Data entry on quality control laboratory
records
Rules for completing laboratory records
According to GMP rules laboratory records must be completed fully and dated appropriately to allow
for a proper audit trail of events. If a product or batch fails for whatever reason, the company may
investigate by examining the laboratory records. Incomplete records may hinder such on
investigations.
On all laboratory records, personnel must include:
– Description (lot number and standard name (and identity of sample source
– Statement of the test method
– Weights and measures for preparation of samples, standards and reagents
– Graphs, printouts, chromatograms annotated by the lot number, date and signature of analyst
– All calculations, including signed printouts of validated spreadsheets
– Initials or signature of person performing each test, and date each test was performed
Notebooks and worksheets are essential for supporting and verifying accuracy, reliability and
authenticity of raw data and results.
Laboratory records are important for the following reasons:
– Providing documented evidence that tests were actually conducted
– Allowing checks by a second analyst to be undertaken
– Showing the traceability of standards and samples
– Allowing the reliable investigation of OOS events
– Troubleshooting problems and investigating complaints
These records can also be used as legal evidence of compliance
Checking and verifying calculations in laboratory records
Because accuracy of laboratory information is so crucial, a second person (usually a senior analyst
or supervisor) must review the laboratory record for completeness and compliance with established
standards.
Specifically, the following must be checked during a review:
– Test method conditions must match the approved method (e.g. mobile phase, wavelength,
column)
– Calculations are accurate
– Results are compliant with the approved specifications
– No data or results have been omitted without full review and approval
– System suitability checks are within documented limits
– Assays done in duplicate are within the internal limits for allowed differences between the assays
– Deviations to the test method were properly recorded and did not affect the final results
– If measurements have been changed, the reasons are properly documented and authorized.
Altering laboratory records
In order to alter a paper-based record, personnel must abide by the following QC rules:
– Any change made to a record must be signed and dated
– Any change made to a record must permit reading of the original information
– The reasons for the change must also be recorded
– Cross out changes with a single line, date, and initial the change
– Do not write over the original information
– Ensure that all changes are legible
For electronic records, any changes to records should be made according to a defined procedure.
The procedure should include a provision for validating, checking, approving and implementing the
change.
There should still be an additional check of the accuracy of the changes either by a second operator
or supervisor, or by a validated electronic means.
Significant figures and rounding
Regulated laboratories have rules for how to handle significant figures and tolerances:
– Always refer back to the limits or specifications when rounding results. (Note: Limits are fixed
numbers and are never rounded off themselves)
– Report the result to the same number of decimal places in the specification.
– Complete all calculations before rounding off.
Rounding calculations
– Rounding up: If the last digit is equal to or greater than 5, eliminate it and index up the previous
digit.
– Rounding down: If the last digit is smaller than 5, eliminate it, and report to the unchanged
previous digit.
The table below shows an example of the rounding rules in practice.
Given a specification of >= 98.0%:
Significant figures and tolerance:
Analytical results observed in the laboratory (or calculated from experimental measurements) are
compared with stated limits to determine whether there is conformance with compendia assay or test
requirements.
The observed or calculated values usually will contain more significant figures than there are in the
stated limit, and an observed or calculated results is to be rounded off to the number of places that is
in agreement with the limit expression by the following procedure. (NOTE – Limits, which are fixed
numbers, are not rounded off).
When rounding off is required, consider only one digit in the decimal place to the right of the last
place in the limit expression. If this digit is smaller than 5, it is eliminated and the preceding digit is
unchanged. If this digit is greater than 5, it is eliminated and the preceding digit is increased by one.
If this digit equals 5, the 5 is eliminated and the preceding digit is increased by one.
Archiving rules for records
Laboratory records must be archived for at least the legal period.
The minimum period for archiving testing records is one year past the expiration date (or to your
corporate requirements) of the batch or material that was tested. This includes all supporting raw
data and graphs, chromatograms, etc.
Other documents that must also be archived include:
– Test methods
– Specifications
– Stability records
– Validation protocols and reports
– Calibration, standardization and training records
Examples of regulatory citations regarding laboratory data:
When regulators audit QC laboratories, they are particular interested in the integrity availability,
accuracy and traceability of testing data.
It is critical for any laboratory to properly manage, cross-check, maintain and archive records and
data.
Missing data:
– The original chromatographic data was not recorded in lab books, and therefore not available for
inspections.
– The SOP does not specify worksheet identification of each lab instrument used in analysis.
– There is no record of identity of equipment used to perform finished product testing.
– Records were not maintained at lot numbers and pharmacopoeial status of standards used for
product testing or equipment calibration.
– Certain lab reports were omitted from analyst notebooks.
– Raw data for HPLC assays was deleted from computer system and backup tapes were not
maintained.
– HPLC chromatogram, computer report and analytical procedure do not contain identifying numbers
allowing for reference to laboratory notebooks
Data Compliance:
– The stability data notebooks were not signed by reviewers.
– Laboratory worksheets do not allow a record of the method performed and calculations used.
– There is no provision for maintaining hard copy printouts of absorbance values used in calculation
of finished product assay results.
– Failure to identify different equipment, test methods and testing facilities from those submitted in
the application
– Dates on the content uniformity computer report were different from the laboratory notebook.
Laboratory e-records
Individual password should never be accessible to other analysts in the laboratory.
Paper-based laboratory records should state the names of the analysts responsible for the tests
and/or for the completion of the record. E-records are no different.
If one person logs on to a computer with someone else’s login, it is tantamount to forging a written
record with another analyst’s signature.
Most laboratories rely heavily on automated systems for controlling instruments, capturing raw data,
calculating assays, releasing results, and archiving information.
Regulatory agencies are interested to know how these electronic systems are controlled and have
specific rules governing computer system electronic records and electronic signatures..
These rules are often referred to as the ”Port 11 Rules” otter the FDA regulation, CFR Port 11.
The laboratory also has specific password protection rules for the use and security of records:
– Personnel should change their passwords regularly (e.g. every 90 days).
– Personnel should not display or share passwords.
– Upon leaving, personnel should log out of computer workstations.
Raw data Vs Derived data
Raw data may include photographs, microfilm or microfiche copies, computer printouts, magnetic
media including dictated observations, and recorded data from automated instruments.
Raw data can include:
– Original entries into analyst workbooks, weighing logs, and calculations
– Original data recorded and stored by data loggers or other computer/electronic devices
– Instrument calibration, service, maintenance and repair records
– Original recordings of such parameters as animal body weights
– Handwritten transcript ions to paper records displayed as a digital readout on equipment
– HPLC or other instrumental t racings or charts and integrator outputs from instruments
– Recorded visual observations
– Photographs (where used as a recording device)
Derived data is data that is interpolated, extrapolated, or summarized from raw data. An example of
derived data would be calculation summaries on a spreadsheet.
Standards and guidelines for computerized systems
The use of computerized laboratory data acquisition systems is not new, and is addressed in the
following documents:
– EU/PICs Code of GMP -Annex 11
– GAMP (Good Automated Manufacturing Practices) Guide for Validation of Automated Systems
– US EPA 2185 -Good Automated Laboratory Practices
– US FDA Compliance Policy Guides for Computerized Drug Processing:
– 7132a.07 Input / Output checking
– 7132a.08 identification of “Persons” on batch Production and Control Records
– 7132a.11 CGMP Applicability to Hardware and Software
– 7132a. 12 Vendor Responsibility
– 7132a.15 Source Code for Process Control Application Programs
– FDA Guide to Inspection of Computerized Systems in Drug Processing
ERES rules
The CFR Part 11 subsections listed below cover the fundamental ERES rules that laboratory
personnel should be aware of:
– Completeness of electronic records
– Availability of records
– Validation procedures
– Available in both human readable and electronic form
– Ensuring accuracy/availability through retention period
– Limits on system access
– Independent recording of transactions
– Sequence checks
– Adequate authority checks
– Electronic signature types supported
Instrument that record raw data
Part 11 rules apply to almost all raw and derived laboratory data that is stored or manipulated
electronically.
Part 11 rules would apply to the following:
– Digital readouts stored in e-files
– HPLC or other instrumental charts and integrator outputs that are stored as e-files
– Calculation spreadsheets
– Laboratory information management systems (LIMS)
– Environmental data loggers
HPLC generated electronic information
Reference to the sample numbers
Test conditions (e.g. column, strength, wavelength)
Sample run order
Summary table of results
Assay calculations and results
A chromatogram showing peaks and integration
Storing raw data
The QC rules for storing raw data include:
– Retain all raw data for defined periods.
– Structure the archives to allow for orderly storage, indexing, and expedient retrieval.
– Ensure that the storage conditions protect data from loss or deterioration
– Restrict access to authorized personnel
– Identify an individual to be responsible for maintaining the archives.
Requirements for storing electronic data
There are also QC for storing electronic data drawing on the Part 11 rules, which include:
– Protect data from unapproved changes or corruption.
– Ensure that any changes are audit-trailed and password controlled.
– Ensure that all records are retrievable, even in the event of a software upgrade.
– Restrict access to authorized personnel.
– Ensure that there is a documented regular backup strategy.
– Ensure that the data is able to be retrieved in readable form.
FDA inspection guide – Security and authenticity of computer records
Some basic guidance on security and authenticity issues for computerized systems:
– Only authorized individuals can make data entries.
– Data entries may not deleted. Changes must be made in the form of amendments.
– The database must be made as tamperproof as possible.
– The SOPs must describe the procedures for ensuring the validity of the data.
Validation of laboratory computerized data acquisition requires a comparison of data from the
specific instrument with that same data electronically transmitted through the system and emanating
on a printer.
Periodic data comparison would be sufficient only when such comparisons have been made over a
sufficient period of time to assure that the system produces consistent and valid results.
(source: FDA Inspection Guide: Pharmaceutical Quality Control Labs (7/93))