Query NDC Bad Postal Code
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| Data Integrity Checks | |
| Summary: | Cross check of postal codes against known postal codes |
| Related: | Postal Code field |
| Firmness: | hard check |
| Timing: | always |
| App: | Centralized data front end.accdb |
| Coding: | query NDC_Bad_Postal_Code |
| Uses L Problem table: | No |
| Status: | implemented |
| Implementation Date: | 2014-09-24 |
| Backlogged: | No |
We cross-check the postal codes we collect as part of Postal Code field collection against a list of known-good postal codes. Also see query NDC_Postal_Code_over_time.
CFE Data Integrity Checks Steps
Comparisons are done as part of vetting via NDC query NDC_Bad_Postal_Code in CFE. Steps will be:
- if the patient has Province = Manitoba or CF :
- check the postal code in EPR, correct if different than ours
- if same as ours, check the address in EPR against Canada Post Postal Codes;
- update patient's postal code if it was wrong or
- make #update to Postal_Code_Master table if postal code was correct and just not in our list
- if the patient is from any other province:
- if the Postal Code's first letter is not for the province where the patient lives you need to check EPR or internet to put the correct Postal code
- If the first letter is appropriate for province but triggers because it's not in the master list, then register the D_ID with Known data errors with query name "NDC_Bad_Postal_Code"
- if the patient has Province = (US or NK or OS) there should be no postal code so query should not trigger at all
update to Postal_Code_Master table
see Postal_Code_Master table#Maintenance and Validation of Master table for other update processes we have for Postal_Code_Master table
- Open Postal_Code_Master table
- update/add code
- you only need to fill in the fields PCode, rhaname, RHA_Acronym and town, we will eliminate the other fields.
Maintenance and Validation of Master table
see Postal_Code_Master table#Maintenance and Validation of Master table for other update processes we have for Postal_Code_Master table
Log
- 2021-01-27 - changed query to only look at the last year of data to make it faster; any older records were already fixed
- 2016-08-end - cleaning started
- 2014-09-24 - implemented
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