Appl Clin Inform 2017; 08(03): 866-879
DOI: 10.4338/ACI-2017-04-RA-0059
Research Article
Schattauer GmbH

Comparison of Overridden Medication-related Clinical Decision Support in the Intensive Care Unit between a Commercial System and a Legacy System

Adrian Wong
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
2   MCPHS University, Boston, MA
,
Adam Wright
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
3   Harvard Medical School, Boston, MA
,
Diane L. Seger
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
4   Partners HealthCare, Clinical and Quality Analysis, Somerville, MA
,
Mary G. Amato
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
2   MCPHS University, Boston, MA
,
Julie M. Fiskio
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
4   Partners HealthCare, Clinical and Quality Analysis, Somerville, MA
,
David Bates
1   Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA
3   Harvard Medical School, Boston, MA
› Author Affiliations
Further Information

Publication History

10 April 2017

02 June 2017

Publication Date:
20 December 2017 (online)

Preview

Summary

Background: Electronic health records (EHRs) with clinical decision support (CDS) have shown to be effective at improving patient safety. Despite this, alerts delivered as part of CDS are overridden frequently, which is of concern in the critical care population as this group may have an increased risk of harm. Our organization recently transitioned from an internally-developed EHR to a commercial system. Data comparing various EHR systems, especially after transitions between EHRs, are needed to identify areas for improvement.

Objectives: To compare the two systems and identify areas for potential improvement with the new commercial system at a single institution.

Methods: Overridden medication-related CDS alerts were included from October to December of the systems’ respective years (legacy, 2011; commercial, 2015), restricted to three intensive care units. The two systems were compared with regards to CDS presentation and override rates for four types of CDS: drug-allergy, drug-drug interaction (DDI), geriatric and renal alerts. A post hoc analysis to evaluate for adverse drug events (ADEs) potentially resulting from overridden alerts was performed for ‘contraindicated’ DDIs via chart review.

Results: There was a significant increase in provider exposure to alerts and alert overrides in the commercial system (commercial: n=5,535; legacy: n=1,030). Rates of overrides were higher for the allergy and DDI alerts (p<0.001) in the commercial system. Geriatric and renal alerts were significantly different in incidence and presentation between the two systems. No ADEs were identified in an analysis of 43 overridden contraindicated DDI alerts.

Conclusions: The vendor system had much higher rates of both alerts and overrides, although we did not find evidence of harm in a review of DDIs which were overridden. We propose recommendations for improving our current system which may be helpful to other similar institutions; improving both alert presentation and the underlying knowledge base appear important.

Citation: Wong A, Wright A, Seger DL, Amato MG, Fiskio JM, Bates D. Comparison of Overridden Medication-related Clinical Decision Support in the Intensive Care Unit between a Commercial System and a Legacy System. Appl Clin Inform 2017; 8: 866–879 https://doi.org/10.4338/ACI-2017-04-RA-0059

Clinical Relevance Statement

In this comparison of a legacy EHR and commercial EHR system in regards to CDS, we found significant differences in alert characteristics and frequency. We discuss recommendations to improve both systems, which may be extrapolated to other institutions. Recommendations include the timing of presentation of alerts to time of order instead of signing, increasing specificity by including patient-specific factors, and suggested doses based on a patient’s presentation.


Human Subjects Protections

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects, and was reviewed by the Partners Institutional Review Board.