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Improved efficiency of coding systems with health information technology

This study aimed to investigate the impact of health information technology (IT) on the Case Mix Index (CMI). This study was a retrospective cohort study using hospital financial data from the Office of Statewide Health Planning and Development (OSHPD) in California. A total of 309 unique hospitals...

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Autores principales: Lee, Jinhyung, Choi, Jae-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119452/
https://www.ncbi.nlm.nih.gov/pubmed/33986440
http://dx.doi.org/10.1038/s41598-021-89869-y
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author Lee, Jinhyung
Choi, Jae-Young
author_facet Lee, Jinhyung
Choi, Jae-Young
author_sort Lee, Jinhyung
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description This study aimed to investigate the impact of health information technology (IT) on the Case Mix Index (CMI). This study was a retrospective cohort study using hospital financial data from the Office of Statewide Health Planning and Development (OSHPD) in California. A total of 309 unique hospitals were included in the study for 7 years, from 2009 to 2015, resulting in 2,135 hospital observations. The effects of health information technology (IT) on the Case Mix Index (CMI) was evaluated using dynamic panel data analysis to control endogeneity issues. This study found that more health IT adoption could lead to a lower CMI by improving coding systems. Policy makers, researchers, and healthcare providers must be cautious when interpreting the effect of health IT on the CMI. To encourage the adoption of health IT, the cost savings and reimbursement reductions resulting from health IT adoption should be compared. If any profit loss occurs (i.e., the cost savings is less than reimbursement reduction), more incentives should be provided to healthcare providers.
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spelling pubmed-81194522021-05-14 Improved efficiency of coding systems with health information technology Lee, Jinhyung Choi, Jae-Young Sci Rep Article This study aimed to investigate the impact of health information technology (IT) on the Case Mix Index (CMI). This study was a retrospective cohort study using hospital financial data from the Office of Statewide Health Planning and Development (OSHPD) in California. A total of 309 unique hospitals were included in the study for 7 years, from 2009 to 2015, resulting in 2,135 hospital observations. The effects of health information technology (IT) on the Case Mix Index (CMI) was evaluated using dynamic panel data analysis to control endogeneity issues. This study found that more health IT adoption could lead to a lower CMI by improving coding systems. Policy makers, researchers, and healthcare providers must be cautious when interpreting the effect of health IT on the CMI. To encourage the adoption of health IT, the cost savings and reimbursement reductions resulting from health IT adoption should be compared. If any profit loss occurs (i.e., the cost savings is less than reimbursement reduction), more incentives should be provided to healthcare providers. Nature Publishing Group UK 2021-05-13 /pmc/articles/PMC8119452/ /pubmed/33986440 http://dx.doi.org/10.1038/s41598-021-89869-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lee, Jinhyung
Choi, Jae-Young
Improved efficiency of coding systems with health information technology
title Improved efficiency of coding systems with health information technology
title_full Improved efficiency of coding systems with health information technology
title_fullStr Improved efficiency of coding systems with health information technology
title_full_unstemmed Improved efficiency of coding systems with health information technology
title_short Improved efficiency of coding systems with health information technology
title_sort improved efficiency of coding systems with health information technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119452/
https://www.ncbi.nlm.nih.gov/pubmed/33986440
http://dx.doi.org/10.1038/s41598-021-89869-y
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