Improta, Giovanni (2017) Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato | ||||||
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| Lingua: | English | ||||||
| Title: | Dynamic Analytic Hierarchy Process: a new approach to technology assessment to support healthcare processes | ||||||
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| Date: | 8 April 2017 | ||||||
| Number of Pages: | 219 | ||||||
| Institution: | Università degli Studi di Napoli Federico II | ||||||
| Department: | Ingegneria Chimica, dei Materiali e della Produzione Industriale | ||||||
| Dottorato: | Ingegneria dei prodotti e dei processi industriali | ||||||
| Ciclo di dottorato: | 29 | ||||||
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| Date: | 8 April 2017 | ||||||
| Number of Pages: | 219 | ||||||
| Uncontrolled Keywords: | 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 | ||||||
| Date Deposited: | 25 Apr 2017 17:10 | ||||||
| Last Modified: | 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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