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A Batch Production Record (BPR) is the executed, filled-in version of a Master Batch Record (MBR), the actual documentation generated during the manufacture of a specific batch. Where the MBR defines the standard procedure, formula, and specifications, the BPR captures what genuinely happened: the raw materials used, in-process test results, equipment employed, operator sign-offs, and any deviations encountered. In an electronic batch record system, the BPR is generated dynamically as production progresses, rather than compiled after the fact from paper logs.
A well-maintained BPR is the primary evidence a manufacturer has that a batch was produced according to approved procedures, it's what Quality Assurance reviews before releasing product, and what regulators examine during inspections. When BPRs are captured electronically rather than on paper, batch review becomes significantly faster because deviations and exceptions can be flagged automatically, allowing QA to focus on where it's actually needed (see Review by Exception) rather than manually checking every line of every record.
Before a pharmaceutical batch can be released to market, QA reviews the completed BPR against the MBR and any associated deviation reports. An electronic BPR with built-in exception flagging lets reviewers immediately see which steps require attention, cutting release cycle times from days to hours in many implementations.
When an in-process test result falls out of specification, investigators pull the BPR to reconstruct exactly what happened at that step, which operator, which equipment, and what environmental conditions were logged, supporting root-cause analysis and CAPA.
The MBR is the template or “recipe", the approved standard instructions for making a product. The BPR is the completed record from an actual production run, showing what was actually done against that template.
Typically Quality Assurance, sometimes alongside Quality Control for testing data, reviews the completed BPR to confirm the batch meets all specifications before authorizing release.
Corrections are permitted but must follow strict data integrity protocols — the original entry must remain visible (not deleted), the correction must be attributable to a specific person, dated, and often requires a documented reason, consistent with ALCOA+ principles.
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