FEATURE ARTICLEInforming the Design of Hemodynamic Monitoring DisplaysDOIG, ALEXA K. PhD, RN; DREWS, FRANK A. PhD; KEEFE, MAUREEN R. PhD, RN, FAANAuthor Information Author Affiliations: College of Nursing (Drs Doig and Keefe) and Department of Psychology (Dr Drews), University of Utah, Salt Lake City. This research was funded by a Ruth L. Kirschstein Predoctoral National Research Service Award (F31 NR008832-01) from the National Institute of Nursing Research at the National Institutes of Health that was awarded to the first author. The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article. Corresponding author: Alexa K. Doig, PhD, RN, University of Utah, 10 South 2000 East, Salt Lake City, UT 84112 (firstname.lastname@example.org). CIN: Computers, Informatics, Nursing: December 2011 - Volume 29 - Issue 12 - p 706-713 doi: 10.1097/NCN.0b013e3182148eba Buy Metrics Abstract In the ICU, an extensive array of variables from the hemodynamic monitoring display is routinely analyzed. However, the development of new display technologies is proceeding without adequate study of the monitoring tasks and behaviors of a primary user group—critical-care nurses. Semistructured interviews focusing on the cognitive aspects of the hemodynamic monitoring task were conducted with 14 critical-care nurses. A systematic content analysis of qualitative data identified cognitive tasks that had applicability to the design of monitoring displays. The cognitive tasks of hemodynamic monitoring were (1) selective data acquisition, (2) applying meaning to the variables and understanding relationships between parameters, (3) controlling hemodynamics by titrating medications and intravenous fluids, and (4) monitoring complex trends of multiple interacting variables and patient response to interventions. Recommendations include designing the monitoring display to match the mental constructs and cognitive tasks of the user by applying conceptual meaning to the variables, highlighting relationships between variables, and presenting a “big picture” view of the patient’s condition. Monitoring displays must also present integrated trends that illustrate the dynamic relationship between interventions and patient response. © 2011 Lippincott Williams & Wilkins, Inc.