eLeaP adds ISO 14971 risk management tied to training

eLeaP said its QMS now includes an ISO 14971-aligned risk management module for medical device and life sciences teams, with automated training assignment linked to new mitigations. The update is meant to help regulated manufacturers prove risks were controlled and the right employees were trained.

Why it matters: - Medical device and life sciences teams often manage risk in spreadsheets or separate registers that do not connect to training records. - That gap can make it harder to prove that a mitigation was implemented and that the responsible employees were trained. - eLeaP’s update aims to close that gap inside one QMS, which matters for audit readiness and regulated manufacturing compliance.

What happened: - eLeaP announced enhanced risk management capabilities in its eLeaP QMS platform on September 14, 2026. - The module is designed to support organizations working under ISO 14971, ICH Q9(R1), and FMEA methodologies. - The risk management functionality is already live in eLeaP’s Risk Management module and is now formally positioned as a dedicated capability for regulated manufacturers. - The module is available now to medical device, pharmaceutical, and biotechnology organizations. - Organizations can request a free demo.

The details: - ISO 14971 requires risk management across the full product lifecycle, from hazard identification through post-market surveillance. - Clause 7 requires risk controls to follow a priority order: inherent safety by design, protective measures, then safety information. - Clause 7 also requires verification that each control was implemented and effective before a risk is treated as controlled. - Clause 10, retitled “Production and Post-Production Activities” in the 2019 revision, requires an active system for collecting and reviewing safety information after market launch. - FDA QMSR inspection data from the first quarter of activity showed management oversight and risk management integration accounted for nearly 30% of citations. - CAPA deficiencies remain the most frequently cited issue in medical device warning letters overall, appearing in more than 60% of them. - ICH Q9(R1), adopted by regulators including FDA and EMA, sharpened risk management expectations in 2023 by reducing subjectivity, addressing product availability risks, clarifying formality, improving risk-based decision-making, and strengthening hazard identification. - eLeaP’s Risk Management module supports customizable probability and severity matrices, generates risk priority numbers, and maintains living risk registers with real-time residual risk tracking. - When a new control measure or mitigation is identified, eLeaP automatically assigns targeted training to the affected personnel. - The module also supports Paths to Harm visualization, linking hazards, hazardous situations, and harm in a risk chain. - The Risk Management module is native to eLeaP QMS and works with Design & Development, Change Control, and CAPA in the same platform. - The connected setup gives quality teams a single system of record for risk data without manual re-entry between tools.

Between the lines: - The product pitch is less about adding another risk register and more about making risk controls auditable end to end. - The timing fits a compliance environment where inspectors are paying close attention to risk management integration and evidence of training. - By tying mitigation directly to training assignments, eLeaP is targeting a common failure point in regulated quality systems: documented intent without documented execution.

What's next: - eLeaP is directing interested organizations to request a demo of the ISO 14971-aligned module. - The company is positioning the update for broader use across medical device, pharmaceutical, and biotechnology quality programs. - The platform’s value proposition now centers on linking risk, quality events, and training in one system for ongoing audit readiness.

The bottom line: - eLeaP is betting that regulated manufacturers will want risk management software that proves not just what was identified, but who was trained to control it.