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Association between Health Information Technology and Case Mix Index
OBJECTIVES: Health information technology (IT) can assist healthcare providers in ordering medication and adhering to guidelines while improving communication among providers and the quality of care. However, the relationship between health IT and Case Mix Index (CMI) has not been thoroughly investi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688032/ https://www.ncbi.nlm.nih.gov/pubmed/29181242 http://dx.doi.org/10.4258/hir.2017.23.4.322 |
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author | Park, Young-Taek Lee, Junsang Lee, Jinhyung |
author_facet | Park, Young-Taek Lee, Junsang Lee, Jinhyung |
author_sort | Park, Young-Taek |
collection | PubMed |
description | OBJECTIVES: Health information technology (IT) can assist healthcare providers in ordering medication and adhering to guidelines while improving communication among providers and the quality of care. However, the relationship between health IT and Case Mix Index (CMI) has not been thoroughly investigated; therefore, this study aimed to clarify this relationship. METHODS: To examine the effect of health IT on CMI, a generalized estimation equation (GEE) was applied to two years of California hospital data. RESULTS: We found that IT was positively associated with CMI, indicating that increased IT adoption could lead to a higher CMI or billing though DRG up-coding. This implies that hospitals' revenue could increase around $40,000 by increasing IT investment by 10%. CONCLUSIONS: The positive association between IT and CMI implies that IT adoption itself could lead to higher patient billings. Generally, a higher CMI in a hospital indicates that the hospital provides expensive services with higher coding and therefore receives more money from patients. Therefore, measures to prevent upcoding through IT systems should be implemented. |
format | Online Article Text |
id | pubmed-5688032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Society of Medical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-56880322017-11-27 Association between Health Information Technology and Case Mix Index Park, Young-Taek Lee, Junsang Lee, Jinhyung Healthc Inform Res Original Article OBJECTIVES: Health information technology (IT) can assist healthcare providers in ordering medication and adhering to guidelines while improving communication among providers and the quality of care. However, the relationship between health IT and Case Mix Index (CMI) has not been thoroughly investigated; therefore, this study aimed to clarify this relationship. METHODS: To examine the effect of health IT on CMI, a generalized estimation equation (GEE) was applied to two years of California hospital data. RESULTS: We found that IT was positively associated with CMI, indicating that increased IT adoption could lead to a higher CMI or billing though DRG up-coding. This implies that hospitals' revenue could increase around $40,000 by increasing IT investment by 10%. CONCLUSIONS: The positive association between IT and CMI implies that IT adoption itself could lead to higher patient billings. Generally, a higher CMI in a hospital indicates that the hospital provides expensive services with higher coding and therefore receives more money from patients. Therefore, measures to prevent upcoding through IT systems should be implemented. Korean Society of Medical Informatics 2017-10 2017-10-31 /pmc/articles/PMC5688032/ /pubmed/29181242 http://dx.doi.org/10.4258/hir.2017.23.4.322 Text en © 2017 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Park, Young-Taek Lee, Junsang Lee, Jinhyung Association between Health Information Technology and Case Mix Index |
title | Association between Health Information Technology and Case Mix Index |
title_full | Association between Health Information Technology and Case Mix Index |
title_fullStr | Association between Health Information Technology and Case Mix Index |
title_full_unstemmed | Association between Health Information Technology and Case Mix Index |
title_short | Association between Health Information Technology and Case Mix Index |
title_sort | association between health information technology and case mix index |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688032/ https://www.ncbi.nlm.nih.gov/pubmed/29181242 http://dx.doi.org/10.4258/hir.2017.23.4.322 |
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