Surgical Robotics Manufacturing calculator
Compliance Documentation Calculator
Compliance documentation risk is an FMEA-style priority score for gaps in the records that keep a surgical robotics program audit-ready: Device History Records, design history files, validation protocols, and traceability logs. Quality and regulatory engineers use it to rank which documentation weaknesses to fix first, since an FDA or notified-body finding on records can halt shipments as surely as a hardware defect. By multiplying severity, occurrence, and detection, the score surfaces the gaps that are both damaging and easy to miss. It converts a vague sense of audit exposure into a comparable, rankable number.
What this calculator does
- Estimate compliance documentation for surgical robotics manufacturing using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
- Use it when compliance documentation in surgical robotics manufacturing needs a defensible ranking against other surgical robotics manufacturing risks for the next review.
- It computes a risk priority number by multiplying the severity, occurrence, and detection scores for a specific compliance-documentation failure mode.
Formula used
- Compliance documentation risk score = compliance documentation severity score × compliance documentation occurrence score × compliance documentation detection score
- Use the same scoring scale across comparable compliance documentation risks.
Inputs explained
- Documentation-gap severity (patient-safety and audit impact):
- Documentation-gap occurrence (how often records are incomplete):
- Documentation-gap detection (how likely QA catches it before release):
How to use the result
- Use it during internal audit prep, CAPA prioritization, or design-transfer reviews to decide which documentation gaps get resources first.
- Multiplying three ordinal 1-10 scores produces gaps and ties in the scale, so a raw RPN should guide, not replace, engineering judgment about a specific record.
Current U.S. benchmarks
- U.S. manufacturing runs at 75.6% of capacity with new factory orders at $657B per month (Federal Reserve and Census, May 2026).
- Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.
- The U.S. has 8,825 medical equipment and supplies establishments employing about 308,388 workers (Census County Business Patterns, 2023).
Common questions
- How do you calculate a compliance documentation risk score? Multiply the severity, occurrence, and detection ratings together. Using the calculator's weighting on severity 6, occurrence 4, and detection 3 yields a normalized risk score of about 4.55.
- What is a good compliance documentation risk score? Lower is better. There is no fixed threshold, but teams typically set an action line (for example, anything above a chosen cutoff triggers mandatory CAPA) and apply it consistently across all documentation risks.
- What counts as severity in documentation risk? Severity reflects how badly an incomplete or wrong record hurts you: a missing sterilization-validation record affecting patient safety scores high, while a typo in a non-critical memo scores low.
- Severity vs detection: which matters more? Neither dominates by design; they multiply. A high-severity gap that QA reliably catches (low detection score) can rank below a moderate gap that routinely slips through, which is exactly why all three factors are scored.
- How do I lower a documentation risk score? You cannot easily change severity, so drive down occurrence (better templates, controlled forms, training) and detection risk (independent record review, e-signature gates). Both directly shrink the product.
Last reviewed 2026-05-12.