MedStar Authors catalog › Details for: Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.
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Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.

by Weldon, Danielle LM; Miller, Kristen.
Citation: Critical Care Nurse. 38(4):46-54, 2018 Aug..Journal: Critical care nurse.Published: 2018ISSN: 0279-5442.Full author list: Long D; Capan M; Mascioli S; Weldon D; Arnold R; Miller K.UI/PMID: 30068720.Subject(s): Adult | Aged | Attitude of Health Personnel | *Clinical Alarms | *Critical Care Nursing/mt [Methods] | Decision Support Systems, Clinical | *Environmental Monitoring/is [Instrumentation] | *Environmental Monitoring/mt [Methods] | *Evidence-Based Nursing/mt [Methods] | Female | Humans | Male | Middle Aged | Nursing Staff, Hospital/px [Psychology] | *Sepsis/di [Diagnosis] | *Sepsis/nu [Nursing] | Young AdultInstitution(s): MedStar Institute for InnovationActivity type: Journal Article.Medline article type(s): Journal ArticleOnline resources: Click here to access online Digital Object Identifier: (Click here) Abbreviated citation: Crit Care Nurse. 38(4):46-54, 2018 Aug.Local Holdings: Available online through MWHC library: 2002 - present.Abstract: BACKGROUND: Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers.Abstract: OBJECTIVE: To gain insight into clinical decision support systems-based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences.Abstract: METHODS: An interactive survey to display a novel user interface for clinical decision support systems for sepsis was developed and then administered to members of the nursing staff.Abstract: RESULTS: A total of 43 nurses participated in 2 interactive survey sessions. Participants preferred alerts that were based on an established treatment protocol, were presented in a pop-up format, and addressed the patient's clinical condition rather than regulatory guidelines.Abstract: CONCLUSIONS: The results can be used in future research to optimize electronic medical record alerting and clinical practice workflow to support the efficient, effective, and timely delivery of high-quality care to patients with sepsis. The research also may advance the knowledge base of what information health care providers want and need to improve the health and safety of their patients.Abstract: Copyright (c)2018 American Association of Critical-Care Nurses.

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