The Survey of Occupational Injuries and Illnesses (SOII) collects hundreds of thousands of narratives describing cases of work-related injury and illness annually. Coders manually assigned classifications for worker occupation, nature of injury, part of body, event or exposure, source, and secondary source for each case until 2012, when the Occupational Safety and Health Statistics (OSHS) program developed machine-learning autocoders to make some assignments. Use of these autocoders subsequently expanded and coded 85% of all SOII elements for reference year (RY) 2019. This gradual increase occurred by adapting the selection criterion based on careful monitoring of the processes. This monitoring allowed the coding to expand to all six elements coded (occupation, nature, part, event, source, secondary source).