Hospital Emergency Department: An Insight by Means of Quantitative Methods
Paolo Cremonesi, Marcello Montefiori*, Marina Resta
Identifiers and Pagination:Year: 2012
First Page: 26
Last Page: 35
Publisher Id: TOPHARMEJ-4-26
Article History:Received Date: 20/1/2012
Revision Received Date: 23/2/2012
Acceptance Date: 3/03/2012
Electronic publication date: 13/4/2012
Collection year: 2012
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In this work we will examine the activity of the Emergency Department (ED) of an Italian primary Hospital by way of real data. Data will be analyzed both via econometrics and data mining (namely: dimensions reduction) models. Our findings demonstrate that using a quantitative exploratory approach to the study of ED data makes it possible to gain suitable information for both the hospital's management and the policymaker, hence contributing to a better understanding of EDs activity and to address its accurate programming. The new approach we suggest is intended to put at decisionmaker disposal a set of tools that surfing on the available data make it possible to skim the very relevant information (and hence to reject negligible elements) extracting from the whole set of determinants only those of effective relevance. This, in our opinion, could be a key issue to both verifying the actual performance, and to put forth new policies to improve efficiency and quality as well.