Extending Quality Assurance and Data Integrity beyond Standard Practices and Regulatory Guidelines – from Laboratory to Decision Makers.

Data Quality
Oral Presentation

Prepared by

Contact Information: paul.banfer@eisc.net; 888-320-3472

ABSTRACT

Key areas of the presentation:

• Quality control samples and associations to field samples
• Analytical review stages (Primary, Secondary, Peer, Completeness …)
• Importance of quality control frequency
• Tracking professional judgments and decisions along the data flow
• Applying action limits that are pertinent to the project
• Result comparison reviews – do the results make sense
• Result trending reviews – z scoring
• Communication of analytical issues to the decision maker
• Closing the functionality gaps to enhance data integrity