An OLAP-enabled software environment for modeling patient flow

C. Vasilakis; E. El-Darzi; P. Chountas

doi:10.1109/IS.2006.348428

An OLAP-enabled software environment for modeling patient flow

C. Vasilakis, E. El-Darzi, P. Chountas

Management

University of Westminster

Research output: Chapter or section in a book/report/conference proceeding › Book chapter

3 Citations (SciVal)

Abstract

On-Line Analytical Processing (OLAP) tools use multidimensional views to provide quick access to information. They have become the de facto standard in the business world for analytical databases. In health care, care givers and managers could benefit from being able to perform interactive data exploration, ad-hoc analysis and possibly discover hidden trends and patterns in health data. However, health data have unique characteristics that distinguish them from common business examples, an aspect that makes the direct adaptation of the already established business oriented solutions difficult. In this paper we report the development of an OLAP system for analyzing hospital discharge data and for modeling hospital length of stay.

Original language	English
Title of host publication	IEEE Intelligent Systems
Pages	261-266
Number of pages	6
DOIs	https://doi.org/10.1109/IS.2006.348428
Publication status	Published - 1 Jan 2006
Event	3rd International IEEE Conference Intelligent Systems, IS'06 - London, UK United Kingdom Duration: 4 Sept 2006 → 6 Sept 2006

Conference

Conference	3rd International IEEE Conference Intelligent Systems, IS'06
Country/Territory	UK United Kingdom
City	London
Period	4/09/06 → 6/09/06

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10.1109/IS.2006.348428

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title = "An OLAP-enabled software environment for modeling patient flow",

abstract = "On-Line Analytical Processing (OLAP) tools use multidimensional views to provide quick access to information. They have become the de facto standard in the business world for analytical databases. In health care, care givers and managers could benefit from being able to perform interactive data exploration, ad-hoc analysis and possibly discover hidden trends and patterns in health data. However, health data have unique characteristics that distinguish them from common business examples, an aspect that makes the direct adaptation of the already established business oriented solutions difficult. In this paper we report the development of an OLAP system for analyzing hospital discharge data and for modeling hospital length of stay.",

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ER -

An OLAP-enabled software environment for modeling patient flow

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