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Clinician collaboration to improve clinical decision support: the Clickbusters initiative.
McCoy, Allison B; Russo, Elise M; Johnson, Kevin B; Addison, Bobby; Patel, Neal; Wanderer, Jonathan P; Mize, Dara E; Jackson, Jon G; Reese, Thomas J; Littlejohn, SyLinda; Patterson, Lorraine; French, Tina; Preston, Debbie; Rosenbury, Audra; Valdez, Charlie; Nelson, Scott D; Aher, Chetan V; Alrifai, Mhd Wael; Andrews, Jennifer; Cobb, Cheryl; Horst, Sara N; Johnson, David P; Knake, Lindsey A; Lewis, Adam A; Parks, Laura; Parr, Sharidan K; Patel, Pratik; Patterson, Barron L; Smith, Christine M; Suszter, Krystle D; Turer, Robert W; Wilcox, Lyndy J; Wright, Aileen P; Wright, Adam.
Afiliación
  • McCoy AB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Russo EM; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Johnson KB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Addison B; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Patel N; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wanderer JP; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Mize DE; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Jackson JG; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Reese TJ; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Littlejohn S; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Patterson L; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • French T; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Preston D; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Rosenbury A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Valdez C; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Nelson SD; Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Aher CV; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Alrifai MW; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Andrews J; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cobb C; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Horst SN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Johnson DP; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Knake LA; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Lewis AA; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Parks L; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Parr SK; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Patel P; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Patterson BL; Department of General Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Smith CM; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Suszter KD; HeathIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Turer RW; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wilcox LJ; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wright AP; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wright A; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
J Am Med Inform Assoc ; 29(6): 1050-1059, 2022 05 11.
Article en En | MEDLINE | ID: mdl-35244165
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Sistemas de Entrada de Órdenes Médicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Sistemas de Entrada de Órdenes Médicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article