Abstract
Electronic Health Record system has been widely used in different occasions such as hospitals, health welfare institutions and education institutions. However, the data structures of health information are usually very complicated and unstructured. It is hardly to deal with the health data for the general relational databases. We build a Nosql-based EHR system named Shanghai University Electronic Health Record System (SHU-EHR) for health data management and analysis with MongoDB. The experiments demonstrate that the performance of SHU-EHR is far better than the SQL-based EHR system.
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References
Gunter, T.D., Terry, N.P.: The emergence of national electronic health record architectures in the United States and Australia: models, costs, and questions. Journal of Medical Internet Research (2005)
Lowry, S.Z., Quinn, M.T., Ramaiah, M., et al.: Technical evaluation, testing and validation of the usability of electronic health records. National Institute of Standards and Technology (2012)
Baron, R.J., Fabens, E.L., Schiffman, M., et al.: Electronic health records: just around the corner? Or over the cliff? Annals of Internal Medicine (2005)
Tang, P.C., Ash, J.S., Bates, D.W., et al.: Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association (2006)
Cerner, http://www.cerner.com/
McKesson, http://www.mckesson.com/
eClinicalWorks, http://www.eclinicalworks.com/
Allscripts altenahealth, https://www.allscripts.com/international1.html
MongoDB, https://www.mongodb.org/
Truica, C.O., Boicea, A., Trifan, I.: CRUD Operations in MongoDB. Adv. Intel. Sys. Res., 41 (2013)
Cogean, D.I., Fotache, M., Greavu-Serban, V.: Nosql in Higher Education. A Case Study. In: Int. Conf. Inform. Econ. (2013)
Yang, J.H., Ping, W.Y., Liu, L., Hu, Q.P.: Memcache and MongoDB based GIS Web Service. In: Second International Conference on Cloud and Green Computing / Second International Conference on Social Computing and its Applications, Cgc/Sca 2012 (2012)
Dykstra, D.: Comparison of the Frontier Distributed Database Caching System to NoSQL Databases. In: International Conference on Computing in High Energy and Nuclear Physics 2012, Chep 2012 (2012)
ASP.NET Identity, http://www.asp.net/identity
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© 2014 Springer-Verlag Berlin Heidelberg
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Xu, W., Zhou, Z., Zhou, H., Zhang, W., Xie, J. (2014). MongoDB Improves Big Data Analysis Performance on Electric Health Record System. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_36
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DOI: https://doi.org/10.1007/978-3-662-45283-7_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45282-0
Online ISBN: 978-3-662-45283-7
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