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Clinician collaboration to improve clinical decision support: the Clickbusters initiative
Journal article   Open access   Peer reviewed

Clinician collaboration to improve clinical decision support: the Clickbusters initiative

Allison B. McCoy, Elise M. Russo, Kevin B. Johnson, Bobby Addison, Neal Patel, Jonathan P. Wanderer, Dara E. Mize, Jon G. Jackson, Thomas J. Reese, SyLinda Littlejohn, …
Journal of the American Medical Informatics Association : JAMIA, Vol.29(6), pp.1050-1059
03/04/2022
DOI: 10.1093/jamia/ocac027
PMCID: PMC9093034
PMID: 35244165
url
https://doi.org/10.1093/jamia/ocac027View
Published (Version of record) Open Access

Abstract

Objective We describe the Clickbusters initiative implemented at Vanderbilt University Medical Center (VUMC), which was designed to improve safety and quality and reduce burnout through the optimization of clinical decision support (CDS) alerts. Materials and Methods We developed a 10-step Clickbusting process and implemented a program that included a curriculum, CDS alert inventory, oversight process, and gamification. We carried out two 3-month rounds of the Clickbusters program at VUMC. We completed descriptive analyses of the changes made to alerts during the process, and of alert firing rates before and after the program. Results Prior to Clickbusters, VUMC had 419 CDS alerts in production, with 488 425 firings (42 982 interruptive) each week. After 2 rounds, the Clickbusters program resulted in detailed, comprehensive reviews of 84 CDS alerts and reduced the number of weekly alert firings by more than 70 000 (15.43%). In addition to the direct improvements in CDS, the initiative also increased user engagement and involvement in CDS. Conclusions At VUMC, the Clickbusters program was successful in optimizing CDS alerts by reducing alert firings and resulting clicks. The program also involved more users in the process of evaluating and improving CDS and helped build a culture of continuous evaluation and improvement of clinical content in the electronic health record.
Computer Science Computer Science, Information Systems Computer Science, Interdisciplinary Applications Health Care Sciences & Services Information Science & Library Science Life Sciences & Biomedicine Medical Informatics Science & Technology Technology

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