r4subrisk: Risk Quantification Engine for Clinical Submission Readiness

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Authors: Pawan Rama Mali
Cited by: 0

Abstract

Quantifies submission risk using a Failure Modes and Effects Analysis (FMEA)-inspired framework (probability, impact, detectability). Builds risk registers from evidence, computes Risk Priority Numbers (RPN), classifies risk levels, and emits standardized R4SUB (R for Regulatory Submission) evidence table rows via 'r4subcore'. Supports risk mitigation tracking and trend analysis across submission milestones.

Fields of Study & Subjects

Risk and Safety Analysis Safety Systems Engineering in Autonomy Healthcare Regulation

Publication details

Publication date
3 March 2026
Language
EN
Document type
Dataset