2011
DOI: 10.1053/j.ajkd.2011.07.022
|View full text |Cite
|
Sign up to set email alerts
|

Use of Clinical Decision Support Systems for Kidney-Related Drug Prescribing: A Systematic Review

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

5
68
1

Year Published

2012
2012
2024
2024

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 92 publications
(74 citation statements)
references
References 45 publications
5
68
1
Order By: Relevance
“…Kane-Gill et al [12] showed that such clinical rules can detect adverse drug reactions in the ICU. Tawadrous et al [13] showed, in a systematic review, that such clinical rules have a beneficial effect on renal function related drug prescribing. In total, 32 studies were examined of which 17 (53%) involved computerized CDSSs.…”
Section: Introductionmentioning
confidence: 99%
“…Kane-Gill et al [12] showed that such clinical rules can detect adverse drug reactions in the ICU. Tawadrous et al [13] showed, in a systematic review, that such clinical rules have a beneficial effect on renal function related drug prescribing. In total, 32 studies were examined of which 17 (53%) involved computerized CDSSs.…”
Section: Introductionmentioning
confidence: 99%
“…[3][4][5][6][7] Computerized alerts can reduce prescribing errors associated with nephrotoxic medications, renally cleared medications, and renal impairment. 6,[8][9][10][11][12] However, the approach to presenting information to providers via alerts may affect how providers assess and use that information. [13][14][15] For example, if the alert information is unclear this can result in inappropriate prescribing and increased patient risks.…”
Section: Introductionmentioning
confidence: 99%
“…Often prescribing physicians do not consider the renal function of the patients, rely on their clinical experience, consult FASS (the Swedish Physicians' Desk Reference) or occasionally take advice from a consultant physician with specific knowledge in the field or from a clinical pharmacologist. Automated CDSS for kidney related drug prescribing has previously shown promise in reducing medication errors and improving the frequency of appropriate dosing in hospital care [18,19] and can reduce the occurrence of preventable adverse drug effects related to the renal function [20]. Successful CDSS frequently use automated data entry and real time feedback [21].…”
Section: Introductionmentioning
confidence: 99%