Availability Strategy of Medical Information for Telemedicine Services

Authors: Rozo D. Juan Felipe, Ramírez L. Leonardo Juan, Puerta A. Gabriel Alberto

Abstract:

The telemedicine services require correct computing resource management to guarantee productivity and efficiency for medical and non-medical staff. The aim of this study was to examine web management strategies to ensure the availability of resources and services in telemedicine so as to provide medical information management with an accessible strategy. In addition, to evaluate the quality-of-service parameters, the followings were measured: delays, throughput, jitter, latency, available bandwidth, percent of access and denial of services based of web management performance map with profiles permissions and database management. Through 24 different test scenarios, the results show 100% in availability of medical information, in relation to access of medical staff to web services, and quality of service (QoS) of 99% because of network delay and performance of computer network. The findings of this study suggest that the proposed strategy of web management is an ideal solution to guarantee the availability, reliability, and accessibility of medical information. Finally, this strategy offers seven user profile used at telemedicine center of Bogota-Colombia keeping QoS parameters suitable to telemedicine services.

Keywords: Availability, medical information, QoS, strategy, telemedicine.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2643810

References:

[1] W. Cheng, M. Zhou, B. Tong, J. Zhu, "Optimizing small file storage process of the HDFS which based on the indexing mechanism", (Cloud Computing and Big Data Analysis 2017 IEEE) 2nd International Conference on Chengdu, China. 2017 pp. 44-48, 2017.
[2] S. Dinorah. “El servicio de referencia virtual en la gestión de información”. (acimed) 2003, vol. 11, no 2, p. 7-8.
[3] J. Li, K. Link, & J. Wang. “Design of the mass multimedia files storage architecture based on Hadoop”. (In Computer Science & Education ICCSE), 2013 8th International Conference on pp. 801-804.
[4] A. Sahai,, V. Machiraiu, M. Sayal, A. Van Moorsel, F. Casati . “Automated SLA monitoring for web services. In International Workshop on Distributed Systems: Operations and Management” 2002 October. Springer, Berlin, Heidelberg. pp. 28-41.
[5] Departamento Nacional de Planeación. April, 2018 Documeto CONPES 3920. Bogota. Consejo Nacional de Política y Económica Social. República de Colombia
[6] L. Gastin. “Health information privacy”. 1994 USA. JAMA Cornell L. Rev Vol. 80, p 451.
[7] Janine Hiller, et al. “Privacy and security in the implementation of 100.00%health information technology” (electronic health records) 2011. US and EU compared. BUJ Sci. & Tech. L., vol. 17, p. 1.
[8] Superintendencia de Industria y Comercio. “Manual de Usuario del Registro Nacional de Bases de Datos RNBD”. Noviembre 2016. Colombia.
[9] Andersen, Tavs Folmer, et al. The Danish National Hospital Register. A valuable source of data for modern health sciences. Danish medical bulletin, 1999, vol. 46, no 3, p. 263-268.