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Outpatient diabetes clinical decision support: current status and future directions
Author(s) -
O'Connor P. J.,
SperlHillen J. M.,
Fazio C. J.,
Averbeck B. M.,
Rank B. H.,
Margolis K. L.
Publication year - 2016
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/dme.13090
Subject(s) - medicine , decision support system , clinical decision support system , diabetes mellitus , intensive care medicine , diabetes management , principal (computer security) , type 2 diabetes , data mining , endocrinology , computer science , operating system
Outpatient clinical decision support systems have had an inconsistent impact on key aspects of diabetes care. A principal barrier to success has been low use rates in many settings. Here, we identify key aspects of clinical decision support system design, content and implementation that are related to sustained high use rates and positive impacts on glucose, blood pressure and lipid management. Current diabetes clinical decision support systems may be improved by prioritizing care recommendations, improving communication of treatment‐relevant information to patients, using such systems for care coordination and case management and integrating patient‐reported information and data from remote devices into clinical decision algorithms and interfaces.
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