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Computer-based clinical decision support for general practitioners

Computer-based clinical decision support for general practitioners Family Practice, 2014, Vol. 31, No. 5, 497–498 doi:10.1093/fampra/cmu045 Advance Access publication 5 August 2014 Editorial A GP makes many decisions within every consultation. A com- antibiotic prescribing and less use of streptococcal antigen test- puter-based clinical decision support system (CDSS) is soft- ing, through the insertion of the clinical prediction rules, with ware designed to support this decision making. It matches an absolute risk reduction in antibiotic prescribing of 9%. individual patient characteristics to a computerized clinical Similarly, the identification of potentially inappropriate pre - knowledge base and then provides patient-specific assessments scribing in older adults has been shown to be enhanced through or recommendations to the clinician to support a decision that CDSS, yet the effect on patient outcomes such as adverse drug can relate to diagnosis, investigation, prognosis or treatment events is again uncertain (7). (1). CDSSs offers the potential to translate the most up to date The features which help successful application of decision and robust evidence into practice. An example would include support have been well described (3). They include point of care a GP being prompted to use a clinical prediction rule for phar- use, at the time and location of decision making and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Family Practice Oxford University Press

Computer-based clinical decision support for general practitioners

Murphy, Mark E; Fahey, Tom; Smith, Susan M
Family Practice , Volume 31 (5) – Oct 5, 2014
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References (15)

Publisher
Oxford University Press
Copyright
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
ISSN
0263-2136
eISSN
1460-2229
DOI
10.1093/fampra/cmu045
pmid
25096276
Publisher site
See Article on Publisher Site

Abstract

Family Practice, 2014, Vol. 31, No. 5, 497–498 doi:10.1093/fampra/cmu045 Advance Access publication 5 August 2014 Editorial A GP makes many decisions within every consultation. A com- antibiotic prescribing and less use of streptococcal antigen test- puter-based clinical decision support system (CDSS) is soft- ing, through the insertion of the clinical prediction rules, with ware designed to support this decision making. It matches an absolute risk reduction in antibiotic prescribing of 9%. individual patient characteristics to a computerized clinical Similarly, the identification of potentially inappropriate pre - knowledge base and then provides patient-specific assessments scribing in older adults has been shown to be enhanced through or recommendations to the clinician to support a decision that CDSS, yet the effect on patient outcomes such as adverse drug can relate to diagnosis, investigation, prognosis or treatment events is again uncertain (7). (1). CDSSs offers the potential to translate the most up to date The features which help successful application of decision and robust evidence into practice. An example would include support have been well described (3). They include point of care a GP being prompted to use a clinical prediction rule for phar- use, at the time and location of decision making and

Journal

Family Practice – Oxford University Press

Published: Oct 5, 2014

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