Türkçe 
English 
QA stands for Quality Assurance. In pharmaceutical, biotechnology, medical-device, food-supplement, and other regulated manufacturing sectors, QA ensures that product quality is supported throughout the entire manufacturing and quality system, not only through final testing. Its primary role is to ensure that processes follow GMP requirements, approved procedures, data-integrity principles, and quality standards.
In Electronic Batch Record (EBR) systems, the role of QA becomes more visible and strategic. This is because EBR collects data generated during production, electronic signatures, deviations, out-of-limit values, audit trail records, and information fundamental to the batch release process in a digital environment. Centra's Electronic Batch Record (EBR) solution can help QA teams evaluate batch records faster, more traceably, and in a more risk-focused way.
The Basic Structure of the QA Concept and its Role in EBR
What is QA?
QA is the quality assurance function that ensures production and quality processes are carried out in accordance with predefined standards. QA does not only check product quality at the end of production; it also ensures that procedures are correct before production begins, that records are kept completely during production, and that reliable quality decisions are made after production.
What is the main purpose of QA?
The primary objective of QA is to ensure product quality throughout the process. Therefore, QA plays an active role in documentation, training, deviation management, CAPA, change control, validation, audit preparation, and batch release processes.
What is the relationship between QA and EBR?
EBR provides QA with the necessary production and quality records in digital format. While the QA team manually checks pages, signatures, dates, calculations, and corrections on paper batch records, a significant portion of these checks can be handled by the EBR system. This allows QA to focus more on quality assessment and risk analysis.
How does EBR change the QA workload?
EBR doesn't eliminate the QA workload; it changes the nature of the work. QA focuses more on deviations, trends, process suitability, data integrity, and batch release decisions than on mechanical record checking.
What is the difference between QA and QC?
QA is the function that ensures the entire quality system is sound. QC, or Quality Control, is the quality control unit that performs tests and analyses on products, raw materials, semi-finished products, or environmental samples. QC produces results; QA ensures that these results are correctly evaluated within the quality system and linked to appropriate decision-making processes.
Brief summary of the difference.
QC answers the question, "Is the product test result satisfactory?". QA, on the other hand, evaluates the question, "Was this product manufactured reliably within the quality system, using the correct process, with the correct records, and according to the correct procedure?"
How does QA perform the batch record review process in EBR?
Batch record review is one of the most fundamental tasks of QA within EBR. QA examines whether production steps have been completed, whether electronic signatures are complete, whether critical process parameters remain within limits, the suitability of QC results, and whether there are any obvious deviations.
What does QA look for in the batch record?
QA evaluates missing data, late registration, manual correction, out-of-limit values, unexplained changes, deviation links, missing electronic signatures, and all exceptions that may affect the quality decision.
How does QA play a role in deviation, CAPA, and change management?
QA ensures that deviations occurring during or after production are properly evaluated. The root cause of the deviation, its impact on product quality, the risk of recurrence, and the need for CAPA are examined by QA or in coordination with QA. In the EBR system, associating the deviation with the relevant batch, production step, process value, and user record strengthens the QA evaluation.
Why does QA need deviation correlation?
Because if the deviation record is disconnected from the batch record, it is not possible to clearly understand the conditions under which the event occurred. EBR makes root cause analysis more reliable by showing the context of the deviation.
Frequently Asked Questions About the Role of QA in EBR
What does Review by Exception bring to QA?
Review by Exception allows QA to focus on exceptions flagged by the system instead of reviewing the entire batch record line by line. Out-of-limit values, missing signatures, late records, deviations, manual corrections, and unauthorized transaction attempts can all be highlighted by the system.
Does this approach increase the risk to quality?
No. If the system is properly designed and validated, the risk to quality does not increase. On the contrary, it can improve inspection quality by allowing QA to focus on critical points more quickly.
How does QA evaluate audit trails and electronic signatures?
QA checks whether electronic signatures belong to the correct user, whether the signature purpose is clearly recorded, and whether critical approvals have been completed. On the audit trail side, data changes, old and new values, change time, user information, and justification records are examined.
Why is audit trail review the responsibility of QA?
Because the audit trail is one of the key pieces of evidence for data integrity. Unexplained or unusual data changes can pose a quality risk. QA must ensure that these changes are properly assessed.
How does QA play a role in EBR validation?
QA plays a crucial role in validating the EBR system in accordance with GMP and data integrity expectations. User requirements, risk assessment, test scenarios, electronic signatures, audit trails, authorization, and record review workflows should be evaluated from a QA perspective.
Why should QA be involved early in the validation process?
If QA is involved late in the process, the system may not fully meet quality expectations even if it functions technically. Therefore, EBR design, testing, and deployment should be planned in collaboration with QA.
How does QA use EBR data in ePQR and trend analysis?
QA can use process parameters, deviations, OOS/OOT records, electronic signatures, production times, and quality results from EBR in ePQR processes. This allows for a more data-driven analysis of the product's periodic quality performance.
What insights does EBR data provide for QA?
Recurring deviations, quality incidents concentrated in specific lines, process values approaching limits, post-CAPA improvement status, and product-based quality trends can be made more visible with EBR data.
How does Centra support EBR QA processes?
Centra EBR, with its electronic batch recording, e-signature, audit trail, limit control, deviation visibility, Review by Exception, reporting, and ePQR data infrastructure, can help QA teams conduct faster and more reliable assessments. This makes quality assurance processes more traceable and audit-ready.
How to get started in strengthening QA processes with EBR?
Businesses should first analyze their current QA review times, the most common recording errors, types of deviations, audit trail review needs, and data integrity risks. Centra can be contacted via their information page to evaluate a QA-focused EBR transformation.
