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Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States.
- 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.
- Subjects :
- Cross-Sectional Studies
Decision Support Systems, Clinical statistics & numerical data
Humans
Medical Records Systems, Computerized statistics & numerical data
Technology Assessment, Biomedical
Texas
Hospital Information Systems statistics & numerical data
Hospitals, Urban statistics & numerical data
Subjects
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