Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance
Daniel M. Bean, Clive Stringer, Neeraj Beeknoo, James Teo, Richard Dobson
This study analyzes patient flow networks in two UK hospitals to identify sub-networks linked to A&E performance, finding that 13-17% of edges account for 83-90% of flow and that clinical decision units correlate with better A&E outcomes.
PLoS ONE · Oct 2, 2017Peer-reviewedBioinformatics