Abstract
The study incorporates the semantic web to achieve the synchronization for medical rules. Web Ontology Language (OWL) is first used as the knowledge model and a medical rule is viewed as a class of medical statuses representing knowledge of medical rules. A classification is then applied to decide the legality of medical usage. The characteristics of the proposed solution are manifold. OWL supports the syntax of class inherences, so it can develop a cognitive economy and shorten the encoding length of medical rules. OWL syntax can represent the styles of most medical rules, so the automatic synchronization system only need one document and one inference engine to handle all medical rules. OWL simplifies the design of the medical rules of National Health Insurance automatically, and synchronizes the design to hospital information systems. Therefore, doctors’ ordering systems rapidly reflects the changes of medical rules.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Skalak DB (1989) Taking advantage of models for legal classification. In Proceedings of the 2nd international conference on artificial intelligence and law, pp 234–241
Lau F, Kuziemsky C, Price M, Gardner J (2010) A Review on systematic reviews of health information system studies. J Am Med Inform Assoc 17(6):637–645
Ouziri M, Verdier D (2008) Semantic data integration and navigation in Web-based medical records. Inform Health Soc Care 33(3):191–210
Stanfill MH, Williams M, Fenton SH, Jenders RA, Hersh WR (2010) A systematic literature review of automated clinical coding and classification systems. J Am Med Inform Assoc 17(6):646–651
Minsky NH, Ungureanu V (2000) Law-governed interaction: a coordination and control mechanism for heterogeneous distributed systems. ACM Trans Softw Eng Methodol 9(3):274–305
Acknowledgment
This research is supported in part by the National Science Council of Republic of China under the contract number NSC102-5111-S-218-001.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Chang, YH., Chien, LK.C., Fang, RJ. (2015). The Design of a Medical Rules Synchronization System. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_48
Download citation
DOI: https://doi.org/10.1007/978-94-017-9618-7_48
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9617-0
Online ISBN: 978-94-017-9618-7
eBook Packages: EngineeringEngineering (R0)