Radiologic Technologists and Technicians
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Take x-rays and CAT scans or administer nonradioactive materials into patient's bloodstream for diagnostic or research purposes. Includes radiologic technologists and technicians who specialize in other scanning modalities.
The occupation "Radiologic Technologists and Technicians" has an automation risk estimated at 43.7%, closely aligned with the base risk of 44.2%. This moderate level of risk is primarily due to the significant proportion of the job that involves highly routine and procedural tasks. For example, the most automatable responsibilities include positioning imaging equipment and adjusting controls according to defined exam specifications, as well as positioning patients on examining tables to achieve the correct anatomical views required by physicians. Additionally, routine activities like monitoring patients and reporting any abnormal reactions are structured processes that could be increasingly managed by emerging technologies, such as robotic arms, automated imaging systems, and advanced patient monitoring software. Despite the prevalence of these repeatable tasks, there are key responsibilities within the role that resist automation. The top three most resistant tasks involve higher-level cognitive skills and interpersonal judgment, such as offering training or professional feedback to students or colleagues about improved imaging techniques. Supervisory duties—including budget development, departmental coordination, supply purchases, and work schedule preparation—rely on multifaceted decision-making and leadership, which current AI systems are not fully equipped to replicate. Furthermore, successful collaboration with clerical personnel and other technologists often demands effective communication, adaptability, and context-specific judgments, highlighting aspects of the job where human skills remain essential. Another crucial barrier to automation for radiologic technologists and technicians relates to specific bottleneck skills, chiefly originality, measured at low levels (2.3% and 2.1%). Jobs requiring originality involve innovative problem-solving and nonroutine thinking—qualities that are difficult to encode within automated systems. While machines may streamline and optimize mechanical or repetitive parts of image capturing, the nuanced evaluation of imaging quality and implementation of complex workflows still require a human touch. As such, the future of automation in this field will likely involve a combination of advanced technologies handling routine tasks, while technologists increasingly focus on supervision, training, and complex diagnostic responsibilities that leverage their creative and interpersonal expertise.