Automatic search of nursing diagnoses

  • Authors:

  • Matías A. Morales;Rosa L. Figueroa;Jael E. Cabrera

  • Affiliations:

  • Electrical Engineering Department, University of Concepción, Chile;Electrical Engineering Department, University of Concepción, Chile;Cardiac Surgery Department, Guillermo Grant Benavente Hospital, Cardiac Surgery ICU, Chile

  • Venue:
  • CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  • Year:
  • 2011

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Abstract

Nursing documentation is all the information that nurses register regarding the clinical assessment and care of a patient. Currently, these records are manually written in a narrative style; consequently, their quality and completeness largely depends on the nurse's expertise. This paper presents an algorithm based on standardized nursing language that searches and sorts nursing diagnoses by its relevance through a ranking. Diagnoses identification is performed by searching and matching patterns among a set of patient needs or symptoms and the international standard of nursing diagnoses NANDA. Three sorting methods were evaluated using 6 utility cases. The results suggest that TF-IDF (83.43% accuracy) and assignment of weights by hit (80.73% accuracy) are the two best alternatives to implement the ranking of diagnoses.