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: | Autore Email Improta, Giovanni ing.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: | nome email Mensitieri, Giuseppe giuseppe.mensitieri@unina.it |
| Tutor: | nome email 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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