Abstract
In this chapter, we present the detailed process to design a telecommunication and computer technology based platform for monitoring patients in the presence of a comorbid condition. Specifically, we take the monitoring of patients with both atrial fibrillation (AF) and Wolff Parkinsons White (WPW) as an example to clarify this process. As the core of this monitoring platform, a decision support system performs combining of guidelines for different diseases in view of the potential conflict occurring. We present the detailed process of designing this decision support system as well as its implementation. Finally, we analyze the system performance, including both system accuracy and the ability of a system to detect conflicts between different clinical guidelines. Specifically, we take into account the impact of both sensing errors and data entry errors on system performance.
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Acknowledgements
Thanks to Prof. Guixia Kang, Prof. Wojtek Michalowski, Ms. Hoda Daou, Mr. Subhra Mohapatra who worked with us and offered us quite a few fantastic ideas to finish this draft.
This work was partially supported by the Natural Sciences and Engineering Research Council (NSERC) and industrial and government partners, through the Healthcare Support through Information Technology Enhancements (hSITE) Strategic Research Network, and was partially supported by Quebec MDEIE PSR-SiiRi program.
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Lin, D., Labeau, F. (2014). Monitoring Patients in a Comorbid Condition with the Aid of Computerized Decision Support System. In: Koutsouris, DD., Lazakidou, A. (eds) Concepts and Trends in Healthcare Information Systems. Annals of Information Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-06844-2_6
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DOI: https://doi.org/10.1007/978-3-319-06844-2_6
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