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Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration
Journal article   Open access   Peer reviewed

Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration

Muge Capan, Laura C Schubel, Ishika Pradhan, Ken Catchpole, Nawar Shara, Ryan Arnold, J Sanford Schwartz, Jake Seagull and Kristen Miller
Health informatics journal, v 28(1), pp 14604582211073075-14604582211073075
Jan 2022
DOI: https://doi.org/10.1177/14604582211073075
PMID: 35068208
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1177/14604582211073075View
Published, Version of Record (VoR)CC BY-NC V4.0,  Open

Abstract

Decision Support Systems, Clinical Hospital Mortality Humans Organ Dysfunction Scores Perception Sepsis - complications
Despite acknowledging the value of clinical decision support systems (CDSS) in identifying risk for sepsis-induced health deterioration in-hospitalized patients, the relationship between display features, decision maker characteristics, and recognition of risk by the clinical decision maker remains an understudied, yet promising, area. The objective of this study is to explore the relationship between CDSS display design and perceived clinical risk of in-hospital mortality associated with sepsis. The study utilized data collected through in-person experimental sessions with 91 physicians from the general medical and surgical floors who were recruited across 12 teaching hospitals within the United States. Results of descriptive and statistical analyses provided evidence supporting the impact of display configuration and clinical case severity on perceived risk associated with in-hospital mortality. Specifically, findings showed that a high level of information (represented by the Predisposition, Infection, Response and Organ dysfunction (PIRO) score) and Figure display (as opposed to Text or baseline) increased awareness to recognizing the risk for in-hospital mortality of hospitalized sepsis patients. A CDSS display that synthesizes the optimal features associated with information level and design elements has the potential to enhance the quantification and communication of clinical risk in complex health conditions beyond sepsis.

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1 citations in Web of Science
2 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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Collaboration types
Domestic collaboration
Web of Science research areas
Health Care Sciences & Services
Medical Informatics
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