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

Author:

Capan Muge1,Schubel Laura C2ORCID,Pradhan Ishika1,Catchpole Ken3,Shara Nawar4,Arnold Ryan5,Schwartz J Sanford6,Seagull Jake7ORCID,Miller Kristen2ORCID

Affiliation:

1. LeBow College of Business, Drexel University, Philadelphia, PA, USA

2. National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, USA

3. Clinical Practice and Human Factors, Medical University of South Carolina, Charleston, SC, USA

4. Biostatistics and Biomedical Informatics, MedStar Health Research Institute, Washington, DC, USA

5. Emergency Medicine, Santa Ynez Valley Cottage Hospital, Santa Barbara, CA, USA

6. Department of Health Care Management, University of Pennsylvania, Philadelphia, PA, USA

7. MedStar Health Research Institute, Hyattsville, MD, USA

Abstract

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.

Funder

U.S. National Library of Medicine

National Institutes of Health National Library of Medicine

Publisher

SAGE Publications

Subject

Health Informatics

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