A coding support system for the ICD-9-CM Standard

Maria Teresa Chiaravalloti, Roberto Guarasci, Vincenzo Lagani, Erika Pasceri, Roberto Trunfio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


The 9th revision of the International Classification of Diseases (as modified in the United States, also known as ICD-9-CM) is one of the most widely used classification system for clinical problems and procedures. Electronic health record systems usually require physicians to encode diagnoses or medical procedures through appropriate ICD-9-CM codes. Since ICD-9-CM is constituted by more than 13,000 diagnosis and 3,500 procedure codes, clearly the coding procedure is a non-trivial task. In this paper we present a coding support system for assisting physicians in the assignment of ICD-9-CM codes. The proposed system is based on tools for natural language processing and text-searches on knowledge bases. It analyzes a short medical text and then returns the list of ICD-9-CM codes that are most likely to be associated with the given text. A set of numerical experiments were carried out in order to assess the reliability and quality of the proposed support system. The results of the experiments show that the support system has an accuracy of 92%, largely improving physicians' average performances.
Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Print)9781479957019
StatePublished - Mar 2 2014
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23


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