Difference between revisions of "Cost-effectiveness of a shared computerized decision support system for diabetes linked to electronic medical records"
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| − | + | == Background == | |
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| + | Diabetes is becoming a major epidemic not only in the United States but in Ontario, Canada as well. Studies have shown that diabetic complications can be prevented or delayed with proper clinical guidelines and preventative measures. With current limited evidence and no real value on cost-effectiveness, this article examines computerized decision support systems (CDSSs) in respect to patient care and health care costs for diabetes. | ||
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| + | == Methods == | ||
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| + | Health information was gathered by the Computerization of Medical Practices for the Enhancement of Therapeutic Effectiveness (COMPETE). The research was was based of randomized trials in 47 primary care practices in three regions in Ontario. Patient information was then analyzed and predicted with the patient-level computerized simulation model called ODEM. The ODEM estimates complications, life-expectancy, and costs of complications in people with type 2 diabetes. | ||
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| + | == Results == | ||
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| + | == Conclusion == | ||
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| + | == Comments == | ||
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| + | == References == | ||
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| + | Lyman, Jason A., Cohn, Wendy F., Bloomrosen, Meryl, Detmer, Don E. (2010). Clinical decision support: progress and opportunities. JAMIA, 14, 487-492. Retrieved February 22, 2015, from http://jamia.oxfordjournals.org/content/17/5/487 | ||
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| + | [[Category: Reviews]] | ||
| + | [[Category: CDS]] | ||
Revision as of 03:05, 3 March 2015
Background
Diabetes is becoming a major epidemic not only in the United States but in Ontario, Canada as well. Studies have shown that diabetic complications can be prevented or delayed with proper clinical guidelines and preventative measures. With current limited evidence and no real value on cost-effectiveness, this article examines computerized decision support systems (CDSSs) in respect to patient care and health care costs for diabetes.
Methods
Health information was gathered by the Computerization of Medical Practices for the Enhancement of Therapeutic Effectiveness (COMPETE). The research was was based of randomized trials in 47 primary care practices in three regions in Ontario. Patient information was then analyzed and predicted with the patient-level computerized simulation model called ODEM. The ODEM estimates complications, life-expectancy, and costs of complications in people with type 2 diabetes.
Results
Conclusion
Comments
References
Lyman, Jason A., Cohn, Wendy F., Bloomrosen, Meryl, Detmer, Don E. (2010). Clinical decision support: progress and opportunities. JAMIA, 14, 487-492. Retrieved February 22, 2015, from http://jamia.oxfordjournals.org/content/17/5/487
