The Potential of AI and ChatGPT in Improving Agricultural Injury and Illness Surveillance Programming and Dissemination

Details

• Personal Author:
  Burke R ; Namkoong K ; Pilz M ; Puthoff D ; Weichelt BP
• Description:
  Generative Artificial Intelligence (AI) provides unprecedented opportunities to improve injury surveillance systems in many ways, including the curation and publication of information related to agricultural injuries and illnesses. This editorial explores the feasibility and implication of ChatGPT integration in an international sentinel agricultural injury surveillance system, AgInjuryNews, highlighting that AI integration may enhance workflows by reducing human and financial resources and increasing outputs. In the coming years, text intensive natural language reports in AgInjuryNews and similar systems could be a rich source for data for ChatGPT or other more customized and fine-tuned LLMs. By harnessing the capabilities of AI and NLP, teams could potentially streamline the process of data analysis, report generation, and public dissemination, ultimately contributing to improved agricultural injury prevention efforts, well beyond any manually driven efforts. [Description provided by NIOSH]
• Subjects:
  Agriculture Occupational Health Safety
• Keywords:
  Artificial Intelligence Author Keywords: Agricultural Injury ChatGPT Data Processing Injuries Injury Prevention Surveillance
• ISSN:
  1059-924X
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Maryland ; OSHA Region 3 ; OSHA Region 5 ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  150-154
• Volume:
  29
• Issue:
  2
• NIOSHTIC Number:
  nn:20068926
• Citation:
  J Agromedicine 2024 Apr; 29(2):150-154
• Contact Point Address:
  Bryan P. Weichelt, National Children's Center for Rural and Agricultural Health and Safety, National Farm Medicine Center, Marshfield Clinic Research Institute, 1000 N. Oak Avenue, Marshfield, WI 54449
• Email:
  weichelt.bryan@marshfieldresearch.org
• Federal Fiscal Year:
  2024
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Performing Organization:
  Marshfield Clinic Research Foundation
• Peer Reviewed:
  True
• Start Date:
  20080930
• Source Full Name:
  Journal of Agromedicine
• End Date:
  20250929
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:214e8508d602f235f93f69bcc7d7e9a2e279a72276da3f326571db93959fdefbb0bcdf194bd439f5753ed79bb6d41fe01bb6b5183b65eda465704e0499c0352e
• Download URL:
  https://stacks.cdc.gov/view/cdc/207489/cdc_207489_DS1.pdf
• File Type:
  [PDF - 736.65 KB ]