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Agent-based Completion for Collecting Medical Note Parameters

Published: 25 September 2019 Publication History

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.

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cover image ACM Conferences
HAI '19: Proceedings of the 7th International Conference on Human-Agent Interaction
September 2019
341 pages
ISBN:9781450369220
DOI:10.1145/3349537
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2019

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Author Tags

  1. agent-based completion
  2. cooperation
  3. medical note
  4. narrative text
  5. parameter-text pairs

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  • Poster

Funding Sources

  • JICA Innovative Asia Scholarship

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HAI '19
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HAI '19 Paper Acceptance Rate 25 of 68 submissions, 37%;
Overall Acceptance Rate 121 of 404 submissions, 30%

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