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Annals of Internal Medicine | 2012

Effect of Clinical Decision-Support Systems: A Systematic Review

Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A. Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick; Gillian D Sanders; David F. Lobach

BACKGROUND Despite increasing emphasis on the role of clinical decision-support systems (CDSSs) for improving care and reducing costs, evidence to support widespread use is lacking. PURPOSE To evaluate the effect of CDSSs on clinical outcomes, health care processes, workload and efficiency, patient satisfaction, cost, and provider use and implementation. DATA SOURCES MEDLINE, CINAHL, PsycINFO, and Web of Science through January 2011. STUDY SELECTION Investigators independently screened reports to identify randomized trials published in English of electronic CDSSs that were implemented in clinical settings; used by providers to aid decision making at the point of care; and reported clinical, health care process, workload, relationship-centered, economic, or provider use outcomes. DATA EXTRACTION Investigators extracted data about study design, participant characteristics, interventions, outcomes, and quality. DATA SYNTHESIS 148 randomized, controlled trials were included. A total of 128 (86%) assessed health care process measures, 29 (20%) assessed clinical outcomes, and 22 (15%) measured costs. Both commercially and locally developed CDSSs improved health care process measures related to performing preventive services (n= 25; odds ratio [OR], 1.42 [95% CI, 1.27 to 1.58]), ordering clinical studies (n= 20; OR, 1.72 [CI, 1.47 to 2.00]), and prescribing therapies (n= 46; OR, 1.57 [CI, 1.35 to 1.82]). Few studies measured potential unintended consequences or adverse effects. LIMITATIONS Studies were heterogeneous in interventions, populations, settings, and outcomes. Publication bias and selective reporting cannot be excluded. CONCLUSION Both commercially and locally developed CDSSs are effective at improving health care process measures across diverse settings, but evidence for clinical, economic, workload, and efficiency outcomes remains sparse. This review expands knowledge in the field by demonstrating the benefits of CDSSs outside of experienced academic centers. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality.


Evidence report/technology assessment | 2012

Enabling Health Care Decisionmaking Through Clinical Decision Support and Knowledge Management

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A. Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2015

Effect of Clinical Decision-Support Systems

Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A. Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick; Gillian D Sanders; David F. Lobach


Archive | 2012

Table H-5, Factors/Features: preventive care adherence

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

Table K-2, Types of generalized knowledge: morbidity

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

Table I-15, Outcome measure: health care provider satisfaction

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

Sample Data Abstraction Form (Key Questions 2–4)

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

Table I-9, Outcome measure: user knowledge

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

[Table, Sample Data Abstraction Form (Key Questions 2–4)].

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick


Archive | 2012

Data Abstraction Guidance

David F. Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori A Bastian; Remy R Coeytaux; Gregory P. Samsa; Vic Hasselblad; John W Williams; Michael Musty; Amy Kendrick

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John W Williams

United States Department of Veterans Affairs

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Lori A Bastian

United States Department of Veterans Affairs

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