This article outlines the 'Process Oversight' pillar of our Data Quality and Integrity Program. SLCP monitors performance throughout the different phases of the verification process to ensure high quality data.
- Pre-verification checks
- Post-verifications checks
- After a report is finalized
- Frequently Asked Questions
Pre-verification checks
Before verification begins, automated checks confirm Verifier eligibility, and validate facility-entered data. Facility alerts are also linked to a facility profile for suspected or confirmed serious issues, helping Verifiers focus on potential risks during the assessment.
Post-verification checks
After verification, SLCP runs automated quality checks on all reports to identify errors. We then issue notifications to fix the issue.
Mistakes must be corrected before the report can proceed, and recurring issues are monitored to detect deeper quality problems.
Facilities then review and finalize the report, confirming its accuracy and taking ownership of the data.
After a report is finalized
Post-report finalization, SLCP continues quality assurance through desktop reviews, duplicate or counter verifications, and descriptive and predictive analytics, including AI-based tools that flag outliers and patterns of poor-quality data.
These findings can lead to corrective actions, ensuring accountability, continuous improvement, and the integrity of SLCP data. The number of mistakes found in reports also impacts a VBs or Verifiers score.
Frequently Asked Questions
What is a facility alert?
A facility alert is a notification linked to a facility profile. It communicates serious issues in a facility to VBs and Verifiers. They can be created for confirmed circumstances, or for suspicions of serious issues, helping Verifiers focus on potential risks during the assessment.
What is a Desktop Review?
Desktop Reviews assess the quality of a final verified assessment report. Mandatory Desktop Reviews are conducted for every new Verifiers first report to provide feedback for improvement and ensure they are meeting SLCP standards.
We also conduct risk-based Desktop Reviews. These are conducted on reports which are flagged to SLCP through one of our feedback channels or quality assurance activities, for example through complaints, predictive or descriptive analytics, or other methods.
Desktop Reviews are important for upholding quality standards, because they allow SLCP to identify exactly what quality mistakes have been made, and issue a Corrective Action Request for improvements.
What is a Duplicate or Counter Verification?
A duplicate or Counter Verification is a complete or partial repetition of an SLCP verification to assess quality by comparing the results with the original verification.
How does SLCP use predictive analytics to look for VB and Verifier mistakes?
Quality assurance in social and labor assessments is challenging because of the variety and quantity of data collected in a single audit or assessment.
At SLCP, we believe we’ve solved a part of the challenge by designing new AI technology that is specifically tailored to analyzing social & labor audits for quality indicators. We use predictive analytics to predict what is likely to happen, or where mistakes are likely to be.
Nearly every assessment identified by the predictive analytics model so far has resulted in Corrective Action Requests, helping us spot issues efficiently and effectively.
You can learn more about SLCP’s AI integration on our website.