Accuracy and Efficiency of an Autonomous AI Medical Coding Platform in Emergency Medicine: A Multisite Validation Study
11/5/2024 • Journal of the American Medical Informatics Association (JAMIA) • License: CC BY
Thompson, M.
Abstract
This study validated the performance of an AI-powered autonomous coding platform across five emergency departments. The AI achieved a 94.2% accuracy rate for assigning CPT and ICD-10 codes without human intervention, compared to an 89.8% accuracy rate for human coders. The platform reduced average coding turnaround time from 72 hours to less than 2 minutes, significantly accelerating the billing cycle.
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Clinical implications
An AI platform that reads doctor's notes and automatically assigns billing codes was found to be more accurate than human coders in a study of five emergency departments. It drastically cut down the time needed for coding, helping to reduce administrative delays and improve hospital revenue flow.
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