r4subrisk: Risk Quantification Engine for Clinical Submission Readiness
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