Government policy and healthcare management: proposal of a shared decision-making model

Petrillo, Antonella, Felice, Fabio de, Vanzanella, Carmela, Crispino, Filippo, Martin, Jennifer L., Craven, Michael P., Morgan, Stephen P. and Pecchia, Leandro (2015) Government policy and healthcare management: proposal of a shared decision-making model. International Journal of Management and Decision Making, 14 (3). pp. 183-204. ISSN 1741-5187

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Abstract

As a consequence of the current economic crisis many changes have been introduced to health systems on national levels to reduce expenditure and to introduce more cost-effective methods. Then recent developments in medical technology have led to a shift in the traditional framework of physician-patient responsibility in health care decision making. In this context, the health community urges, in any case, decision makers to ensure that all changes introduced are in accordance with Health System Values. This paper presents a new decision making platform, as a tool to facilitate shared decision making, to improve the quality and transparency of tactical and strategic decisions. This new application, based on analytic quantitative method, is a component of a wider distribute web system under development, which aims to inform the new effective health technologies supporting designers in the user need elicitation and early stage health technology assessments. A case study aiming to elicit the user needs affecting the decision of whether to adopt a new magnetic resonance imaging (MRI) is also presented.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/992763
Additional Information: Copyright Inderscience 2015
Keywords: Analytic hierarchy process, Government policy, Magnetic resonance imaging, User need elicitation, Decision making
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Psychiatry and Applied Psychology
Identification Number: https://doi.org/10.1504/IJMDM.2015.070757
Depositing User: Eprints, Support
Date Deposited: 16 Feb 2016 09:11
Last Modified: 04 May 2020 20:11
URI: https://eprints.nottingham.ac.uk/id/eprint/31734

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