Case-Based Interpretation of Best Medical Coding Practices—Application to Data Collection for Cancer Registries

  • Michael SchnellEmail author
  • Sophie Couffignal
  • Jean Lieber
  • Stéphanie Saleh
  • Nicolas Jay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10339)


Cancer registries are important tools in the fight against cancer. At the heart of these registries is the data collection and coding process. Ruled by complex international standards and numerous best practices, operators are easily overwhelmed. In this paper, a system is presented to assist operators in the interpretation of best medical coding practices. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system is designed to answer the coding questions from operators and provide an answer associated with a partial explanation for the proposed solution.


Interpretation of best practices Interpretive case-based reasoning Coding standards Cancer registries User assistance Decision support 



The authors wish to thank the anonymous reviewers for their remarks which have helped in improving the quality of the paper. The first author would also like to thank the Fondation Cancer for their financial support.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Michael Schnell
    • 1
    • 2
    Email author
  • Sophie Couffignal
    • 1
  • Jean Lieber
    • 2
  • Stéphanie Saleh
    • 1
  • Nicolas Jay
    • 2
    • 3
  1. 1.Epidemiology and Public Health Research Unit, Department of Population HealthLuxembourg Institute of HealthStrassenLuxembourg
  2. 2.UL, CNRS, Inria, LoriaNancyFrance
  3. 3.Service d’évaluation et d’information médicales, Centre Hospitalier Régional Universitaire de NancyNancyFrance

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