Literature DB >> 29425628

High-priority and low-priority drug-drug interactions in different international electronic health record systems: A comparative study.

Pieter Cornu1, Shobha Phansalkar2, Diane L Seger3, Insook Cho4, Sarah Pontefract5, Alexandra Robertson6, David W Bates7, Sarah P Slight8.   

Abstract

OBJECTIVES: To investigate whether alert warnings for high-priority and low-priority drug-drug interactions (DDIs) were present in five international electronic health record (EHR) systems, to compare and contrast the severity level assigned to them, and to establish the proportion of alerts that were overridden.
METHODS: We conducted a comparative, retrospective, multinational study using a convenience sample of 5 EHRs from the U.S., U.K., Republic of Korea and Belgium.
RESULTS: Of the 15 previously defined, high-priority, class-based DDIs, alert warnings were found to exist for 11 in both the Korean and UK systems, 9 in the Belgian system, and all 15 in the two US systems. The specific combinations that were included in these class-based DDIs varied considerably in number, type and level of severity amongst systems. Alerts were only active for 8.4% (52/619) and 52.4% (111/212) of the specific drug-drug combinations contained in the Belgian and UK systems, respectively. Hard stops (not possible to override) existed in the US and UK systems only. The override rates for high-priority alerts requiring provider action ranged from 56.7% to 83.3%. Of the 33 previously defined low-priority DDIs, active alerts existed only in the US systems, for three class-based DDIs. The majority were non-interruptive.
CONCLUSIONS: Alert warnings existed for most of the high-priority DDIs in the different EHRs but overriding them was easy in most of the systems. In addition to validating the high- and low-priority DDIs, this study reported a lack of standardization in DDI levels across different international knowledge bases.
Copyright © 2017. Published by Elsevier B.V.

Keywords:  Clinical decision support systems; Drug interactions; Electronic health records; High-risk medicines; Hospital

Mesh:

Year:  2018        PMID: 29425628     DOI: 10.1016/j.ijmedinf.2017.12.027

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  6 in total

Review 1.  Evaluation of Potential Drug-Drug Interactions in Adults in the Intensive Care Unit: A Systematic Review and Meta-Analysis.

Authors:  Mary Grace Fitzmaurice; Adrian Wong; Hannah Akerberg; Simona Avramovska; Pamela L Smithburger; Mitchell S Buckley; Sandra L Kane-Gill
Journal:  Drug Saf       Date:  2019-09       Impact factor: 5.606

2.  Improving the specificity of drug-drug interaction alerts: Can it be done?

Authors:  Thomas Reese; Adam Wright; Siru Liu; Richard Boyce; Andrew Romero; Guilherme Del Fiol; Kensaku Kawamoto; Daniel Malone
Journal:  Am J Health Syst Pharm       Date:  2022-06-23       Impact factor: 2.980

3.  Targeting continuity of care and polypharmacy to reduce drug-drug interaction.

Authors:  Yi-An Weng; Chung-Yeh Deng; Christy Pu
Journal:  Sci Rep       Date:  2020-12-04       Impact factor: 4.379

4.  Prevalence of potentially harmful multidrug interactions on medication lists of elderly ambulatory patients.

Authors:  Tara V Anand; Brendan K Wallace; Herbert S Chase
Journal:  BMC Geriatr       Date:  2021-11-19       Impact factor: 3.921

Review 5.  Economic impact of clinical decision support interventions based on electronic health records.

Authors:  Daniel Lewkowicz; Attila Wohlbrandt; Erwin Boettinger
Journal:  BMC Health Serv Res       Date:  2020-09-15       Impact factor: 2.655

Review 6.  An overview of clinical decision support systems: benefits, risks, and strategies for success.

Authors:  Reed T Sutton; David Pincock; Daniel C Baumgart; Daniel C Sadowski; Richard N Fedorak; Karen I Kroeker
Journal:  NPJ Digit Med       Date:  2020-02-06
  6 in total

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