Director of Coding Education
In a world of rapidly growing technology, Artificial Intelligence (AI) is the new buzz word. But how can you stay informed, educated, and make the right choices for your radiology practice? Understanding AI in radiology coding is crucial for keeping up with technological advancements.
The Data Science Institute of the American College of Radiology has received positive feedback from multiple healthcare settings and confirmed that AI tools “significantly contribute to clinical efficacy and efficiency when effectively integrated.” In a recent blog they go on to say, “larger practices currently have a higher adoption rate, AI algorithms have the potential to bridge the gap in areas with a shortage of radiologists, thereby extending their benefits across a wider range of healthcare environments.” So what does this mean for your practice? Specifically, the rise of AI in radiology coding could help practices handle increasing demands for both accuracy and efficiency.
History of New Technology Adoption in Radiology
Over the last few decades, the adoption of new technologies in healthcare has come a long way. Advancements that were once considered experimental are now the gold standard of medical practice. This is no different in radiology, however, progress did not come easy. The adoption of new technologies, both from a clinical standpoint and coding and reimbursement, often moved at a slow pace. Because of patient care, the acceptance of new technologies in the clinical space moves a little more quickly, whereas coding and reimbursement often lags behind clinical adoption. As a result, practices can be hesitant to invest in new technology without knowing if or when a CPT code will be developed, and if they will see a return on their investment. In fact, AI in radiology coding has begun to accelerate this adoption process and encourage further advancements.
To read the full article, submit your information below. Moreover, for professionals interested in optimising workflows and accuracy, learning about AI in radiology coding is becoming essential.
