TY - GEN
T1 - Signaling sepsis scenario development & validation
AU - Weldon, Danielle L.M.
AU - Kowalski, Rebecca
AU - Schube, Laura
AU - Schuchardt, Brett
AU - Arnold, Ryan
AU - Capan, Muge
AU - Blumenthal, Joseph
AU - Franklin, Ella
AU - Catchpole, Ken
AU - Seagull, F. Jacob
AU - Schwartz, J. Sanford
AU - Miller, Kristen
N1 - Publisher Copyright:
© 2018 Human Factors an Ergonomics Society Inc.. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Patient-based scenario-driven usability tests are routinely created for health information technology and clinical decision support evaluations. Due to low clinician awareness of sepsis, a study was undertaken to understand clinician performance and preference of different display types for sepsis clinical decision support through multi-centered usability testing. Patient-based clinical scenarios were created to mimic the environment in which providers would interact with clinical decision support. The data provided in the scenarios were drawn from real patient cases from two sepsis databases, including: demographics, visit/operational details, medical history (comorbidities, assessments, vital signs, laboratory values, clinician documentation), and patient disposition/outcomes. The purpose of this work is to inform electronic health record alert optimization and clinical practice workflow to support the effective and timely delivery of high quality sepsis care. This paper discusses the methodology, selection, and validation of patient-based cases used as the clinical scenarios in usability testing.
AB - Patient-based scenario-driven usability tests are routinely created for health information technology and clinical decision support evaluations. Due to low clinician awareness of sepsis, a study was undertaken to understand clinician performance and preference of different display types for sepsis clinical decision support through multi-centered usability testing. Patient-based clinical scenarios were created to mimic the environment in which providers would interact with clinical decision support. The data provided in the scenarios were drawn from real patient cases from two sepsis databases, including: demographics, visit/operational details, medical history (comorbidities, assessments, vital signs, laboratory values, clinician documentation), and patient disposition/outcomes. The purpose of this work is to inform electronic health record alert optimization and clinical practice workflow to support the effective and timely delivery of high quality sepsis care. This paper discusses the methodology, selection, and validation of patient-based cases used as the clinical scenarios in usability testing.
UR - http://www.scopus.com/inward/record.url?scp=85072723660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072723660&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85072723660
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 615
EP - 619
BT - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PB - Human Factors and Ergonomics Society Inc.
T2 - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
Y2 - 1 October 2018 through 5 October 2018
ER -