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First, it was robotic process automation. Then machine learning and natural language processing. These technologies continue to shape the medical coding profession in unprecedented ways, increasingly tasking coders with novel responsibilities like auditing and validating codes rather than assigning them directly.
More recently, generative artificial intelligence (AI)—specifically the application of large language models (LLMs)—has emerged as the next wave in technology that some experts hope will improve coding productivity and accuracy during a time when coding rules are more complex than ever before, and medical coder shortages continue to plague the industry.
However, there’s a big caveat: Several proprietary and open source LLMs in their current form aren’t exactly ready for prime time.
Opportunities, Limitations of LLMs in Medical...
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