TY - GEN
T1 - VizCom
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
AU - Faiola, Anthony
AU - Chartash, David
AU - Srinivas, Preethi
AU - Doebbeling, Bradley
AU - Karanam, Yamini
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - The Intensive Care Unit (ICU) has the highest annual mortality rate (4.4M) of any hospital unit or 25% of all clinical admissions. Studies show a relationship between clinician cognitive load and workflow, and their impact on patient safety and the subsequent occurrence of medical mishaps due to diagnostic error - in spite of advances in health information technology, e.g., bedside and clinical decision support (CDS) systems. The aim of our research is to: 1) investigate the root causes (underlying mechanisms) of ICU error related to the effects of clinical workflow: medical cognition, team communication/collaboration, and the use of diagnostic/CDS systems and 2) construct and validate a novel workflow model that supports improved clinical workflow, with goals to decrease adverse events, increase safety, and reduce intensivist time, effort, and cognitive resources. Lastly, our long-term objective is to apply data from aims one and two to design the next generation of diagnostic visualization-communication (VizCom) system that improves intensive care workflow, communication, and effectiveness in healthcare.
AB - The Intensive Care Unit (ICU) has the highest annual mortality rate (4.4M) of any hospital unit or 25% of all clinical admissions. Studies show a relationship between clinician cognitive load and workflow, and their impact on patient safety and the subsequent occurrence of medical mishaps due to diagnostic error - in spite of advances in health information technology, e.g., bedside and clinical decision support (CDS) systems. The aim of our research is to: 1) investigate the root causes (underlying mechanisms) of ICU error related to the effects of clinical workflow: medical cognition, team communication/collaboration, and the use of diagnostic/CDS systems and 2) construct and validate a novel workflow model that supports improved clinical workflow, with goals to decrease adverse events, increase safety, and reduce intensivist time, effort, and cognitive resources. Lastly, our long-term objective is to apply data from aims one and two to design the next generation of diagnostic visualization-communication (VizCom) system that improves intensive care workflow, communication, and effectiveness in healthcare.
KW - Activity
KW - Cognition
KW - Critical decision-support
KW - Healthcare
KW - Human error
KW - Interface design
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84900561293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900561293&partnerID=8YFLogxK
U2 - 10.1145/2559206.2581332
DO - 10.1145/2559206.2581332
M3 - Conference contribution
AN - SCOPUS:84900561293
SN - 9781450324748
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1705
EP - 1710
BT - CHI EA 2014
PB - Association for Computing Machinery
Y2 - 26 April 2014 through 1 May 2014
ER -