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Using hospitalization data for injury surveillance in agriculture, forestry and fishing: a crosswalk between ICD10CM external cause of injury coding and The Occupational Injury and Illness Classification System.

Erika E ScottLiane HirabayashiJudy GrahamNicole KrupaPaul Jenkins
Published in: Injury epidemiology (2021)
The crosswalk provides a reproducible, low-cost, rapid means to identify and code AFF injuries from hospital data. The use of this crosswalk is best suited to identifying true agricultural cases; however, capturing suspected cases of agriculture, forestry, and fishing injury also provides valuable data.
Keyphrases
  • climate change
  • low cost
  • electronic health record
  • big data
  • public health
  • healthcare
  • risk assessment
  • heavy metals
  • machine learning
  • artificial intelligence
  • deep learning
  • acute care
  • drug induced