An artificial intelligence tool that flags clinical documentation teams with information about wrongly coded or misspelled data in EHRs to correct them is now available, according to a June 1 press release.
The tool, called DxPrime, was developed by health tech startup Aesop Technologies to reduce the number of errors made in patient health records, which can often lead to claim denials down the line. The DxPrime machine learning tool was trained on 3.2 billion patient visits and uses this knowledge to predict and correct missed diagnoses.
"Physicians, CDI team, and coders have to spend a lot of time poring through medical records to find the key clinical diagnoses among the vast amount of information available," said Jim Long, CEO of Aesop. "After that, they have to follow a series of inefficient steps on the computer to complete the input process, and search functionality for ICD codes often is not helpful. When using DxPrime, we have helped physicians often notice they did not correctly code complications"