QA Audit Procedure [GxP / QC / QA]

posted by Helmut Homepage – Vienna, Austria, 2011-01-20 15:13 (5623 d 09:00 ago) – Posting: # 6455
Views: 28,879

Dear ElMaestro & Swapnil!

❝ It sounds a little dumb but I think you should audit to the extent necessary, whether it be 1% or 99%.


OK.

❝ How to find out which percentage is right for you is a science in itself (risk analyses are popular at the moment; greedy course organisers will be happy to skin you alive).


:-D

Well, Swapnil has asked for raw data audits. I think even more important is checking critical points, which cannot be corrected afterwards:
IMHO both points should be covered either by a bar-code system or performed following the four-eye principle.

When it comes to data-transfer again it depends… When we switched from manual data-entry (CDSs ⇒ calibration ⇒ analytical results ⇒ biostatistical database) to electronic data flow within a LIMS we evaluated two studies in parallel during validation. We expected less than 1% of transfer errors (mainly transposed digits like 3657.45 instead of 3567.45) but were surprised to find ≈2%. Didn’t affect the studies’ outcome (maybe in the 6th decimal), but still interesting. Once the data-flow is validated, I think it's sufficient to check whether it was followed according to the SOPs (audit trail, hardcopies, :blahblah:).
However, if data come from external sources I don’t get the point why the data-import (analytics, lab values ⇒ statistics) should not be checked 100%. Takes about one hour for an average study. I have seen strange things (mostly caused by the nightmare Excel). Data in some (!) cells were formatted as text instead of numbers. The import seemed to work, but set text values to missing (the nice ‘.’ in SAS). Bad luck if you checked only 20%.

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