Introduction of Spreadsheet
Data Integrity App |
Spreadsheets are widely used in the industry in Quality Control and manufacturing areas
Many GxP critical
spreadsheets need to undergo validation to ensure that the data they generate
is accurate and secure.
One of the biggest challenges the industry faced
for years is how to validate, maintain, and manage the integrity of data
generated using spreadsheets in GMP areas.
Spreadsheets used in GMP areas must be validated
and meet data integrity requirements applicable to the industry.
Data integrity of spreadsheets is extremely
important because they often generate critical GMP data that have an impact on
the product Critical Quality Attributes.
The lack of data integrity in spreadsheets can
have a negative impact on the product quality and safety because they are often
used to manipulate data generated in the quality control laboratories that is
related to testing product quality attributes.
Here we describe a
pragmatic approach to the validation of Excel spreadsheets using the principals
of GAMP 4.
The validation
lifecycle requirements are met using a generic documentation set which allows
spreadsheet validation and implementation with two documented deliverables.
Compliance with
the user’s applicable regulations is achievable using this flexible and cost
effective process.
It is recognized
that Excel Spreadsheets have been widely used in all industries for many years.
A major attraction of spreadsheets is their ease of use and flexibility –
anybody with a minimum amount of training/experience can create and modify
spreadsheets.
The downside of
this versatility is the potential for developer and operator error, and the
difficulty in verification of the spreadsheet and the data it produces.
Additionally there
are inherent security and audit trail deficiencies in the standard MS-Excel
product, leading many experts to consider spreadsheets as ‘unvalidatable’.
These factors have
led auditors to consider spreadsheets as a common system in which data can be
incorrectly calculated and reported, both due to accidental, and intentional
operator actions.
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Data Integrity App |
Our Data integrity app will helpful for understanding what Data integrity & CSV really means & How 21 CFR Part 11, EU Annex 11 & other regulatory guidelines affects in pharmaceutical Industry.
- Basic Data Integrity Concepts
- ERES & Its Requirement
- CSV & Its best practices
- Mock Inspection and General Q&A
- Checklist for inspection
- Inspection Readiness
- Useful SOP’s
- Stay Regulatory Compliant.
“Stay One Step Ahead in Pharma IT Compliance”
https://play.google.com/store/apps/details?id=com.innovativeapps.dataintegrity
Try our "Data Integrity" app which helps you to better understand current regulatory agencies thinking on Data Integrity & CSV.
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