Academic Journal
A Novel Continuous Real-Time Vital Signs Viewer for Intensive Care Units: Design and Evaluation Study.
| Τίτλος: | A Novel Continuous Real-Time Vital Signs Viewer for Intensive Care Units: Design and Evaluation Study. |
|---|---|
| Συγγραφείς: | Yang S; Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States., Galvagno S; Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States., Badjatia N; Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States., Stein D; Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States., Teeter W; Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States., Scalea T; Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States., Shackelford S; United States Air Force Academy, Colorado Springs, CO, United States., Fang R; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States., Miller C; Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States., Hu P; Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States. |
| Συλλογικό Έργο: | VS viewer study group; See Acknowledgments, . |
| Πηγή: | JMIR human factors [JMIR Hum Factors] 2024 Jan 05; Vol. 11, pp. e46030. Date of Electronic Publication: 2024 Jan 05. |
| Τύπος έκδοσης: | Journal Article; Research Support, Non-U.S. Gov't |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101666561 Publication Model: Electronic Cited Medium: Internet ISSN: 2292-9495 (Electronic) Linking ISSN: 22929495 NLM ISO Abbreviation: JMIR Hum Factors Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Toronto : JMIR Publications Inc, [2014]- |
| Ιατρικοί όροι (MeSH): | Intensive Care Units* , Vital Signs* , Monitoring, Physiologic*, Humans ; Blood Pressure ; Heart Rate ; Respiratory Rate |
| Περίληψη: | Background: Clinicians working in intensive care units (ICUs) are immersed in a cacophony of alarms and a relentless onslaught of data. Within this frenetic environment, clinicians make high-stakes decisions using many data sources and are often oversaturated with information of varying quality. Traditional bedside monitors only depict static vital signs data, and these data are not easily viewable remotely. Clinicians must rely on separate nursing charts-handwritten or electric-to review physiological patterns, including signs of potential clinical deterioration. An automated physiological data viewer has been developed to provide at-a-glance summaries and to assist with prioritizing care for multiple patients who are critically ill. Objective: This study aims to evaluate a novel vital signs viewer system in a level 1 trauma center by subjectively assessing the viewer's utility in a high-volume ICU setting. Methods: ICU attendings were surveyed during morning rounds. Physicians were asked to conduct rounds normally, using data reported from nurse charts and briefs from fellows to inform their clinical decisions. After the physician finished their assessment and plan for the patient, they were asked to complete a questionnaire. Following completion of the questionnaire, the viewer was presented to ICU physicians on a tablet personal computer that displayed the patient's physiologic data (ie, shock index, blood pressure, heart rate, temperature, respiratory rate, and pulse oximetry), summarized for up to 72 hours. After examining the viewer, ICU physicians completed a postview questionnaire. In both questionnaires, the physicians were asked questions regarding the patient's stability, status, and need for a higher or lower level of care. A hierarchical clustering analysis was used to group participating ICU physicians and assess their general reception of the viewer. Results: A total of 908 anonymous surveys were collected from 28 ICU physicians from February 2015 to June 2017. Regarding physicians' perception of whether the viewer enhanced the ability to assess multiple patients in the ICU, 5% (45/908) strongly agreed, 56.6% (514/908) agreed, 35.3% (321/908) were neutral, 2.9% (26/908) disagreed, and 0.2% (2/908) strongly disagreed. Conclusions: Morning rounds in a trauma center ICU are conducted in a busy environment with many data sources. This study demonstrates that organized physiologic data and visual assessment can improve situation awareness, assist clinicians with recognizing changes in patient status, and prioritize care. (©Shiming Yang, Samuel Galvagno, Neeraj Badjatia, Deborah Stein, William Teeter, Thomas Scalea, Stacy Shackelford, Raymond Fang, Catriona Miller, Peter Hu, VS viewer study group. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 05.01.2024.) |
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| Contributed Indexing: | Investigator: C Mackenzie; S Wade; L Hartsky; T Grissom; N Roux; D Floccare; A Engdahl; S Murray; R Kozar; S Murthi; L Buchanan; N Reynolds; G Parikh; M Brenner Keywords: clinical decision-making; health information technology; intensive care units; patient care prioritization; physiological monitoring; visualization; vital signs |
| Entry Date(s): | Date Created: 20240105 Date Completed: 20240108 Latest Revision: 20250610 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC10799282 |
| DOI: | 10.2196/46030 |
| PMID: | 38180791 |
| Βάση Δεδομένων: | MEDLINE |
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