Decision Systems for Medical Device & Pharmaceutical Quality

Be paranoid about quality. Be precise about action.

Most teams document decisions. Very few control them.

ParanoiaIQ is the decision layer your QMS is missing, a system that ensures decisions are made early, consistently, and defensibly, before they become regulatory events.

"Most organizations don't miss risk because they lack data. They miss it because no system forces the right decision at the right time."

A Safe Outcomes LLC product

Your quality system was built for the last inspection, not the next failure.

For device companies: the risk file hasn't kept up with how the product is actually used, manufactured, and failing in the field. For pharmaceutical manufacturers: the deviation system, the CAPA, and the batch record review are all reactive by design.

Signals exist in complaints, deviations, and supplier issues, but they are fragmented, inconsistently evaluated, and often escalated too late. By the time the pattern is clear, the decision is no longer optional. It is already visible to FDA.

Most companies discover their decision gaps during an inspection or a recall. By then, it is too late to fix the system.

The cost is not just recall. It is delayed detection, expanded scope, and loss of control once regulators are involved.

65%
of Class I recalls are design failures
30 mo
median time from distribution to recall
66%
of recalled devices had a prior recall

Source: Mooghali M et al., "Characterization of FDA Class I Recalls," Medical Devices: Evidence and Research, 2023. PMID 37229515. n=189 Class I recalls, 2018–2022.

Representative of industry trends. Not product-specific risk.

These are not failures of detection. They are failures of decision timing.

This is what your team looks like right now. And after.

Without ParanoiaIQ

  • CAPAs expand, stall, and get debated
  • Escalation decisions vary by reviewer
  • Documentation happens after the fact
  • FDA sees the inconsistency before you do
  • Risk files go stale between audits

ParanoiaIQ

  • Every event follows the same decision logic
  • Escalation is consistent and traceable
  • Outputs are structured before human review
  • You control the narrative before FDA does
  • Risk files update on trigger, not on audit

The decision layer your QMS is missing.

Your QMS records decisions. It does not control them.
ParanoiaIQ does.

Every complaint, deviation, or field signal is automatically checked against known risks, evaluated for escalation, and routed through a consistent decision path, before formal human review. The human approves. The system ensures it's defensible.
  • Checked against known risks and prior decisions
  • Evaluated for escalation using consistent logic
  • Routed through predefined, auditable decision criteria
  • Documented in audit-ready language
  • Human approval gate, the regulatory anchor

ParanoiaIQ reduces regulatory risk by enforcing consistent, auditable decision-making before issues escalate.

This is not about better documentation. It is about controlling outcomes before they escalate.

Every recall traces back to one of three failures.

Safe Design + Safe Use + Safe Make = Safe Outcomes

A single undifferentiated FMEA often misses the problem. Three targeted analyses catch each failure pathway.

Safe Design
65.1% of Class I recalls
Geometry, materials, software algorithm: risks built into the device from the start. The DFMEA must be a living document, not a submission artifact.
Safe Use
Most undercounted category
Foreseeable misuse, critical task failure, caregiver error. IEC 62366 usability engineering is required, and rarely done at depth.
Safe Make
28.5% of Class I recalls
Manufacturing, processing, packaging, labeling. The PFMEA that tracks process drift and supplier controls, before FDA sees a trend in MDRs.
Post-market surveillance confirms Safe Outcomes, or triggers the update. The loop closes here, not at the recall.

Every quality event runs the same path.

STEP 01
Known Risk Filter
Already in the FMEA?
80% exit here
STEP 02
Escalation Gate
Does this escalate?
~15% exit here
STEP 03
HHE Engine
P × S = Risk level
STEP 04
Field Action Engine
Recall class?
STEP 05
Human Gate ✓
AI drafts. Human signs.

Decision criteria are configurable to your product, risk tolerance, and regulatory strategy.

Built to FDA's AI Standard

In April 2026, FDA issued its first Warning Letter citing AI overreliance in manufacturing — requiring that AI outputs be "reviewed and cleared by an authorized human representative." ParanoiaIQ satisfies this requirement by design. The Human Gate is not optional. Every recommendation is documented, timestamped, and signed off before any action is taken.

Ref: FDA Warning Letter 320-26-58, Purolea Cosmetics Lab, April 2, 2026 · 21 CFR 211.22(c)

CAPA is the heartbeat of your quality system. Most organizations treat it like paperwork.

A CAPA is how FDA measures whether you take problems seriously. It is triggered by complaints, deviations, design failures, field actions, and 483 observations. It is the mechanism that connects a quality event to a root cause to a permanent fix.

When CAPAs fail, it is not because the solution was wrong. It is because the problem was never precisely defined.

Problem in Focus — Core Methodology

"The problem must be precisely, specifically, and completely defined before any corrective action is scoped. A vague problem statement produces a vague CAPA that fails FDA scrutiny."

01 — Precision Definition

Problem statements are scored before RCA begins. Vague problems — wrong object, wrong defect, no data anchor — are flagged and returned. You cannot close what you cannot define.

02 — Right-Sized Routing

Not every deviation needs a full CAPA. ParanoiaIQ routes events by risk level — Fast-Track correction for known, low-risk issues; full CAPA for systemic failures. No backlog. No overload.

03 — Effectiveness by Design

Effectiveness criteria are defined at CAPA opening, not at closure. Auditors expect criteria established before the fix, not retrofitted after. Reviewers walk out with the standard already documented.

The scenario below shows the full ecosystem — one quality event, both engines running simultaneously, closing through a single Human Gate.

One complaint. Two engines. One documented decision.

Based on a real Class I recall. Medline Industries, March 2026. Namic angiographic rotating adaptor syringe. Four serious injuries before recall initiation.

The Event

No system replacement. This runs on top of your existing QMS.

A field complaint arrives: a rotating adaptor on a contrast media delivery syringe loosened during an interventional cardiology procedure. The scrub tech caught it before full disconnection. No patient harm this time. The complaint is logged in the eQMS.

1
Known Risk Filter

ParanoiaIQ cross-references the complaint against the device risk file. Adaptor loosening under torsional load is documented in the FMEA. Residual risk is rated Acceptable. No patient harm on this event. But the complaint rate has reached 2 in 90 days across 4,200 distributed units. The FMEA probability rating is Rare -- fewer than 1 in 10,000 units. The field rate does not match.

Rate exceeds documented parameters. Known Risk Filter flags for escalation.

2
Escalation Gate

Does this failure affect the device's function? The syringe delivers contrast media during cardiac catheterization under high injection pressure. A loose connection under load creates potential for line disconnection mid-procedure.

Function affected. Escalates to HHE Engine.

3
HHE Engine

Probability: Occasional -- the complaint rate now exceeds the FMEA documented threshold. Severity: Catastrophic -- air embolism or blood loss during an interventional cardiac procedure in a high-acuity population with no immediate alternative device. The Probability Override Rule applies: life-sustaining device context plus a clear pathway to serious injury or death.

Risk level: High. Class I determination.

4
Field Action Engine

Life-sustaining device confirmed. All distributed units carry the potential failure mode. The failure pathway reaches serious injury or death. A market withdrawal or correction is insufficient -- the risk profile requires a full recall.

Recommendation: Urgent voluntary recall. Scope: all affected lot numbers.

5
Human Gate

ParanoiaIQ drafts the HHE assessment, MDR determination, and field action recommendation with full rationale and regulatory citations. The quality professional reviews the output, confirms the scope, and approves. The decision is documented, timestamped, and audit-ready before the next morning.

Time from complaint to decision: 4 hours. Fully documented. Defensible.

6
CAPA Engine — Problem in Focus

The field action addresses the device in the field. Simultaneously, the CAPA engine opens — same event, same data, different question. Not what to do with the product. What caused this, and how do we prevent it from happening again.

Problem in Focus is applied before any investigation begins. The problem is scoped precisely: rotating adaptor connection loosening under torsional load during high-pressure injection in cardiac catheterization procedures, at a field complaint rate exceeding the documented FMEA probability threshold across affected lot numbers. Not "syringe failure." Not "loose adaptor." The specific object, the specific defect, the specific conditions, anchored to real data.

Root cause scope is set. Investigation method is assigned. Effectiveness criteria are defined at opening: complaint rate returning to below the FMEA-documented threshold within 90 days of corrective action. The QU reviews both outputs — the field action packet and the CAPA — through the same Human Gate, in the same session.

One event. Two engines. One documented, auditable decision packet.

What Actually Happened

Medline received complaints over time. The rotating adaptor failure resulted in four serious injuries before the recall was initiated in March 2026. The pattern was in the data. The decision came late.

With ParanoiaIQ

The rate trigger fires on complaint two. The escalation is automatic and consistent. The HHE and field action recommendation are drafted before the third complaint arrives. Four injuries could have been prevented.

The pattern was already there. The question is whether your system sees it in time.

Matt Collins

I built ParanoiaIQ because I kept seeing the same failure modes: risk files that had not been updated, CAPAs that closed without fixing the root cause, and escalation decisions that varied by reviewer.

After 25 years inside these decisions at Abbott, Fresenius Medical Care, Integra LifeSciences, NuVasive, and Exactech, I knew the pattern well enough to build a system around it.

Regulatory Situations Navigated

  • FDA Warning Letter remediation
  • Consent decree compliance
  • 483 observation response and closure
  • FDA inspection readiness
  • Class I, II, and III recall management
  • MDSAP multi-site certification
  • EU MDR market access
  • Post-market surveillance program build
  • Quality system scale-up through M&A
  • Pharmaceutical CGMP remediation (21 CFR 210/211)
  • Combination product and biologics quality
  • GDP and cold chain compliance

The recall you prevent is the one nobody hears about.

Walk your last quality event through the engine. We will show you exactly where the decision would have changed.

Find the Decision Gaps in Your System

20-minute walkthrough. No integration required. Bring a real complaint, deviation, CAPA, or 483 observation — we run it live.