Appl Clin Inform 2025; 16(05): 1794-1798
DOI: 10.1055/a-2740-1587
Brief Scientific Communication

A Prescription for Efficiency: The Effect of an Ambulatory Medication Preference List Optimization

Autoren

  • Oluwatoba Moninuola

    1   Department of Family Medicine, The Ohio State University College of Medicine, Columbus, Ohio, United States
    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
  • John M. Grisham

    1   Department of Family Medicine, The Ohio State University College of Medicine, Columbus, Ohio, United States
    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    3   Division of Gastroenterology, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Naveed Farrukh

    1   Department of Family Medicine, The Ohio State University College of Medicine, Columbus, Ohio, United States
    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Leanne Murray

    4   Department of Pharmacy, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Aarti Chandawarkar

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    5   Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States
    6   Division of Primary Care, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Laura Rust

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    5   Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States
    7   Division of Emergency Medicine, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Alysha J. Taxter

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    5   Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States
    8   Division of Rheumatology, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Juan D. Chaparro

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    5   Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States
  • Jeffrey Hoffman

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
  • Jennifer A. Lee

    2   Division of Clinical Informatics, Nationwide Children's Hospital, Columbus, Ohio, United States
    3   Division of Gastroenterology, Nationwide Children's Hospital, Columbus, Ohio, United States
    5   Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States

Funding None.

Abstract

Objective

This study aimed to evaluate the effect of optimizing the ambulatory medication preference list on provider efficiency in medication ordering.

Methods

Using electronic health record (EHR) vendor data, a multidisciplinary informatics team optimized the general ambulatory medication preference list to better align with providers' ordering patterns. We conducted a pre–postintervention analysis assessing time-in-orders per encounter and number of manual changes per order.

Results

Postintervention, average manual changes per order decreased from 4.12 to 3.00 (p < 0.01), and median time spent in the orders activity per encounter decreased from 3.1 to 2.3 minutes (p < 0.01).

Conclusion

Optimizing the ambulatory medication preference list reduced time spent and clicks needed by providers when ordering medications. This is relevant to ongoing efforts to address EHR-related burden.

Protection of Human and Animal Subjects

No human and/or animal subjects were included in the project.




Publikationsverlauf

Eingereicht: 28. Juli 2025

Angenommen: 05. November 2025

Artikel online veröffentlicht:
28. November 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany