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.
N1 - Funding Information:
The authors wish to thank the Commonwealth Fund, NY, for their generous funding support of this study. The Commonwealth Fund was not involved in the design and conduct of the study, the collection, management, analysis or interpretation of the data, or the preparation, review, or approval of the manuscript. The authors wish to thank our partners in this study: the Texas Hospital Association, the Texas Health Institute, the Texas Medical Association, and the Texas Department of State Health Services.
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.
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U2 - 10.1186/1472-6947-8-39
DO - 10.1186/1472-6947-8-39
M3 - Article
C2 - 18793426
AN - SCOPUS:52649138904
SN - 1472-6947
VL - 8
JO - BMC Medical Informatics and Decision Making
JF - BMC Medical Informatics and Decision Making
M1 - 39
ER -