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Welcome back to The Data Dish, where we keep your data integrity knowledge fresh and FDA-inspection ready. 🌿 This week, we’re slicing into digital transformation risks—because while new tech can be a five-star upgrade for your GMP processes, it can also introduce compliance nightmares faster than an undercooked soufflé collapses.
We get it—manual processes are like peeling potatoes by hand: tedious, slow, and prone to human error. Enter digital transformation, where electronic records, automated data capture, and cloud storage promise speed and accuracy. But there’s a catch… if not properly assessed and validated, computerized systems can become compliance landmines.
A pharmaceutical manufacturer upgraded its roller compactor system, moving from manual batch records to an automated, electronic data capture system. The roller compactor was responsible for granulation, a critical process step for ensuring tablet uniformity and proper dissolution.
The digital system was expected to improve efficiency, reduce manual errors, and enhance traceability. It automatically recorded:
Process parameters (e.g., roller pressure, feed rate, motor speed)
Batch start and end times
Alarm history
Operator actions and overrides
However, when the FDA inspected the facility, major data integrity issues were found.
What went wrong?
The audit trail function was disabled, meaning changes to process parameters were not tracked.
Multiple users shared the same login credentials, making it impossible to trace who adjusted process settings.
Operators could override alarms without any documentation or electronic approval.
Regulatory Expectation:
21 CFR Part 11 & EU Annex 11 require full audit trails for electronic records. Every data entry, change, or deletion must be logged and attributable to a specific individual.
What went wrong?
Operators discovered that the system allowed backdating of entries, meaning they could record batch data after production was complete.
An internal review found that several batches had discrepancies between electronic records and printed reports—suggesting that data had been altered.
Regulatory Expectation:
Data must be contemporaneous and accurate (ALCOA principles)—modifying records after the fact is a clear data integrity breach.
What went wrong?
The system was implemented without proper validation.
No documented Installation Qualification (IQ), Operational Qualification (OQ), or Performance Qualification (PQ) was available when the inspector requested them.
Operators could not explain whether the system had been tested to ensure it met process control requirements.
Regulatory Expectation:
All computerized systems used in GMP must be validated to demonstrate they function as intended (PIC/S PI-041, 21 CFR Part 211.68).
Enabled audit trails to track changes, with logs stored in a secure location.
Assigned unique login credentials to each user, enforcing role-based access.
Configured system to prevent unauthorized overrides of critical parameters.
Disabled the backdating feature to ensure all data entries were contemporaneous.
Introduced electronic signatures so that any change required supervisor approval.
Established real-time monitoring of process parameters to detect inconsistencies.
Performed a full validation (IQ, OQ, PQ) to ensure the system met regulatory requirements.
Trained staff on data integrity principles and how to properly use the system.
Established a periodic review process to assess potential gaps in electronic records.
💡 Don’t assume digital = compliant—electronic systems can create hidden data integrity risks if not properly validated and controlled.
💡 Audit trails & access controls are non-negotiable—ensure every data change is logged and attributed to a specific individual.
💡 Regulatory agencies expect proactive compliance—if you can’t produce validation records on demand, your system is at risk of being flagged in an inspection.
✅ Can you produce validation documents for every computerized system on demand?
✅ Are your risk assessments documented and up to date?
✅ Do you have a process for identifying and mitigating emerging risks in digital systems?
If you answered “no” or “not sure” to any of these, it’s time to revisit your data integrity recipe before your next inspection. Auditors love digging into digital records, and if your systems aren’t validated, you could be serving up warning letters instead of success.
🔜 Next Week on The Data Dish: Data Reviews—Auditing Without the Burnout!
Tired of manual, time-consuming data reviews? 😩 Worrying about missing a critical error before an audit? Next week, we’re serving up smart strategies to make data reviews faster, more efficient, and error-proof—without draining your energy.
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