FEATURESDigitizing Infectious Disease Clinical Guidelines for Improved Clinician SatisfactionHoelscher, Stephanie H. DNP, RN-BC, CPHIMS, CHISP, FHIMSS; McBride, Susan PhD, RN-BC, CPHIMS, FAANAuthor Information Author Affiliation: School of Nursing (Dr McBride), Texas Tech University Health Sciences Center (Dr Hoelscher), Lubbock. Financial support for this 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 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: Stephanie H. Hoelscher, DNP, RN-BC, CPHIMS, CHISP, FHIMSS, Texas Tech University Health Sciences Center, 4523 E. FM 1585 Slaton, TX 79364 (Steph.Hoelscher@ttuhsc.edu). CIN: Computers, Informatics, Nursing: June 2020 - Volume 38 - Issue 6 - p 303-311 doi: 10.1097/CIN.0000000000000612 Buy Metrics Abstract The purpose of this project was to implement an improved rapid-deployment clinical decision support strategy for the detection and treatment of emerging and reemerging infectious diseases within an electronic health record informed by end-user satisfaction. After a review of the evidence and comprehensive workflow assessments, interdisciplinary focus groups were assembled to determine current infectious disease needs within the electronic health record and what guidance should be provided to clinicians to assist in making the best decisions for both patient care and population health. Education and reeducation issues were handled throughout the implementation process. Using the Plan-Do-Study-Act quality improvement framework for rapid cycle deployment, the design was implemented and monitored. To evaluate efficacy and clinician satisfaction of the implementation, presurvey and postsurvey measurements were employed. The Clinical Information System Implementation Evaluation Scale was used, along with demographic and qualitative textual questions, to evaluate clinician satisfaction. Findings indicate the implementation was successful (P < .05). Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.