Improta, Giovanni (2017) Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes
Autori:
AutoreEmail
Improta, Giovanniing.improta@gmail.com
Data: 8 Aprile 2017
Numero di pagine: 219
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria Chimica, dei Materiali e della Produzione Industriale
Dottorato: Ingegneria dei prodotti e dei processi industriali
Ciclo di dottorato: 29
Coordinatore del Corso di dottorato:
nomeemail
Mensitieri, Giuseppegiuseppe.mensitieri@unina.it
Tutor:
nomeemail
Santillo, Liberatina Carmela[non definito]
Triassi, Maria[non definito]
Data: 8 Aprile 2017
Numero di pagine: 219
Parole chiave: AHP; Analytic Hierarchy Process; HTA; Health Technology Assessment; Decision Making; Healthcare
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-IND/17 - Impianti industriali meccanici
Depositato il: 25 Apr 2017 17:10
Ultima modifica: 08 Mar 2018 13:48
URI: http://www.fedoa.unina.it/id/eprint/11645

Abstract

The Analytic Hierarchy Process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. In particular, AHP is used around the world in a wide variety of decision situations decomposing the relative decision problem into a hierarchy of more easily-comprehended sub-problems, each of which can be analyzed independently. Our thesis work aims to provide a dynamic view of the AHP to overcome the static nature of the methodology, taking into account the evaluations associated with criteria and alternatives as a function of time and considering internal dependence loop. First, we have defined the decision problem and decomposed hierarchically criteria and sub-criteria, and later, we have developed several System Dynamics models. Our case study concerned with evaluating a new health technology for the assay of thyroglobulin in patients with differentiated thyroid cancer. Indeed, the dynamic AHP provides a dynamic image of the system where the best decision can be different compared to all decisions obtained at different times.

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