Published Date | Data Guide Version | DQM | Action | Field | Before | After |
---|---|---|---|---|---|---|
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Priority | High | N/A |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Category | Provider characteristics | N/A |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | For ta comprehensive | TA- Inferential | No |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | For ta inferential | Yes | No |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Ta min | 0 | |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Ta max | 0.02 | |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Annotation | Alphanumeric | N/A |
03/27/2024 | 3.22.0 | MIS-11-039-39 | UPDATE | Specification | STEP 1: Any active record segmentKeep all active records from segment (PRV000XX)STEP 2: Alphanumeric missing flagCreate a binary flag called Alphanumeric_Missing that is equal to 1 when1. [DATA-ELEMENT-NAME] does not contain any alpha character (A-Z or a-z) OR any digit 1-9STEP 3: All alphanumeric missingOf the SUBMITTING-STATE-PROV-IDs identified in STEP 1, select those where Alphanumeric_Missing = 1 for all record segments for each particular SUBMITTING-STATE-PROV-IDSTEP 4: Calculate percentageDivide the count of unique SUBMITTING-STATE-PROV-IDs from STEP 3 by the count of unique SUBMITTING-STATE-PROV-IDs from STEP 1 | N/A |