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Combining Web-Service and Rule-Based Systems to Implement a Reliable DRG-Solution

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10439))

Abstract

Diagnosis-Related Groups (DRG) is a Patient Classification System that allows classifying inpatients stays among well-known groups in order to estimate the appropriate fees to refund hospitals. Each DRG solution has its own grouping approach. Using data gathered from the Hospital Information System (HIS), it assigns to an inpatient stay the appropriate group called DRG. In this paper, using both Web Service technology and Rule Based Expert System, we develop a rule-based system as a service for handling the grouping solution. This approach provides for hospitals and public/private stockholders the possibility to avoid the stringent software requirements on their local IT infrastructure by reusing a shared and distributed DRG solution. Moreover, combining these two technologies enhance knowledge maintenance and improve its reusability.

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Notes

  1. 1.

    International classification of diseases.

  2. 2.

    “Drools Documentation” [Online] [Cited: 03. 18. 2017] https://docs.jboss.org/drools/release/6.0.1.Final/drools-docs/html_single/.

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Acknowledgments

We would like to thank the Professor Director General of Central Hospital of Army for his support during the achievement of this work.

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Correspondence to Idir Amine Amarouche , Lydia Rabia or Tayeb Kenaza .

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Amarouche, I.A., Rabia, L., Kenaza, T. (2017). Combining Web-Service and Rule-Based Systems to Implement a Reliable DRG-Solution. In: Benslimane, D., Damiani, E., Grosky, W., Hameurlain, A., Sheth, A., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2017. Lecture Notes in Computer Science(), vol 10439. Springer, Cham. https://doi.org/10.1007/978-3-319-64471-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-64471-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64470-7

  • Online ISBN: 978-3-319-64471-4

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