Your browser doesn't support javascript.
loading
Display and perception of risk: Analysis of decision support system display and its impact on perceived clinical risk of sepsis-induced health deterioration.
Capan, Muge; Schubel, Laura C; Pradhan, Ishika; Catchpole, Ken; Shara, Nawar; Arnold, Ryan; Schwartz, J Sanford; Seagull, Jake; Miller, Kristen.
Afiliación
  • Capan M; LeBow College of Business, 6527Drexel University, Philadelphia, PA, USA.
  • Schubel LC; National Center for Human Factors in Healthcare, 121577MedStar Health Research Institute, Washington, DC, USA.
  • Pradhan I; LeBow College of Business, 6527Drexel University, Philadelphia, PA, USA.
  • Catchpole K; Clinical Practice and Human Factors, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Shara N; Biostatistics and Biomedical Informatics, 121577MedStar Health Research Institute, Washington, DC, USA.
  • Arnold R; Emergency Medicine, 22856Santa Ynez Valley Cottage Hospital, Santa Barbara, CA, USA.
  • Schwartz JS; Department of Health Care Management, 51288University of Pennsylvania, Philadelphia, PA, USA.
  • Seagull J; 121577MedStar Health Research Institute, Hyattsville, MD, USA.
  • Miller K; National Center for Human Factors in Healthcare, 121577MedStar Health Research Institute, Washington, DC, USA.
Health Informatics J ; 28(1): 14604582211073075, 2022.
Article en En | MEDLINE | ID: mdl-35068208
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.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sepsis / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Health Informatics J Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sepsis / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Health Informatics J Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos