Processing errors in patient data

It is not really clear what the steps are for Link Suspect Negative Transit Time in regards to checking and correcting between EPR and Centralized Data. --Srusnak 17:32, 2017 January 5 (CST)

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Errors or inconsistencies may be discovered during many of our #Quality control processes that might detect errors. This article describes how to process them.

When an error or inconsistency is found, #Correct error from available sources for the correct information where possible. If that does not provide the needed information, #Contact the data collector for additional info.

Process any false positive or uncorrectable records as Known data errors.

Correct error from available sources

If the required change is obvious, apply it. An example for this would be a switch of two digits in a field where several previous records are available for the same patient.

If there is no obvious fix, consult the EPR.

Contact the data collector for additional info

If the previous step does not fix the problem, contact the data collector using the "email collector about patient data" button. This will set the RecordStatus field to "questioned" and exempt it from being vetted.

Rest of section probably needs to go; if any entries in notes field remain from this do we need to clean them up?' Ttenbergen 13:49, 2015 August 17 (CDT)

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• As of Dec 9.14 - processor to put in beginning of NOTES" the following: Question:date sent: what question was asked.
• if question is resolved she removes the notes when she reset record status from Question, back to SENT.
• record status is automatically set to question if Process uses the paste clipboard button. Change of record status should only apply to SENT patients.

Editing Patient_ID, location or D_ID

Patient_ID and location are used to generate the D_ID. If one of these needs to be edited, make sure the corresponding edits are done in both L_Log table and L PHI table.

Incomplete patients

If errors are found in incomplete patients any fixes done to CFE will be overwritten the next time the data is sent. Because of this, make sure to ask the data collector to make the same changes to their record.

False Positives or known errors

If a query finds an error and review of the data shows that the data is correct then consider if this is a query that is can have false positives (e.g. visitAdmitDtTms that are really close together) or that should never have false positives (e.g. died and then re-admitted).

1. • if can have false positives then treat as Known data errors
   • if cannot have false positives then discuss problem with Tina or Herman to correct the query; don't treat as Known data errors

Quality control processes that might detect errors

• vetting, specifically
  • Pre-linking checks
  • Correcting suspect links
  • Quality Assurance queries in CFE