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Data Quality: diagnosis codes for virology swabs - Coggle Diagram
Data Quality: diagnosis codes for virology swabs
What is the current state of our data quality?
Data quality payments scheme dataset (Oct 2023 - Feb 2024)
By practice
Some specifics about diagnosis
Limited time span
Virology dashboard data for ARI diagnosis vs pathogen
Current
Detail on practice and diagnosis
Potentially unreliable: hasn't been QA'd
Will E's thesis data
granular look at how ARI is coded
in detail
no virology data: not relevant for upping the proportion of diagnosis codes in the immediate future
Need to be able to measure DQ definitively
What do we mean by "data quality" for this specific problem?
We want an
ARI diagnosis code for each swab
What other codes/information do we ask practitioners to fill in?
Which of these are vital to us/RCGP/UKHSA? Which are nice-to-haves?
How does the swabbing process work?
Different workflows in different practices: list as many as possible
When/how do all the required codes get attached to the EHR/swab?
Are any of these duplicated, e.g. on clinical system and in virology form?
How quickly does this information flow back to us?
How do practitioners feel about swabbing and coding?
What motivates them to code and swab?
Finances
Payment per swab
One-off payments e.g. data quality scheme
QOF & DES
What is DES?
Patient care
Swabbing a patient makes them feel cared for
Helps to limit unnecessary antibiotic prescriptions
Public-mindedness / altruism
Gateway to research / studies: combination of the other listed factors
Study participation is lucrative
Study participation can improve patient care, and shows patients that a practice is committed to medical advancements
Practices get to participate in research which is interesting and exciting
Scientific interest
What currently prevents them from coding more/better?
Lack of time
Lack of coding knowledge
Too much complexity: different locations for different codes, inefficient workflows, ...