The Journal of Occupational and Environmental Medicine just awarded the article “Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities, Ohio, 2001 to 2011” with an Adolph G. Kammer Merit in Authorship Award for the best article published in their journal last year. The article details how researchers used artificial intelligence (AI) or machine learning methods to successfully auto-code over 1 million workers compensation claims. Essentially, researchers ”taught” a computer to use an extensive and complicated data set to answer the research question “What caused this injury?” Researchers from the National Institute for Occupational
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