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SQL Server – How do I avoid tons of lower (column) in the WHERE clause for multiple LIKE comparisons?

I need to filter data in a string column and therefore compare the column with NOT LIKE to a series of strings. I use SQL Server. Now my code looks like this:

SELECT history.date,
       history.new_value,
       res.resource_name
FROM   item_history history, 
       owned_resource   res
WHERE  (history.attr_name = 'resource_contact' OR history.attr_name = 'Kontakt-UUID')
       AND res.inactive = 0 
       AND history.com_par_id = res.own_resource_uuid
       AND lower(history.new_value) NOT LIKE '%tp für%'
       AND lower(history.new_value) NOT LIKE '%rücklieferung%'
       AND lower(history.new_value) NOT LIKE '%rückläufer%'
       AND lower(history.new_value) NOT LIKE '%stoerreserve%'
       AND lower(history.new_value) NOT LIKE '%zentrallager%'
       AND lower(history.new_value) NOT LIKE '%bhs-pool%'
       AND lower(history.new_value) NOT LIKE '%lager halle%'        
       AND lower(history.new_value) NOT LIKE '%lager logistik%'
       AND lower(history.new_value) NOT LIKE 'reserve %'
       AND lower(history.new_value) NOT LIKE '%igeko%bhs%'
       AND lower(history.new_value) NOT LIKE '%service%ecg%'
       AND lower(history.new_value) NOT LIKE '%multifunktionsdrucker%'
       AND lower(history.new_value) NOT LIKE 'nn%gisa%raum%'
       AND lower(history.new_value) NOT LIKE '%citrix%admins%'
       AND lower(history.new_value) NOT LIKE '%personalwesen%'
       AND lower(history.new_value) NOT LIKE '%etagendrucker%'
       AND lower(history.new_value) NOT LIKE '%schulungsraum%'
       AND lower(history.new_value) NOT LIKE '%team%raum%'
       AND lower(history.new_value) NOT LIKE  '%beratungsraum%'
       AND lower(history.new_value) != 'reserve'
)

I think the performance is not the best, which keeps calling "lower ()". As a programmer my nails roll up and see so much redundant code.
Unfortunately, I have not found a good way to use a variable or similar.
(I'd like to add that I can NOT just add a new computed column, which is a good option since I am only authorized to read data.)

Does anyone have a good idea to make the code smarter? Thank you in advance!

Jana

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