risk-assessment

Conduct FMEA risk assessments for clinical trial EDC systems.

1|1|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/nroze22/TalosixSkills --skill risk-assessment-nroze22
Or copy as Structured Prompt for Agent
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Skill: risk-assessment
Source: https://github.com/nroze22/TalosixSkills/tree/main/.claude/skills/risk-assessment
Command: npx skills add https://github.com/nroze22/TalosixSkills --skill risk-assessment-nroze22

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured framework for conducting formal risk assessments of clinical trial Electronic Data Capture (EDC) systems and related infrastructure, ensuring patient safety, data integrity, and regulatory compliance.

Core Features & Use Cases

  • FMEA Methodology: Implements Failure Mode and Effects Analysis to systematically identify, score, and prioritize risks.
  • Risk Scoring & Classification: Utilizes Severity, Probability, and Detectability to calculate Risk Priority Numbers (RPNs) and classify risks (Low, Medium, High, Critical).
  • Mitigation & Acceptance: Guides the definition of preventive, detective, and corrective controls, and documents risk acceptance decisions with appropriate authority.
  • Use Case: When introducing a new data validation module in an EDC system, use this Skill to perform a comprehensive risk assessment, identify potential failure modes like incorrect edit check logic, score their impact on data integrity, and define mitigation strategies such as enhanced testing protocols.

Quick Start

Initiate a risk assessment for the patient data entry module by defining the scope and context.

Frequently Asked Questions about risk-assessment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a formal risk assessment for clinical trial EDC systems?

To conduct a clinical trial EDC system risk assessment, define the system scope, identify potential failure modes, score them by Severity, Probability, and Detectability, calculate Risk Priority Numbers (RPNs), and develop mitigation strategies to ensure GxP compliance.

What is FMEA methodology and how does it apply to clinical data integrity?

FMEA (Failure Mode and Effects Analysis) is a systematic method to identify, score, and prioritize risks. For clinical data integrity, it evaluates potential EDC system failures, calculates Risk Priority Numbers (RPNs), and classifies risks to define appropriate preventive, detective, and corrective controls.

How do I calculate Risk Priority Numbers (RPNs) for GxP compliance?

To calculate RPNs for GxP compliance, score each identified EDC system failure mode across three dimensions: Severity, Probability, and Detectability. Multiplying these three scores yields the RPN, which is then used to classify the risk as Low, Medium, High, or Critical.

Can I use this risk assessment framework for new EDC data validation modules?

Yes, you can use this framework to assess new EDC data validation modules. It guides you to identify failure modes like incorrect edit check logic, score their impact on patient safety and data integrity, and define mitigation strategies such as enhanced testing protocols.

What are the limitations of using FMEA for clinical trial system risk assessments?

FMEA for clinical trial systems is highly structured but relies on accurate subjective scoring of Severity, Probability, and Detectability. The RPN calculation requires careful definition of scope and context to ensure risk acceptance decisions align with ICH guidelines and patient safety standards.

When do I need a formal risk assessment for clinical trial data integrity?

You need a formal risk assessment when introducing or modifying clinical trial EDC systems. It ensures patient safety, data integrity, and regulatory compliance by systematically identifying potential failure modes and documenting risk acceptance decisions with appropriate authority.