| Literature DB >> 24806980 |
Andy Wong1, Erhan Kozan1, Michael Sinnott2, Lyndall Spencer3, Robert Eley2.
Abstract
With new national targets for patient flow in public hospitals designed to increase efficiencies in patient care and resource use, better knowledge of events affecting length of stay will support improved bed management and scheduling of procedures. This paper presents a case study involving the integration of material from each of three databases in operation at one tertiary hospital and demonstrates it is possible to follow patient journeys from admission to discharge.Entities:
Mesh:
Year: 2014 PMID: 24806980 DOI: 10.1071/AH13070
Source DB: PubMed Journal: Aust Health Rev ISSN: 0156-5788 Impact factor: 1.990