Biographic changes over time: Difference between revisions

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When people change names, eg marriage, we change all old records to be consistent with the current one.  
 
== Names ==
When people change names, eg marriage, the [[Data Processor]] changes all old records to be consistent with the current one.  
*[[LastName_field]]
*[[LastName_field]]
*[[FirstName_field]]
*[[FirstName_field]]
EPR uses the name used at admission time. Our old records therefore become inconsistent with EPR.
EPR uses the name used at admission time. Our old records therefore become inconsistent with EPR.


When Betty becomes John, we enter the biological/assigned at birth sex.
== Sex ==
*[[Sex]]
[[Sex field#Sex changes over time]] - we keep value of the earliest encounter we have.
EPR uses the currently used gender, as far as we could tell. We didn’t review what the policies are about this.  Our records will therefore be inconsistent with EPR.
{{DT |
Right now we do not track anywhere that Betty became John. Our data would make it look like the person had always been John and female. So, when we cross-check data, these people get flagged. Should we change how we collect them? Should we change how we alias them? Or should this info only live in the L_Problem table?
}}


We try to keep track of the name situation so that, when we find errors, we don’t have to do chart reviews. We do not currently track sex/gender info.
== PHIN ==
*[[Alias_ID_collection]] I would consider this part of patient information from a PHIA perspective.
* [[PHIN field#Multiple PHINs or PHIN changes over time]] - we update earlier encounters to newest value
The alias data is a bit suspect, not sure how consistently people are entering it but have doubts it's 100%.


== Cross checks ==
We also keep track of false positives in our cross-check queries so we can have an explanation for them for future reference, and yet drop them off our cross-check lists.  
We also keep track of false positives in our cross-check queries so we can have an explanation for them for future reference, and yet drop them off our cross-check lists.  
*[[L_Problem_table]] (I would not consider that part of patient information from a PHIA perspective. )
*[[L_Problem_table]] (I would not consider that part of patient information from a PHIA perspective. )




Revision as of 16:02, 9 March 2019

Names

When people change names, eg marriage, the Data Processor changes all old records to be consistent with the current one.

EPR uses the name used at admission time. Our old records therefore become inconsistent with EPR.

Sex

Sex field#Sex changes over time - we keep value of the earliest encounter we have.

PHIN

Cross checks

We also keep track of false positives in our cross-check queries so we can have an explanation for them for future reference, and yet drop them off our cross-check lists.

  • L_Problem_table (I would not consider that part of patient information from a PHIA perspective. )
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