Title: Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients Aims: Natural Language Processing (NLP) offers an automated method to extract data from unstructured free text fields for arthroplasty registry participation. Our objective was to investigate how accurately NLP can be used to extract … Continue reading CloudMedx NLP algorithm 96.3% accurate for unstructured data extractions –Published by USCF