Intelligent Database Systems Lab

Presenter : JHOU, YU-LIANG

Authors : Sheng-Tun Li , Chih-Chuan Chen , Fernando Huang

2011, AIM

Conceptual-driven classification for coding advise in health insurance

reimbursement

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodology Experimental ResultConclusionsComments

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Motivation• In Taiwanese hospitals, discharge summaries are analyzed by

disease classification specialists .

• However , when workloads are heavy or the analyzing is being done by novice personnel, the process may lead to incorrect reimbursement and economic loss.

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ObjectivesThis paper developed an ICD code advisory system (ICD-AS) that performs conceptual clustering of discharge summaries , improve the correctness and quality of the process

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System Architecture

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Preprocess

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Feature extraction

Term weighting :

Attribute selection :

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Fuzzy formal concept analysis

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Evaluation

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Experiments result

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System evaluation

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System evaluation

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System evaluation

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Conclusions

The method help disease classification specialists

understanding of the relationships between medical

terms , reducing the possibility of error that may

decrease monetary income for hospitals.

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CommentsI think the system effective support specialists to classify and reducing the appear of error.

Applications - Text mining - Information retrieval