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: [email protected]; 888-320-3472


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