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

Joint Authors

Mao, Hongyi
Sun, Yang

Source

International Journal of Telemedicine and Applications

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-09

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Mao, Hongyi& Sun, Yang. 2017. A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment. International Journal of Telemedicine and Applications،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1169761

Modern Language Association (MLA)

Mao, Hongyi& Sun, Yang. A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment. International Journal of Telemedicine and Applications No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1169761

American Medical Association (AMA)

Mao, Hongyi& Sun, Yang. A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment. International Journal of Telemedicine and Applications. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1169761

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1169761