Improved efficiency of coding systems with health information technology

Abstract 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 h...

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Autores principales:	Jinhyung Lee, Jae-Young Choi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/28df6a8f4c854ca482d9d160e8c1aac3
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spelling	oai:doaj.org-article:28df6a8f4c854ca482d9d160e8c1aac32021-12-02T17:16:05ZImproved efficiency of coding systems with health information technology10.1038/s41598-021-89869-y2045-2322https://doaj.org/article/28df6a8f4c854ca482d9d160e8c1aac32021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89869-yhttps://doaj.org/toc/2045-2322Abstract 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.Jinhyung LeeJae-Young ChoiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jinhyung Lee Jae-Young Choi Improved efficiency of coding systems with health information technology
description	Abstract 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.
format	article
author	Jinhyung Lee Jae-Young Choi
author_facet	Jinhyung Lee Jae-Young Choi
author_sort	Jinhyung Lee
title	Improved efficiency of coding systems with health information technology
title_short	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_sort	improved efficiency of coding systems with health information technology
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/28df6a8f4c854ca482d9d160e8c1aac3
work_keys_str_mv	AT jinhyunglee improvedefficiencyofcodingsystemswithhealthinformationtechnology AT jaeyoungchoi improvedefficiencyofcodingsystemswithhealthinformationtechnology
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Improved efficiency of coding systems with health information technology

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