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http://dx.doi.org/10.6109/jkiice.2014.18.1.149

A Study of Smart Healthcare Services Software Quality Satisfaction Rating System based on QoS(Quality of Service) Measurement Model  

Noh, Si-Choon (Department of Computer Science, Namseoul University)
Song, Eun-Jee (Department of Computer Science, Namseoul University)
Abstract
Quality is the value that can be measured by observing the characteristics of the service quantity or quality. QoS is predictable service traffic to a minimum requirements what passed in network. In the course of Smart Medical Information System Development there exist some functional requirements to satisfy quality objectives. The functional smart domains of healthcare information systems consists of Patient Module, a smart sensing and communication domain, RFID Tag Readers and the behavior domain, Homecare Station Domain, Clinical Station. This study is performed on evaluation methodology of u-health service satisfaction quality of each domain. In this paper QoS metrics and the quality of medical information requirements, functional requirements are separated by. Quality parameters consists of six items and the functional requirements and quality requirements 20 details the five items and consist of 20 detailed items. On this study the quality evaluation methodology of Korean smart health information quality assessment matrix 2 - factor evaluation method is proposed. The overall framework of this paper is organizing the specific criteria of quality of medical information system and modeling quality evaluation process under all smart environment.
Keywords
QoS(Quality of Service); Measurement Model; Smart Healthcare Services; Software Quality; Satisfaction Rating;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Cho Bong Kwan․Jung Jae Il, "Policy-Based QoS Control Management System for VoIP Service", Journal of Korea Convergence Security Association, Vol. 10,No3, pp.70-72, 2010.9.   과학기술학회마을
2 SiChoon Noh, "A Study of Security QoS(Quality of Service) Measurement Methodology for Network Security Efficiency", Journal of Korea Convergence Security Association, Vol. 10,No3, pp.40-41, 2011.1.
3 SANDEEP K. S. GUPTA, "Safe and Dependable Bio- Sensor Networking for Pervasive Healthcare",Intelligent Mobile & Pervasive Applications & Communication Technologies (iMPACT) Lab REPORT, 2008.10.
4 L. Schwiebert, S. K. S. Gupta, J. Weinmann et al., Research "Challenges in Wireless Networks of Biomedical Sensors", The Seventh Annual International Conference on Mobile Computing and Networking, pp.151-165, Rome Italy, July 2001.
5 Q. Tang, N. Tummala, S. K. S. Gupta, and L. Schwiebert, "Communication scheduling to minimize thermal effects of implanted biosensor networks in homogeneous tissue", Proc of IEEE Transactions of Biomedical Engineering, July 2005.
6 ITU-T Rec. Y.1221,"Traffic Control and Congestion Control inIPBased Networks,"March, 2002.
7 K. Venkatasubramanian, and S.K.S. Gupta, "Security For Pervasive Health Monitoring Sensor Applications", To Appear in Proc of 4th Intl. Conf. on Intelligent Sensing and Information Processing (ICISIP), December 2006.
8 S.K.S Gupta, T. Mukherjee, K. Venkatasubramanian, "Criticality Aware Access Control Models for Pervasive Applications", In Proc of IEEE Pervasive Computing, 2006.
9 K. Venkatasubramanian, G. Deng, T. Mukherjee, J. Quintero, V Annamalai and S. K. S. Gupta, "Ayushman: A Wireless Sensor Network Based Health Monitoring Infrastructure and Testbed", In Proc. of IEEE DCOSS, June 2005.
10 Victor Shnayder, Bor-rong Chen, Konrad Lorincz, Thaddeus R. F. Fulford-Jones, and Matt Welsh, "Sensor Networks for Medical Care", Harvard University Technical Report TR-08-05, April 2005.
11 Konrad Lorincz, David Malan, Thaddeus R. F. Fulford- Jones, Alan Nawoj, Antony Clavel, Victor Shnayder, "Sensor Networks for Emergency Response : Challenges and Opportunities", In IEEE Pervasive Computing, Special Issue on Pervasive Computing for First Response, Oct-Dec 2004.