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

Ruben Amarasingham, Marie Diener-West, Laura Plantinga, Aaron C. Cunningham, Darrell J. Gaskin, Neil R. Powe

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number39
JournalBMC Medical Informatics and Decision Making
Volume8
DOIs
StatePublished - 2008

Fingerprint

Information Systems
Automation
Biomedical Technology Assessment
Physicians
Hospital Bed Capacity
Economics
Hospital Information Systems
Ownership
Urban Hospitals
Budgets
Teaching Hospitals
Cross-Sectional Studies
Regression Analysis
Technology

ASJC Scopus subject areas

  • Health Informatics
  • Health Policy

Cite this

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.

In: BMC Medical Informatics and Decision Making, Vol. 8, 39, 2008.

Research output: Contribution to journalArticle

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. In: BMC Medical Informatics and Decision Making. 2008 ; Vol. 8.
@article{65ec9c8cf74840a780ebaac0c377d927,
title = "Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States",
abstract = "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.",
author = "Ruben Amarasingham and Marie Diener-West and Laura Plantinga and Cunningham, {Aaron C.} and Gaskin, {Darrell J.} and Powe, {Neil R.}",
year = "2008",
doi = "10.1186/1472-6947-8-39",
language = "English (US)",
volume = "8",
journal = "BMC Medical Informatics and Decision Making",
issn = "1472-6947",
publisher = "BioMed Central",

}

TY - JOUR

T1 - Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States

AU - Amarasingham, Ruben

AU - Diener-West, Marie

AU - Plantinga, Laura

AU - Cunningham, Aaron C.

AU - Gaskin, Darrell J.

AU - Powe, Neil R.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=52649138904&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=52649138904&partnerID=8YFLogxK

U2 - 10.1186/1472-6947-8-39

DO - 10.1186/1472-6947-8-39

M3 - Article

C2 - 18793426

AN - SCOPUS:52649138904

VL - 8

JO - BMC Medical Informatics and Decision Making

JF - BMC Medical Informatics and Decision Making

SN - 1472-6947

M1 - 39

ER -