Visualising patient flow

Jensen, Andrew, Boyle, Justin and Khanna, Sankalp (2012). Visualising patient flow. In: Anthony J. Maeder and Fernando J. Martin-Sanchez, Health Informatics: Building a Healthcare Future Through Trusted Information. Selected Papers from the 20th Australian National Health Informatics Conference (HIC 2012). HIC 2012: 20th Australian National Health Informatics Conference, Sydney, NSW, Australia, (77-82). 30 July-2 August, 2012. doi:10.3233/978-1-61499-078-9-77


Author Jensen, Andrew
Boyle, Justin
Khanna, Sankalp
Title of paper Visualising patient flow
Conference name HIC 2012: 20th Australian National Health Informatics Conference
Conference location Sydney, NSW, Australia
Conference dates 30 July-2 August, 2012
Proceedings title Health Informatics: Building a Healthcare Future Through Trusted Information. Selected Papers from the 20th Australian National Health Informatics Conference (HIC 2012)   Check publisher's open access policy
Series Studies in Health Technology and Informatics
Place of Publication Amsterdam, Netherlands
Publisher I O S Press
Publication Year 2012
Sub-type Fully published paper
DOI 10.3233/978-1-61499-078-9-77
Open Access Status
ISBN 9781614990772
9781614990789
ISSN 0926-9630
1879-8365
Editor Anthony J. Maeder
Fernando J. Martin-Sanchez
Volume 178
Start page 77
End page 82
Total pages 6
Language eng
Formatted Abstract/Summary
We describe the development of a method to distil routinely collected clinical data into patient flow information to aid hospital bed management. Using data from state-wide emergency department and inpatient clinical information systems, a user-friendly interface was developed to visualise patient flow conditions for a particular hospital. The historical snapshots employ a variable time scale, allowing flow to be visualised across a day, week, month or year. Flow information includes occupancy, arrival and departure rates, length-of-stay and access block observations, which can be filtered by age, departure status, diagnosis, elective status, triage category, and admission unit. The tool may be helpful in supporting hospital bed managers in their daily decision making.
Subjects 2204 Religion and Religious Studies
2718 Health Informatics
3605 Health Information Management
Keyword Bed occupancy
Crowding
Decision making
Operations research
Software
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Mechanical & Mining Engineering Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 28 Nov 2013, 09:09:39 EST by System User on behalf of School of Mechanical and Mining Engineering