Audiologists
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Assess and treat persons with hearing and related disorders. May fit hearing aids and provide auditory training. May perform research related to hearing problems.
The automation risk for the occupation "Audiologists" is assessed at 42.5%, with a base risk of 43.2%. This moderate risk percentage suggests that while some aspects of an audiologist's work could be automated, significant portions remain reliant on human expertise and judgment. Key drivers of automation in this field include increased capabilities in artificial intelligence for managing patient documentation and diagnostic processes, as well as improved technology for dispensing and maintaining assistive hearing devices. The top three most automatable tasks for audiologists are closely linked to routine procedures and data management. Maintaining patient records throughout all stages of evaluation and treatment can be effectively handled by sophisticated electronic health record systems and automation software. Evaluating hearing and balance disorders, while partially reliant on human interpretation, increasingly leverages automated diagnostic tools and algorithms capable of analyzing test results. Similarly, fitting, dispensing, and repairing hearing aids is becoming more streamlined with technological advancements, enabling automation of standard adjustments and repairs. In contrast, the most automation-resistant tasks require creativity, adaptability, and complex human interaction. Developing and supervising hearing screening programs often demands original solutions tailored to specific communities or populations, a task computers still struggle with. Measuring noise levels and managing hearing conservation programs in various settings also require real-world judgment and situational adaptability. Furthermore, engaging in marketing activities, such as creating campaigns to promote private practices, relies heavily on originality—a skill where humans still have a notable edge. With bottleneck skills like originality only being automatable at low levels (3.1% and 3.0%), significant human input remains critical in these domains, helping anchor the occupation's automation risk below the 50% threshold.