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This study describes MappICNP, an automatic method for mapping between Brazilian Portuguese clinical narratives in free text and International Classification for Nursing Practice (ICNP) concepts. It's composed of six natural language processing rules, related to terms comparison. A set of 2,638 terms extracted from hospitals nursing notes was mapped. MappICNP helps to map 1,607 terms, 113 less than a manual approach. The results demostrate its advantages in minimizing the time spent and reducing the scope of analysis through candidate terms of ICNP.

The present study aims to validate 15 terms and definitions for submission to the International Classification for Nursing Practice ICNP ® . The terms were extracted from 148,299 narratives of the evolution of nursing care, free texts from Electronic Health Records, in a Brazilian university hospital. These terms were mapped with ICNP ® 2013 for identifying differences, similarities and nonexistent terms. Definitions were made for the 15 most frequent nonexistent terms. Five Brazilian experts evaluated the settings through the Content Validity Index (CVI). Validation by 68 clinical practice experts is in progress. 2,638 different terms have been identified. After mapping and analysis, 15 terms were selected. Despite the importance of experts' assessment, the terminology is used by nurses in their daily practice. The classification of concepts is essential for the development of standards for Electronic Health Records.