Data Integrity by Design in Laboratory Informatics

Summary

Most data integrity findings in QC labs trace back to system configuration rather than individual behaviour. This paper describes configuration and workflow choices in LIMS and CDS that make ALCOA+ the default.

Key takeaways

1. 01Configuration settings behind the most common QC findings
2. 02Audit-trail review that scales with sample volume
3. 03Hybrid paper-electronic records and how to retire them
4. 04A self-assessment checklist for QC labs

Written for

• QC managers
• Laboratory informatics
• QA compliance