Novimed

Translation Quality Assessment

Translation Quality Assessment

Our quality assessment process is based on the industry’s best practices, technologies, medical domains’ needs, regulations, and our experience. Our Quality assessment and assurance process is based on the broad lines of the guidelines of ISO 17100:2015. Moreover, FDA’s requirements, EMA’s requirements, ISO1348 requirements, and any specific client’s or regulatory requirement are included in our customized QA plan.

Our quality assessment process is based on the industry’s best practices, technologies, medical domains’ needs, regulations, and our experience. Our Quality assessment and assurance process is based on the broad lines of the guidelines of ISO 17100:2015. Moreover, FDA’s requirements, EMA’s requirements, ISO1348 requirements, and any specific client’s or regulatory requirement are included in our customized QA plan.

Medical QA Logic

Customized J2450-inspired medical severity model
AI-assisted terminology and consistency checks
Human expert arbitration on critical findings
Structured quality evidence for sponsors
Precision QA built for clinical and life science translation environments.

Medical Severity Scoring

Error impact classification adapted to medical context and risk.

AI Pre-Screening

Automated detection of terminology drift and consistency conflicts.

Expert QA Review

Senior linguists validate findings and corrective actions.

Audit-Ready Output

Structured reporting for sponsors and quality governance teams.

Quality Matrix

Interactive Error Severity Framework

Select a severity level to inspect operational impact, correction policy, and acceptance threshold.

Critical Severity

Threshold: 0 tolerance

Impact

Patient safety, regulatory intent, or core medical meaning is compromised.

Corrective Action

Immediate correction and mandatory senior reviewer escalation.

Typical Findings

Dosage mismatchContraindication distortionClinical instruction reversal

Evaluation Architecture

From Finding Detection to Corrective Closure

Detect

AI and reviewer checkpoints identify issues across terminology, meaning, and formatting.

Classify

Each issue is mapped to calibrated severity thresholds and risk implications.

Resolve

Corrections are tracked to closure with transparent QA evidence and reporting.

QA Control Metrics

Critical issue elimination rateTracked
Major issue closure speedTracked
Sponsor reporting completenessTracked

Next Step

Submit source/target pairs and domain scope to generate a structured TQA plan with severity-based reporting.

Generate QA Plan