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

Authors :
Amarasingham R
Diener-West M
Plantinga L
Cunningham AC
Gaskin DJ
Powe NR
Source :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2008 Sep 15; Vol. 8, pp. 39. Date of Electronic Publication: 2008 Sep 15.
Publication Year :
2008

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.<br />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.<br />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 (> or = 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.<br />Conclusion: Academic affiliation and larger IT operating, capital, and staff budgets are associated with more highly automated clinical information systems.

Details

Language :
English
ISSN :
1472-6947
Volume :
8
Database :
MEDLINE
Journal :
BMC medical informatics and decision making
Publication Type :
Academic Journal
Accession number :
18793426
Full Text :
https://doi.org/10.1186/1472-6947-8-39