Karen Dunn Lopez1, Alessandro Febretti2, Janet Stifter3, Andrew Johnson4, Diana J Wilkie5, Gail Keenan6. 1. Assistant Professor, Department of Health Systems Science, College of Nursing, University of Illinois at Chicago, Chicago, Illinois. 2. Research Associate, Electronic Visualization Laboratory, College of Engineering, College of Nursing, University of Illinois at Chicago, Chicago, Illinois. 3. Director of the American Organization of Nurse Executives, Center for Care Innovation and Transformation, Chicago, Illinois. 4. Director of Research, Electronic Visualization Laboratory, College of Engineering, University of Illinois at Chicago, Chicago, Illinois. 5. Prairieview Trust-Earl and Margo Powers Endowed Professor, Department of Biobehavioral Nursing Science, University of Florida, Gainesville, Florida, and Department of Biobehavioral Nursing, College of Nursing, University of Illinois at Chicago, Chicago, Illinois. 6. Annabel Davis Jenks Endowed Professor for Teaching and Research in Clinical Nursing Excellence, Department of Family, Community Health Systems Science, College of Nursing, University of Florida, Gainesville, Florida, USA.
Abstract
PURPOSE: To develop methods for rapid and simultaneous design, testing, and management of multiple clinical decision support (CDS) features to aid nurse decision-making. METHODS: We used quota sampling, think-aloud and cognitive interviews, and deductive and inductive coding of synchronized audio video data and archival libraries. FINDINGS: Our methods and organizational tools allowed us to rapidly improve the usability, understandability, and usefulness of CDS in a generalizable sample of practicing nurses. CONCLUSIONS: The method outlined allows the rapid integration of nursing terminology based electronic health record data into routine workflow and holds strong potential for improving patient outcomes. IMPLICATIONS FOR NURSING PRACTICE: The methods and organizational tools for development of multiple CDS system features can be used to translate knowledge into practice.
PURPOSE: To develop methods for rapid and simultaneous design, testing, and management of multiple clinical decision support (CDS) features to aid nurse decision-making. METHODS: We used quota sampling, think-aloud and cognitive interviews, and deductive and inductive coding of synchronized audio video data and archival libraries. FINDINGS: Our methods and organizational tools allowed us to rapidly improve the usability, understandability, and usefulness of CDS in a generalizable sample of practicing nurses. CONCLUSIONS: The method outlined allows the rapid integration of nursing terminology based electronic health record data into routine workflow and holds strong potential for improving patient outcomes. IMPLICATIONS FOR NURSING PRACTICE: The methods and organizational tools for development of multiple CDS system features can be used to translate knowledge into practice.
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Authors: Hwayoung Cho; Gail Keenan; Olatunde O Madandola; Fabiana Cristina Dos Santos; Tamara G R Macieira; Ragnhildur I Bjarnadottir; Karen J B Priola; Karen Dunn Lopez Journal: JMIR Hum Factors Date: 2022-05-10