Using neural networks and natural language processing to describe antimicrobial usage in companion animal veterinary clinics: overcoming the technological and human challenges.


This talk discussed the previuous studies focused on evaluating what can reasonably be extracted out of a clinical record. We found that fewer than 40% of the records have all the data necessary to evaluate whether or not an antimicrobial was given appropriately. Novel neural networks might be able to overcome the difficulties of harvesting free text data from clinical records, but when the essential data is not recorded in the clinic records then the human barrier becomes the insurmountable obstacle.