Leveraging Data to Build an Effective Quality Assurance Program.pdf

DEANNA AUNGST, Environmental Standards
Danielle Coles, Environmental Standards

Description

Leveraging Data to Build an Effective Quality Assurance Program Authors Ms. DEANNA AUNGST - United States - Environmental Standards Ms. Danielle Coles - United States - Environmental Standards Abstract Beyond the standard field measurements and analytical results typically stored in a database or spreadsheet, capturing the data around the delivery, quality, timeliness, and status of that data can enable managers to understand the successes or stumbling points of their programs. Tracking the metadata of each deliverable, as well as each task associated with them, provides a non-biased assessment of how your program is working. Having this information available also allows program managers to identify costly errors or deficiencies, as well as to recognize the success stories of increased program efficiency over time. This presentation will demonstrate successful metadata tracking and provide examples of leveraging performance data to identify deficiencies in laboratory inefficiencies, categorize common field data collection issues, and improve quality assessment and reporting timelines. To demonstrate, we will provide a detailed summary of how detailed tracking was used to increase laboratory deliverable timeliness and quality.

 
May 16th, 10:30 AM May 16th, 11:00 AM

Leveraging Data to Build an Effective Quality Assurance Program.pdf

Grand Rapids, Michigan

Leveraging Data to Build an Effective Quality Assurance Program Authors Ms. DEANNA AUNGST - United States - Environmental Standards Ms. Danielle Coles - United States - Environmental Standards Abstract Beyond the standard field measurements and analytical results typically stored in a database or spreadsheet, capturing the data around the delivery, quality, timeliness, and status of that data can enable managers to understand the successes or stumbling points of their programs. Tracking the metadata of each deliverable, as well as each task associated with them, provides a non-biased assessment of how your program is working. Having this information available also allows program managers to identify costly errors or deficiencies, as well as to recognize the success stories of increased program efficiency over time. This presentation will demonstrate successful metadata tracking and provide examples of leveraging performance data to identify deficiencies in laboratory inefficiencies, categorize common field data collection issues, and improve quality assessment and reporting timelines. To demonstrate, we will provide a detailed summary of how detailed tracking was used to increase laboratory deliverable timeliness and quality.