Peer-reviewed researchPublication-grade

Not a vendor claim. A published framework.

ROQAIAH is grounded in peer-reviewed research defining the recall execution gap and a governance framework for verified recall completion. Citable now at the preprint DOI below.

Scholarly foundation
P1 preprint — doi.org/10.21203/rs.3.rs-9098866/v1
Globalization & Health — under editorial review
EIST — R1 under review
ROQ-AIAH-STD-1000 — Zenodo deposit in progress

Two papers. One governance architecture.

Both papers are under simultaneous editorial review. Both are citable now via their preprint records.

P1 — Recall Governance Paper

Closing the Recall Execution Gap — a governance framework for verified medical device recall completion

Under editorial review at Globalization & Health. Posted as a preprint 13 March 2026. Citable now. Defines the recall execution gap, Recall Closure Evidence Set (RCES), ROQ maturity model (levels 1–5), and governance metrics (TTI, TTA, VCR, EB, RRD, EoC).

↗ doi.org/10.21203/rs.3.rs-9098866/v1

R1 — Governance-Through-Design Paper

Trigger-based governance frameworks for digital design accountability

Under review at Environmental Innovation and Societal Transitions (EIST). Defines trigger-based governance and accountability-through-architecture — the design logic that underpins how ROQAIAH structures governance obligations into the platform itself.

Under review — EIST
5
ROQ maturity levels — notice-driven to verified closure
19
RCES artefact classes — auditable evidence standard
6
Governance KPI metrics: TTI, TTA, VCR, EB, RRD, EoC
L1–L3
Healthchain conformance levels — framework reference

Recall Closure Evidence Set (RCES)

The RCES defines the 19 artefact classes that constitute auditable, verified recall completion. It is the evidence standard that ROQAIAH's platform is built around — connecting hospital workflow to what TGA and ACHS EQuIP assessors expect to see.

ROQ Maturity Model (1–5)

A five-level governance model: from Level 1 (notice-driven, reactive) through Level 3 (structured, evidence-based) to Level 5 (realtime, AI-augmented, cross-institutional). Recall Ready is the platform path from Level 1 to Level 3.

Governance KPI metrics

Six metrics operationalise the ROQ framework: Time-to-Identify (TTI), Time-to-Action (TTA), Verified Closure Rate (VCR), Evidence Burden (EB), Recall Readiness Differential (RRD), and Extent of Compliance (EoC). These are the metrics the KPI dashboard measures.

The recall execution gap

The gap between a recall notice being issued and a hospital being able to demonstrate — with auditable evidence — that every affected device has been identified, acted on, and closed out appropriately. P1 defines it. ROQAIAH closes it.

Recent Australian medical device recalls — sample dataset.

The following illustrative records are based on real published TGA and FDA recall patterns. Device names, sponsors, lot numbers, and unit counts are synthetic approximations for demonstration purposes only. Always verify against the TGA recall database for live obligations.

TGA ReferenceDeviceSponsorClassRecall classUnits AUReporting obligationStatus
RC-2026-RN-01847RESOLUTE ONYX Coronary Stent
Medtronic Australasia
MedtronicClass IIIClass I~1,24010-day mandatoryOpen
RC-2026-RN-01441FreeStyle Libre 3 CGM Sensor
Abbott Medical
AbbottClass III / IVD 4Class I~18,40010-day mandatoryClosed
RC-2026-RN-01791Triathlon Knee System — Tibial Insert
Stryker Australia
StrykerClass IIIClass II~38630-day reportIn progress
RC-2026-RN-01653BD Alaris Infusion Pump — Software v12.x
Becton Dickinson
BDClass IIbClass II~2,84030-day reportClosed
RC-2026-RN-01588CARESCAPE B850 — ECG Lead Wire Set
GE HealthCare
GE HealthCareClass IIaClass III Hazard~4,200VoluntaryClosed
RC-2025-RN-04821IntelliVue MX750 — Alarm System Module
Philips Healthcare
PhilipsClass IIbClass II~1,64030-day reportClosed
RC-2026-RN-01920Persona Knee System — Femoral Component
Zimmer Biomet
Zimmer BiometClass IIIClass II~21430-day reportOpen
RC-2025-RN-04694SIGMA Spectrum Infusion — Battery Module
Baxter Healthcare
BaxterClass IIbClass II~3,28030-day reportClosed
Data note: This is a synthetic illustrative dataset based on real published TGA and FDA recall patterns. Device and sponsor names represent real products that have had similar recall events. Specific lot numbers, unit counts, and reference numbers are illustrative only. Always verify current recall obligations at tga.gov.au. Subscribe to Recall Watch for weekly curated intelligence.

Want the full research briefing?

We'll send you the P1 preprint, a plain-language summary, and the RCES artefact class overview — formatted for your quality team.