Independent analytical verification for biomedical, clinical, and healthcare research
RIQA provides independent analytical verification of analytical outputs across biomedical, clinical, and healthcare analytics domains — ensuring conclusions drawn from data are internally consistent, transparently derived, and independently reproducible and analytically verifiable under defined conditions.
Core assurance principles
01 / Provenance
Data lineage verification
Source, transformation logic, and analytical inputs traced and documented end-to-end.
02 / Methodological Consistency
Statistical & Methodological Assessment
Reported metrics evaluated against the structure of the underlying data.
03 / Reproducibility
Independent Result Reconstruction (IRR)
Results reconstructed from provided data under standardized conditions.
04 / Transparency
Structured QA report
Structured assurance reports in human-readable and machine-readable formats with full provenance.
RIQA applies the same four-phase verification framework across three primary domains.
Domain 01
Preclinical & Biomedical Research
Laboratory, genomic, imaging, and in vivo workflows where quantitative results support biological conclusions.
qPCR · Flow · RNA-seqExplore →
Domain 02
Clinical Research & Trial Analytics
Clinical endpoint analyses verified by a neutral, non-sponsoring party with direct regulatory implications.
Survival · SAP · ITTExplore →
Domain 03
Healthcare Analytics & Quality Assurance
Claims and risk models where implementation gaps carry financial and compliance consequences.
HCC · Claims · ETLExplore →
What an engagement looks like
Typical RIQA engagements
Every engagement follows the same four-phase pipeline. Scope and deliverables are defined upfront before analysis begins.
Biomedical
Pre-publication verification
A research group submits raw qPCR Cq values. RIQA reconstructs fold changes and p-values. A structured assurance report is referenced in the manuscript methods section.
Clinical
Sponsor-side SAP verification
A sponsor submits patient-level data and the SAP ahead of a regulatory or publication submission. RIQA reconstructs endpoints and delivers sensitivity analyses.
Healthcare analytics
Healthcare analytics implementation review
An analytics team submits model documentation before a quality reporting or compliance submission. RIQA verifies whether implemented logic matches the declared specification.
Research funding
NIH grant preliminary data review
A PI submits preliminary data included in a grant application. RIQA verifies that the statistical conclusions are internally consistent and reproducible from the submitted data.
Translational
Biomarker verification review
A translational group submits biomarker panel data. RIQA evaluates endpoint consistency and assay-to-conclusion traceability.
Institutional
External methodological assurance
A core facility engages RIQA as an external QA layer, providing structured reproducibility documentation to support submissions.
Who RIQA serves
Built for organizations where data integrity is non-negotiable
Preclinical & Biomedical
Academic research laboratories
Core facilities and shared instrumentation
Contract research organizations (CROs)
Translational and pre-clinical research groups
Journal authors seeking pre-submission assurance
Clinical Research
Clinical trial sponsors and biotech organizations
Biostatistics teams preparing regulatory submissions
Regulatory affairs and clinical operations groups
NIH grant applicants with preliminary data
Healthcare Analytics
Healthcare analytics vendors and consultancies
CMS contractors and Medicare Advantage plans
Payment integrity and fraud detection teams
Health system analytics and informatics teams
"RIQA is not intended to function as a gatekeeper or decision-maker, but as an enabling layer that strengthens trust, supports peer review, and improves the integrity of data-driven research."
— RIQA Mission Statement · riqassure.com
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