ezDI, a computer-assisted coding technology provider, has released a clinical documentation improvement application built with natural language processing capabilities.
The solution, ezCDI, is designed to analyze digitized healthcare information to identify documentation gaps. Features include computational linguistics and semantic web and machine learning to improve charge capture and more accurately code the complexity of hospitals' respective patient populations.
For more information, ezDI's website can be accessed here.
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