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International Journal of Telemedicine and Applications
Volume 2017 (2017), Article ID 9185686, 9 pages
Research Article

A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment

1Economics and Management School, Jiujiang University, Jiujiang 332005, China
2Union Hospital, Tongji Medical School, Huazhong University of Science and Technology, Wuhan 430022, China

Correspondence should be addressed to Yang Sun; moc.361@1588nusyhtac

Received 30 September 2016; Revised 15 December 2016; Accepted 16 January 2017; Published 9 February 2017

Academic Editor: Xi Zhao

Copyright © 2017 Hongyi Mao and Yang Sun. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In recent decades, information technology in healthcare, such as Electronic Medical Record (EMR) system, is potential to improve service quality and cost efficiency of the hospital. The continuous use of EMR systems has generated a great amount of data. However, hospitals tend to use these data to report their operational efficiency rather than to understand their patients. Base on a dataset of inpatients’ medical records from a Chinese general public hospital, this study applies a configuration analysis from a managerial perspective and explains inpatients management in a different way. Four inpatient configurations (valued patients, managed patients, normal patients, and potential patients) are identified by the measure of the length of stay and the total hospital cost. The implications of the finding are discussed.