FEATURESUsability and the Rapid Deployable Infectious Disease Decision Support SystemHoelscher, Dwayne DNP, RN-BC, CPHIMS; McBride, Susan PhD, RN-BC, CPHIMS, FAANAuthor Information Author Affiliations: University Medical Center (Dr Hoelscher); and School of Nursing, Texas Tech University Health Sciences Center (Dr McBride), Lubbock, TX. This publication/project was made possible through a cooperative agreement between the American Association of Colleges of Nursing (AACN) and the Centers for Disease Control and Prevention (CDC), award number 6 NU36OE000009-02-02; its contents are the responsibility of the authors and do not necessarily reflect the official views of AACN or CDC. The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Dwayne Hoelscher, DNP, RN-BC, CPHIMS, University Medical Center, 309 N Slide, Lubbock, TX 79416 (Dwayne.Hoelscher@universityhealthsystem.com). CIN: Computers, Informatics, Nursing: October 2020 - Volume 38 - Issue 10 - p 490-499 doi: 10.1097/CIN.0000000000000654 Buy Metrics Abstract Health information technology–guided clinical decision support has demonstrated decreases in patient safety errors in the electronic health record. Unknown and re-emerging infectious diseases are a growing concern for many healthcare facilities. The purpose of this project was to develop a modular approach to integrate rapid deployment of clinical decision support for infectious diseases into the clinical workflow and evaluate the usability of the design. This article reports on the results of a quality improvement project to develop, implement, and evaluate rapid deployment of a clinical decision support module using a tuberculosis use case. Important lessons learned from the electronic health record build with previous Ebola and Zika decision support alert strategy are discussed as foundational in guiding the overall design, implementation, and evaluation of improvement strategies. Subject matter expert feedback was sought throughout the project for electronic health record design and build considerations. Usability evaluation was conducted using the classic Task, User, Representation, and Function unified framework of electronic health record usability. Usability satisfaction for both providers and nurses remained high. Tuberculosis cases pre-alert and post-alert had decreased order times for diagnostic studies. Results suggest satisfied clinicians coupled with usable systems create a more efficient workflow resulting in safer and timelier diagnostic testing. Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.