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Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model
BACKGROUND: The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question. METHODS: Texas hospital data obtained from the American Hospital Association (AHA) for 2...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820871/ https://www.ncbi.nlm.nih.gov/pubmed/27048305 http://dx.doi.org/10.1186/s12913-016-1367-9 |
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author | Lee, Jinhyung Choi, Jae-Young |
author_facet | Lee, Jinhyung Choi, Jae-Young |
author_sort | Lee, Jinhyung |
collection | PubMed |
description | BACKGROUND: The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question. METHODS: Texas hospital data obtained from the American Hospital Association (AHA) for 2007–2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals. RESULTS: We found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100 % increase in health IT expenditure would result in an 8 % increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue. CONCLUSION: Increased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals. |
format | Online Article Text |
id | pubmed-4820871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48208712016-04-06 Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model Lee, Jinhyung Choi, Jae-Young BMC Health Serv Res Research Article BACKGROUND: The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question. METHODS: Texas hospital data obtained from the American Hospital Association (AHA) for 2007–2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals. RESULTS: We found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100 % increase in health IT expenditure would result in an 8 % increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue. CONCLUSION: Increased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals. BioMed Central 2016-04-05 /pmc/articles/PMC4820871/ /pubmed/27048305 http://dx.doi.org/10.1186/s12913-016-1367-9 Text en © Lee and Choi. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lee, Jinhyung Choi, Jae-Young Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title | Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title_full | Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title_fullStr | Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title_full_unstemmed | Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title_short | Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model |
title_sort | texas hospitals with higher health information technology expenditures have higher revenue: a longitudinal data analysis using a generalized estimating equation model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820871/ https://www.ncbi.nlm.nih.gov/pubmed/27048305 http://dx.doi.org/10.1186/s12913-016-1367-9 |
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