That has to be a misprint – that's darn near impossible!
Lynn A. Wall, MBA, RHIT, CCS
Interim Coding Supervisor
M-F 8:00 a.m. – 4:00 p.m. (EST)
Thank you for your comments and input on this topic. We have seen these kind of productivity gains with our customers however, you are correct, these gains are different for each organization based on a number of criterion. Abstracting, querying and other common coder tasks can all be performed within our CAC, eliminating the need to toggle between multiple systems. Because CDI can also be integrated within our CAC, coders have the beauty of knowing what the CDI specialist did while the patient was in house. These features, in addition to many other tools, have allowed coders to significantly increase their productivity and achieve accurate coding outcomes.
As for the accuracy of code suggestions, traditional CAC technologies use natural language processing (NLP) to scan the document and provide code suggestions. However, NLP has its limitations-it is rules-based and dependent on the context of the documentation. If the rules aren't written to accommodate the way documentation is written, inaccurate code suggestions may be provided. We, on the other hand, take NLP a step further and utilize artificial intelligence and machine learning to enable far more accurate code suggestions. Essentially we use the AI to analyze documentation and apply coding rules and guidelines from there. The AI is able to understand when it is appropriate to combine codes, how to understand negations etc. Then the machine learning learns from every single experience performed within CAC and overlays those experiences to consistently suggest accurate codes. The more data and information fed through CAC, the more it will learn, and the more accurate it will be for coders to review and validate.
I hope this information is helpful. If you would like to learn more about how this works, feel free to reach out. I would also be more than happy to put you in touch with one of our current customers to confirm these statistics.Thank you!