TY - JOUR
T1 - Improving medical coding with case-based reasoning - Evaluation for cancer registries
AU - Schnell, Michael
AU - Couffignal, Sophie
AU - Lieber, Jean
AU - Jay, Nicolas
N1 - Funding Information:
Supported by the Fondation Cancer (http://www.cancer.lu). The authors wish to thank the anonymous reviewers for their helpful comments.
Publisher Copyright:
© Copyright 2019 for this paper by its authors.
PY - 2019
Y1 - 2019
N2 - Providing a comparable and consistent description of any entity is a difficult task. Vocabulary, semantics and objectives need to be very clearly defined and followed. The same can be said about cancer registries. They are an essential element in the fight against cancer. Among the main tasks of these registries is the data collection and coding process of cancer cases. To ensure comparable and consistent data, complex international standards and numerous best coding practices have been defined. Unfortunately this complexity can easily overwhelm operators, which are the people in charge of data collection and coding. While coding experts can help operators in their job, this represents a great burden on their precious time. To assist operators in their task and reduce the burden on coding experts, a coding assistant relying on arguments was designed and implemented. This system provides answers and a partial explanation, using arguments in favor and against answers. In this paper, a first evaluation of this system is presented, testing the system on real topography questions asked by operators.
AB - Providing a comparable and consistent description of any entity is a difficult task. Vocabulary, semantics and objectives need to be very clearly defined and followed. The same can be said about cancer registries. They are an essential element in the fight against cancer. Among the main tasks of these registries is the data collection and coding process of cancer cases. To ensure comparable and consistent data, complex international standards and numerous best coding practices have been defined. Unfortunately this complexity can easily overwhelm operators, which are the people in charge of data collection and coding. While coding experts can help operators in their job, this represents a great burden on their precious time. To assist operators in their task and reduce the burden on coding experts, a coding assistant relying on arguments was designed and implemented. This system provides answers and a partial explanation, using arguments in favor and against answers. In this paper, a first evaluation of this system is presented, testing the system on real topography questions asked by operators.
KW - Cancer registries
KW - Coding standards
KW - Decision support
KW - Interpretation of best practices
KW - Interpretive case-based reasoning
KW - User assistance
UR - http://www.scopus.com/inward/record.url?scp=85082305405&partnerID=8YFLogxK
UR - http://ceur-ws.org/Vol-2567/
M3 - Conference article
AN - SCOPUS:85082305405
SN - 1613-0073
VL - 2567
SP - 98
EP - 107
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 27th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2019
Y2 - 8 September 2019 through 12 September 2019
ER -