Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Nov 13:2010:116-20.

Interpreting nurses' responses to clinical documentation alerts

Affiliations

Interpreting nurses' responses to clinical documentation alerts

James J Cimino et al. AMIA Annu Symp Proc. .

Abstract

Objective: To understand how nurses respond to alerts that detect attempts to enter into electronic health records patient weights that vary significantly from previously recorded weights.

Methods: Examination of subsequent patient weights to determine if the alerts were true positive (TP) or false positive (FP), and whether nurses overrode alerts, changed their entry or quit without storing a value.

Results: Alerts occurred 2.74%, with 41.9% TP and 58.1% FP. Nurses overrode 30.3% of TP and 97.3% of FP alerts.

Conclusions: The alert has an acceptable FP rate and does not appear to cause nurses to change entries to satisfy the alert. The alert improves recording of patient weights.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
Nurse responses to True Positive (TP) and False Positive (FP) alerts. Note that TP alerts that were changed or quit represent reductions in storage of deviant values. FP alerts that were overridden represent deviant values that were stored despite the alerts.

References

    1. Pryor TA. Computerized nurse charting. Int J Clin Monit Comput. 1989;6(3):173–9. - PubMed
    1. Kroth PJ, Dexter PR, Overhage JM, Knipe C, Hui SL, Belsito A, McDonald CJ. A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside. AMIA Annu Symp Proc. 2006:444–8. - PMC - PubMed
    1. Caraballo PJ, North F, Peters S, et al. Use of decision support to prevent errors when documenting height and weight in the hospital electronic medical record. AMIA Annu Symp Proc. 2008:890. - PubMed
    1. Haerian H, McKeeby J, DiPatrizio G, Cimino JJ. Use of Clinical Alerting to Improve the Collection of Clinical Research Data. AMIA Annu Symp Proc. 2009:218–22. - PMC - PubMed
    1. Cimino JJ, Ayres EA. The Clinical Research Data Repository of the US National Institutes of Health. Proc of the 2010 Medinfo. (in press). - PMC - PubMed

LinkOut - more resources