TY - JOUR
T1 - Simulating the impact of an online digital dashboard in emergency departments on patients length of stay
AU - Mazor, Igal
AU - Heart, Tsipi
AU - Even, Adir
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2016/6/10
Y1 - 2016/6/10
N2 - Abstract: Overcrowding at EDs is a world known problem which negatively affects the quality of medical care. It is evident, for example, by long patients’ waiting times. EDs frequently use average patients’ length of stay (LOS) as a performance indicator. Long LOS is commonly correlated with overcrowding. In this research, a prototype of an electronic online digital dashboard, termed operational BI, was developed following the Design Science Research methodology. The system is targeted to be used by the ED staff. Simulation was used to assess if such a system, which displays ED’s critical data in a dashboard visualisation, can decrease LOS, thereby ease EDs’ overcrowding. Six scenarios were simulated, depicting various use patterns. The results show a potential decrease of 34–44% in average LOS, depending on the use pattern. These are promising results that call for further, real-world examination of the system.
AB - Abstract: Overcrowding at EDs is a world known problem which negatively affects the quality of medical care. It is evident, for example, by long patients’ waiting times. EDs frequently use average patients’ length of stay (LOS) as a performance indicator. Long LOS is commonly correlated with overcrowding. In this research, a prototype of an electronic online digital dashboard, termed operational BI, was developed following the Design Science Research methodology. The system is targeted to be used by the ED staff. Simulation was used to assess if such a system, which displays ED’s critical data in a dashboard visualisation, can decrease LOS, thereby ease EDs’ overcrowding. Six scenarios were simulated, depicting various use patterns. The results show a potential decrease of 34–44% in average LOS, depending on the use pattern. These are promising results that call for further, real-world examination of the system.
KW - Emergency department (ED)
KW - business intelligence (BI)
KW - digital dashboard
KW - electronic medical record (EMR)
KW - operational BI
UR - http://www.scopus.com/inward/record.url?scp=84976504887&partnerID=8YFLogxK
U2 - 10.1080/12460125.2016.1187422
DO - 10.1080/12460125.2016.1187422
M3 - Article
AN - SCOPUS:84976504887
SN - 1246-0125
VL - 25
SP - 343
EP - 353
JO - Journal of Decision Systems
JF - Journal of Decision Systems
ER -