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2019 | OriginalPaper | Chapter

Interpretation of Best Medical Coding Practices by Case-Based Reasoning—A User Assistance Prototype for Data Collection for Cancer Registries

Authors : Michael Schnell, Sophie Couffignal, Jean Lieber, Stéphanie Saleh, Nicolas Jay

Published in: Artificial Intelligence in Health

Publisher: Springer International Publishing

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Abstract

In the fight against cancer, cancer registries are an important tool. At the heart of these registries is the data collection and coding process. This process is ruled by complex international standards and numerous best practices, which can easily overwhelm (coding) operators. In this paper, a system assisting operators in the interpretation of best medical coding practices and a short evaluation are presented. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system answers coding questions from operators and provides a partial explanation for the proposed solution.

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Title: Interpretation of Best Medical Coding Practices by Case-Based Reasoning—A User Assistance Prototype for Data Collection for Cancer Registries
Authors: Michael Schnell
Sophie Couffignal
Jean Lieber
Stéphanie Saleh
Nicolas Jay
Publisher: Springer International Publishing
Book: Artificial Intelligence in Health
Print ISBN: 978-3-030-12737-4

Electronic ISBN: 978-3-030-12738-1

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-12738-1_14

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