The world leader in serving science
Using LIMS to Drive Data Integrity in a Regulated Environment
Dr David Hardy Technical Solutions Manager Digital Sciences
Using LIMS to Drive Data Integrity in a Regulated Environment Dr - - PowerPoint PPT Presentation
Using LIMS to Drive Data Integrity in a Regulated Environment Dr David Hardy Technical Solutions Manager Digital Sciences The world leader in serving science Data Integrity Definitions Data Integrity: The degree to which a collection of data
The world leader in serving science
Dr David Hardy Technical Solutions Manager Digital Sciences
2
FDA Glossary of Computer Systems Software Development Terminology (1995)
MHRA Guidance for Industry on Data Integrity 2015
3
4
5
6
Attributable — Who performed an action & when? Legible — Can you read the data file & written entries throughout the life cycle? Contemporaneous — Documented at the time of the activity. Original — Original record or a certified copy. Accurate — No errors or editing without documented amendments.
7
Complete - All data including any test, repeat or reanalysis performed Consistent - All elements of the analysis such as the sequence of events follow on and are date or time stamped in the expected sequence Enduring - Recorded in laboratory notebooks or in validated systems Available - Can be accessed for review and audit or inspection
8
The world leader in serving science
10
Complete Laboratory Management Sample, test, & result management Management of lab personnel & resources Process optimization & standardization
LIMS
Visualize without original application Laboratory data archival, retrieval and preservation Support for >180 instrument data formats Vendor independent XML for long term storage
Raw Data
Procedural Execution Drives users through a process in a stepwise fashion Configuration, not customization to deploy methods and SOPs Connects to the general LIMS capabilities to provide an integrated solution
Methods & SOPs
11
12
Background information and prerequisites are shown before starting the execution Lab Execution details can be added
13
Instructions per step Different prompts per step Step wise approach
14
Result Entry, manual or from an instrument Limit checks done during execution, includes MLP checking Hazard signs shown during execution
15
eSignature configuration per step Calculations done (using values from previous steps)
16
Review by exception Accept or Reject steps
17
Graphically define your lab process in the system
18
19
20
Sample Login Test Assignment Result Entry Result Approval (Supervisor) Test Approval (Manager) Batch/Sample Approval (QA) Sample Receipt e CoA ERP Instrument Data Capture Labels Scan Sample View Procedures Operator Approval Control Instrument Calibration Control Stock Not Expired & Usage Control View Instrument Data OOS ERP Lot Disposition Batch Records Update
21
Data Systems (CDS, MS, FT/IR, etc.) Data Systems (CDS, MS, FT/IR, etc.) Direct Connections Direct Connections MES ERP PLM DMS
LES
SDMS
LIMS
database
data is unaltered
systems
22
23
24