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Chatbot Implementation for ICD-10 Recommendation System

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

ICD-10 coding becomes an essential process to transform descriptions of medical diagnoses and procedures into universal medical code numbers. Because there are a large number of the ICD-10 codes, this process needs an expert or an experienced staff to proceed. However, insufficient of the staffs in this area makes this task become a difficulty for general public health staff. Therefore, a recommendation system by using chatbot technology is proposed in this work. This system is implemented by using a messaging application with auxiliary Natural Language Processing (NLP) library. The system was compared with the conventional ICD-10 application by using Analytic Hierarchy Process (AHP). The evaluation result shows that the proposed chatbot can perform an effective solution for selecting ICD-10 code. In addition, it also shows that the proposed chatbot is preferable to be applied in the ICD-10 application.

Original languageEnglish
Title of host publication2019 International Conference on Engineering, Science, and Industrial Applications, ICESI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728121741
DOIs
Publication statusPublished - Aug 2019
Event2019 International Conference on Engineering, Science, and Industrial Applications, ICESI 2019 - Tokyo, Japan
Duration: 22 Aug 201924 Aug 2019

Publication series

Name2019 International Conference on Engineering, Science, and Industrial Applications, ICESI 2019

Conference

Conference2019 International Conference on Engineering, Science, and Industrial Applications, ICESI 2019
Country/TerritoryJapan
CityTokyo
Period22/08/1924/08/19

Keywords

  • Chatbot
  • ICD-10
  • Natural Language Processing
  • Recommendation System

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