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Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States

BACKGROUND: A hospital's clinical information system may require a specific environment in which to flourish. This environment is not yet well defined. We examined whether specific hospital characteristics are associated with highly automated and usable clinical information systems. METHODS: Th...

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Autores principales: Amarasingham, Ruben, Diener-West, Marie, Plantinga, Laura, Cunningham, Aaron C, Gaskin, Darrell J, Powe, Neil R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553406/
https://www.ncbi.nlm.nih.gov/pubmed/18793426
http://dx.doi.org/10.1186/1472-6947-8-39
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author Amarasingham, Ruben
Diener-West, Marie
Plantinga, Laura
Cunningham, Aaron C
Gaskin, Darrell J
Powe, Neil R
author_facet Amarasingham, Ruben
Diener-West, Marie
Plantinga, Laura
Cunningham, Aaron C
Gaskin, Darrell J
Powe, Neil R
author_sort Amarasingham, Ruben
collection PubMed
description BACKGROUND: A hospital's clinical information system may require a specific environment in which to flourish. This environment is not yet well defined. We examined whether specific hospital characteristics are associated with highly automated and usable clinical information systems. METHODS: This was a cross-sectional survey of 125 urban hospitals in Texas, United States using the Clinical Information Technology Assessment Tool (CITAT), which measures a hospital's level of automation based on physician interactions with the information system. Physician responses were used to calculate a series of CITAT scores: automation and usability scores, four automation sub-domain scores, and an overall clinical information technology (CIT) score. A multivariable regression analysis was used to examine the relation between hospital characteristics and CITAT scores. RESULTS: We received a sufficient number of physician responses at 69 hospitals (55% response rate). Teaching hospitals, hospitals with higher IT operating expenses (>$1 million annually), IT capital expenses (>$75,000 annually) and hospitals with larger IT staff (≥ 10 full-time staff) had higher automation scores than hospitals that did not meet these criteria (p < 0.05 in all cases). These findings held after adjustment for bed size, total margin, and ownership (p < 0.05 in all cases). There were few significant associations between the hospital characteristics tested in this study and usability scores. CONCLUSION: Academic affiliation and larger IT operating, capital, and staff budgets are associated with more highly automated clinical information systems.
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spelling pubmed-25534062008-09-26 Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States Amarasingham, Ruben Diener-West, Marie Plantinga, Laura Cunningham, Aaron C Gaskin, Darrell J Powe, Neil R BMC Med Inform Decis Mak Research Article BACKGROUND: A hospital's clinical information system may require a specific environment in which to flourish. This environment is not yet well defined. We examined whether specific hospital characteristics are associated with highly automated and usable clinical information systems. METHODS: This was a cross-sectional survey of 125 urban hospitals in Texas, United States using the Clinical Information Technology Assessment Tool (CITAT), which measures a hospital's level of automation based on physician interactions with the information system. Physician responses were used to calculate a series of CITAT scores: automation and usability scores, four automation sub-domain scores, and an overall clinical information technology (CIT) score. A multivariable regression analysis was used to examine the relation between hospital characteristics and CITAT scores. RESULTS: We received a sufficient number of physician responses at 69 hospitals (55% response rate). Teaching hospitals, hospitals with higher IT operating expenses (>$1 million annually), IT capital expenses (>$75,000 annually) and hospitals with larger IT staff (≥ 10 full-time staff) had higher automation scores than hospitals that did not meet these criteria (p < 0.05 in all cases). These findings held after adjustment for bed size, total margin, and ownership (p < 0.05 in all cases). There were few significant associations between the hospital characteristics tested in this study and usability scores. CONCLUSION: Academic affiliation and larger IT operating, capital, and staff budgets are associated with more highly automated clinical information systems. BioMed Central 2008-09-15 /pmc/articles/PMC2553406/ /pubmed/18793426 http://dx.doi.org/10.1186/1472-6947-8-39 Text en Copyright © 2008 Amarasingham et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Amarasingham, Ruben
Diener-West, Marie
Plantinga, Laura
Cunningham, Aaron C
Gaskin, Darrell J
Powe, Neil R
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title_full Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title_fullStr Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title_full_unstemmed Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title_short Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
title_sort hospital characteristics associated with highly automated and usable clinical information systems in texas, united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553406/
https://www.ncbi.nlm.nih.gov/pubmed/18793426
http://dx.doi.org/10.1186/1472-6947-8-39
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