Automated Permutation QC Tool

Description

Implement a configurable, rules-based QC check that validates structured measure permutation data using an explicit, configurable ruleset.

Rules:

• Incomplete data

• Incorrect data type and value

• Invalid parameter combinations

• Mathematical inconsistency

• Business and cross-systems rules

• Missing or duplicate permutation records

Requirements:

• Deterministic outputs (e.g., rules are applied correctly, consistently, objectively)

• Seamless integration with existing measure development and review workflow. The validation process is automatically run during permutation building or manually triggered by measure developers

• Actionable error messages that identify the affected field or permutation

• Clear explanation of the validation failure and source of the rules, enabling measure developers to efficiently correct issues before submission or review

• Transparency to the source of the rule, enabling measure developers to assess its applicability and make informed judgments

• QC rules should be configurable and maintainable as data specifications evolve.

Business rationale

Improve measure package data quality and systems resiliency

Success Metrics

• Fewer post-publishing corrections of critical data errors

• Fewer CPUC QC comments per measure package.

• Shorter time from submission to approval.

• Fewer downstream system integration failures (e.g. CET) due to data mismatch