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finding best evidence for evidence-based best practice recommendations in health care the initial decision support system design精品
Knowl Inf Syst (2011) 29:159–201
DOI 10.1007/s10115-011-0439-8
REGULAR PAPER
Finding best evidence for evidence-based best practice
recommendations in health care: the initial decision
support system design
Nick Cercone · Xiangdong An · Jiye Li ·
Zhenmei Gu · Aijun An
Received: 28 July 2008 / Revised: 13 June 2011 / Accepted: 8 August 2011 /
Published online: 24 August 2011
© Springer-Verlag London Limited 2011
Abstract A major problem for Canadian health organizations is finding best evidence for
evidence-based best practice recommendations. Medications are not always effectively used
and misuse may harm patients. Drugs are the fastest-growing element of Canadian health
care spending, second only to hospital spending. Three hundred million prescriptions are
filled annually. Prescription drugs accounted for 5.8% of total health care spending in 1980
and close to 18% today. A primary long-term goal of this research is to develop a decision
support system for evidence-based management, quality control and best practice recommen-
dations for medical prescriptions. Our results will improve accessibility and management of
information by: (1) building an prototype for adaptive information extraction, text and data
mining from (online) documents to find evidence on which to base best practices; and (2)
employing multiply sectioned Bayesian networks (MSBNs) to infer a probabilistic interpreta-
tion to validate evidence for recommendations; MSBNs provide this structure. Best practices
to improve drug-related health outcomes; patients’ quality of life; and cost-effective use of
medications by changing knowledge and behavior. This research will support next generation
eHealth decision support systems, which routinely find and verify evidence from multiple
sources, leading to cost-effective use of drugs, improve patients’ quality of life and optimize
drug-related health outcomes.
Keywords Evidence-based best practices · Decision su
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