Title: DATA model for a multidimensional decision making in healthcare

Authors: Antonella Petrillo; Fabio De Felice; Laura Petrillo

Addresses: University of Naples 'Parthenope', Napoli, Italy ' University of Cassino and Southern Lazio, Cassino, Italy ' IRCCS San Martino, Genova, Italy

Abstract: Health technology assessment (HTA) is increasingly used in European countries to inform decision and policy making in the healthcare sector. Several countries have integrated HTA into policy, governance or regulatory processes. The present research aims to propose a new multidisciplinary approach to support and to justify decisions policies in healthcare organisations for the standardisation of HTA information and for the achievement of a more quality decisions under uncertainty, which ultimately determines the success of organisations. A multidimensional model, called DATA model - decision analytic technology assessment model - based on analytic hierarchy process and the Cyert-March-Simon model (aka Carnegie decision model) is developed. The results obtained show the potentiality of the proposed approach in prioritising critical aspects and in supporting management performance quality in healthcare system.

Keywords: health technology assessment; HTA; efficiency; analytical hierarchy process; AHP; performance improvement; quality; multicriteria decision making; MCDM; healthcare technology; healthcare systems.

DOI: 10.1504/IJMCDM.2016.077878

International Journal of Multicriteria Decision Making, 2016 Vol.6 No.2, pp.138 - 156

Received: 07 Jul 2015
Accepted: 12 Feb 2016

Published online: 20 Jul 2016 *

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