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

Michael Schnell 1 Sophie Couffignal 1 Jean Lieber 2 Stéphanie Saleh 1 Nicolas Jay 2
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
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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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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