Six factors (including physicians with fewer encounters and those who graduated from a top medical school) predict who overrides EHR alerts.
Int J Med Inform. 2015 May 9; [Epub ahead of print].
The effect of provider characteristics on the responses to medication-related decision support alerts.
Cho I, Slight SP, Nanji KC, et al. Int J Med Inform. 2015 May 9; [Epub ahead of print].
Prior studies have shown that prescribing clinicians frequently override computerized alerts warning them of potentially harmful drug interactions. This study found that house staff and physicians with fewer patient encounters were more likely to ignore alerts—as were physicians who graduated from one of the top five medical schools in the United States. Understanding why clinicians override warnings is critical to combatingalert fatigue.
Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.
Phansalkar S, van der Sijs H, Tucker AD, et al. J Am Med Inform Assoc. 2013;20:489-493.
A long-term follow-up evaluation of electronic health record prescribing safety.
Abramson EL, Malhotra S, Osorio SN, et al. J Am Med Inform Assoc. 2013;20:e52-e58.
We thought we would be perfect: medication errors before and after the initiation of computerized physician order entry.
Schwartzberg D, Ivanovic S, Patel S, Burjonrappa SC. J Surg Res. 2015 Apr 30; [Epub ahead of print].
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A safe practice standard for barcode technology.
Leung AA, Denham CR, Gandhi TK, et al. J Patient Saf. 2015;11:89-99.