Agent-based completion for collecting medical note parameters

Lukman Heryawan, Purnomo Husnul Khotimah, Goshiro Yamamoto, Osamu Sugiyama, Shusuke Hiragi, Kazuya Okamoto, Tomohiro Kuroda

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

Abstract

In this paper, we present an agent-based completion that cooperates with a physician to optimize parameter-text pairs collection from a medical note. Currently, in hospitals, there is a medical coding process, which collects certain parameter-text pairs from the medical note's narrative text. The process starts with categorizing the text into certain parameter-text pairs. Then, the collected pairs are studied by the coders to produce correct medical codes. However, since the physicians may not aware of the coders' requirements, the medical coding process is quite problematic, such as lack of parameter-text pairs. To address this problem, we propose an agent-based completion, which represents the coder's view to categorize the text into certain parameter-text pairs and recommend the parameters to be filled. This paper shows a basic design of the agent and the background technologies to support the completion system.

Original languageEnglish
Title of host publicationHAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages244-246
Number of pages3
ISBN (Electronic)9781450369220
DOIs
Publication statusPublished - 25-09-2019
Externally publishedYes
Event7th International Conference on Human-Agent Interaction, HAI 2019 - Kyoto, Japan
Duration: 06-10-201910-10-2019

Publication series

NameHAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction

Conference

Conference7th International Conference on Human-Agent Interaction, HAI 2019
Country/TerritoryJapan
CityKyoto
Period06-10-1910-10-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

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