Interpretation of Best Medical Coding Practices by Case-Based Reasoning - A User Assistance Prototype for Data Collection for Cancer Registries - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

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

Michael Schnell
Sophie Couffignal
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Jean Lieber
Nicolas Jay

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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Dates and versions

hal-01907093 , version 1 (28-10-2018)

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  • HAL Id : hal-01907093 , version 1

Cite

Michael Schnell, Sophie Couffignal, Jean Lieber, Stéphanie Saleh, Nicolas Jay. Interpretation of Best Medical Coding Practices by Case-Based Reasoning - A User Assistance Prototype for Data Collection for Cancer Registries. JWAIH 2018 - Joint Workshop on Artificial Intelligence in Health, Jul 2018, Stockholm, Sweden. ⟨hal-01907093⟩
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