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Non-fatal injury data: characteristics to consider for surveillance and research.

Andrea E CarmichaelMichael F BallesterosJudith R QualtersKarin A Mack
Published in: Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention (2022)
Thoughtful consideration of strengths and limitations should be exercised when selecting a data system to answer injury-related research questions. Comparisons between estimates of various data systems should be interpreted with caution, given fundamental system differences in purpose and population capture. This research provides the scientific community with an updated starting point to assist in matching the data system to surveillance and research questions and can improve the efficiency and quality of injury analyses.
Keyphrases
  • electronic health record
  • big data
  • public health
  • healthcare
  • mental health
  • machine learning
  • drug induced