devbytes

I'm not saying it should go without human intervention. It could do a great job at selecting the most likely codes and displaying them to the biller.

I am working on a part search engine for company maintenance teams. We built a search engine that searches parts in real time across a dozen or so vendors (Amazon, eBay, McMaster, etc). We then leverage Chat GPT to extract data from product titles. Part number is one of the key elements we extract. Since part numbers vary greatly across manufacturers, it's difficult to throw something like a regex at it. It has done a really good job so far for data extraction.

Ingesting visit notes and having an LLM help determine what billing codes to use seems like a great use of AI in my opinion.

When billing any insurance company, all procedures are assigned a "code" to standardize the payment/procedure performed across systems.

Some doctor patient visits may fall under multiple codes, so billers will optimize for the highest paying code.