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A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment
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 r...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322460/ https://www.ncbi.nlm.nih.gov/pubmed/28280506 http://dx.doi.org/10.1155/2017/9185686 |
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author | Mao, Hongyi Sun, Yang |
author_facet | Mao, Hongyi Sun, Yang |
author_sort | Mao, Hongyi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5322460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-53224602017-03-09 A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment Mao, Hongyi Sun, Yang Int J Telemed Appl Research Article 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. Hindawi Publishing Corporation 2017 2017-02-09 /pmc/articles/PMC5322460/ /pubmed/28280506 http://dx.doi.org/10.1155/2017/9185686 Text en Copyright © 2017 Hongyi Mao and Yang Sun. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article Mao, Hongyi Sun, Yang A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title | A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title_full | A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title_fullStr | A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title_full_unstemmed | A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title_short | A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment |
title_sort | way to understand inpatients based on the electronic medical records in the big data environment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322460/ https://www.ncbi.nlm.nih.gov/pubmed/28280506 http://dx.doi.org/10.1155/2017/9185686 |
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