTrade association2021 dataFirm size