共 21 条
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States
被引:16
作者:
Amarasingham, Ruben
[1
]
Diener-West, Marie
[2
]
Plantinga, Laura
[3
]
Cunningham, Aaron C.
[4
]
Gaskin, Darrell J.
[5
]
Powe, Neil R.
[6
,7
,8
]
机构:
[1] Univ Texas SW Med Ctr Dallas, Dept Med, Dallas, TX 75390 USA
[2] Johns Hopkins Univ, Dept Biostat, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[4] Parkland Hlth & Hosp Syst, Dept Data Management & Clin Res, Dallas, TX USA
[5] Univ Maryland, Dep African Amer Studies, College Pk, MD 20742 USA
[6] Johns Hopkins Univ, Dept Hlth Policy & Management, Bloomberg Sch Publ Hlth, Sch Med,Dep Med, Baltimore, MD 21218 USA
[7] Johns Hopkins Univ, Dept Epidemiol, Bloomberg Sch Publ Hlth, Sch Med,Dep Med, Baltimore, MD 21218 USA
[8] Johns Hopkins Univ, Sch Med, Welch Ctr Prevent Epidemiol & Clin Res, Baltimore, MD 21218 USA
关键词:
D O I:
10.1186/1472-6947-8-39
中图分类号:
R-058 [];
学科分类号:
摘要:
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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