Authors:
Nerea Almeda
1
;
Carlos García-Alonso
1
;
José Alberto Salinas-Pérez
1
;
Mencía R. Gutiérrez-Colosía
1
and
Luis Salvador-Carulla
2
Affiliations:
1
Universidad Loyola Andalucía, Spain
;
2
University of Sydney, Australia
Keyword(s):
Relative Technical Efficiency, Monte-Carlo DEA, Simulation, Data Envelopment Analysis, Expert Knowledge, Decision Support Systems, Operation Research in Health, Small Mental Health Areas.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Information Systems Analysis and Specification
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Operational Research
;
OR in Health
;
Pattern Recognition
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
Mental disorders cause an enormous burden to society. Considering the current economic context, an efficient use of scarce inputs, with an appropriate outcome production, is crucial. This situation defines a classical Relative Technical Efficiency (RTE) problem. A well-known methodology to assess RTE is the Data Envelopment Analysis, although it presents some limitations. These may be overcome through a hybrid strategy that integrates Monte-Carlo simulation and artificial intelligence. This study aims to (1) design of a Decision Support System for the assessment of RTE of Small Mental Health Areas based on DEA; and (2) analyse 19 mental health areas of the Bizkaian Healthcare System (Spain) to classify them and to identify potential management improvements. The results have showed higher global RTE in the output-oriented orientation than in the input-oriented one. This suggests that a decision strategy based on improving the input management, within the ranges of the expert-driven mo
del of community healthcare, could be appropriate. A future research line will focus our attention on the validation process through the analysis of micromanagement
interventions and their potential impacts in the real system.
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