Literature DB >> 18693808

Graphical representation of the comprehensive patient flow through the hospital.

Emmanuel Chazard1, Régis Beuscart.   

Abstract

Representing the patient flow through the hospital is quite a difficult task, considering the amount of data to be taken into account. In this article, some usual visual representations are first shown, then new charts are proposed. Several real examples are given. Those charts have been implemented in a web-based query interface, using PHP5 and generating SVG outputs on the fly, without any a priori knowledge. These charts allow for representing a large amount of data on the same graph: the occupancy of each medical department, their linking and transfers, allowing to display the whole care sequence. SVG, an XML-based free vector graphics format, allows rich end-user interaction. Practical applications: length of stay reducing, cost reducing, cost breakdown, further statistical study, administrative authorizations.

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Mesh:

Year:  2007        PMID: 18693808      PMCID: PMC2655914     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  3 in total

1.  Using Treemaps to represent medical data.

Authors:  Emmanuel Chazard; Philippe Puech; Marc Gregoire; Régis Beuscart
Journal:  Stud Health Technol Inform       Date:  2006

2.  Analysis of patient flow in the emergency department and the effect of an extensive reorganisation.

Authors:  O Miró; M Sánchez; G Espinosa; B Coll-Vinent; E Bragulat; J Millá
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

3.  Estimating the cost-effectiveness of stroke units in France compared with conventional care.

Authors:  R Launois; M Giroud; A C Mégnigbêto; K Le Lay; G Présenté; M H Mahagne; I Durand; A F Gaudin
Journal:  Stroke       Date:  2004-02-19       Impact factor: 7.914

  3 in total
  2 in total

1.  Mapping the Flow of Pediatric Trauma Patients Using Process Mining.

Authors:  Ashimiyu B Durojaiye; Nicolette M McGeorge; Lisa L Puett; Dylan Stewart; James C Fackler; Peter L T Hoonakker; Harold P Lehmann; Ayse P Gurses
Journal:  Appl Clin Inform       Date:  2018-08-22       Impact factor: 2.342

2.  Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance.

Authors:  Daniel M Bean; Clive Stringer; Neeraj Beeknoo; James Teo; Richard J B Dobson
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

  2 in total

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