Operational Research Society
Health and Social Services study group meeting*
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HOSPITAL EPISODE STATISTICS
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Date: TUESDAY 25 May 2004, 17:00-18:30
Venue: 9-18 Euston Centre, University of Westminster, Room 3.02
http://www.streetmap.co.uk/streetmap.dll?G2M?X=529153&Y=182435&A=Y&Z=1
Talk 1: The Hospital Episodes Statistics data warehouse: what can
it do?
By: Sheila Dixon, Head of Output, Hospital Episodes
Statistics, Department of Health, UK
Abstract:
The Hospital Episodes Statistics (HES) database contains records of all
admitted patient care in NHS Trusts in England. With over 12 million
records per year, the database has information on patients (e.g. age, sex,
residence), their pathway through hospital (e.g. elective or emergency,
dates in and out) and some clinical data (diagnoses and operations). This
provides a resource for a number of central and local purposes, such as
defining activity, investigating trends, monitoring performance and managing
resources. Traditionally reported at national, Trust or health organisation
level, HES is also developing analysis at consultant level. This session
will look at what HES comprises, how it can be used and a selection of
examples of the analysis it offers.
Talk 2: Leveraging HES data to support health care modelling: A
data warehouse approach
By: Dr Christos Vasilakis, University of Westminster, UK
Abstract:
Data warehousing and On-Line Analytical Processing (OLAP) tools have become
the standard for analytical applications in the business world as they are
characterised by powerful data browsing capabilities. However, developing
such information systems in the health care domain poses some interesting
challenges. It is due to the particular analytical requirements of health
decision makers and the unique characteristics of health care data. This
talk gives an introduction to data warehousing and OLAP concepts, and a
description of a pertinent prototype application that is built around
Hospital Episode Statistics data. The prototype primarily supports the
analysis of bed occupancy and patient length of stay data, both seen as
critical to the development of decision models of patient flow.
* For more information contact Dr Thierry Chaussalet, Health and Social Care
Modelling Group (HSCMG), Cavendish School of Computer Science (CSCS),
Department of Mathematics, 9-18 Euston Centre, London; Tel: 020 7911 5000
ext 4310; Email: [log in to unmask]
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Dr. T.J. Chaussalet
Reader, CSCS, Dept of Mathematics
University of Westminster
9-18 Euston Centre
London NW1 3ET, UK
Tel: +44(0)207 911 5000 ext 4310
Fax: +44(0)207 915 5438
Email: [log in to unmask]
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