Public Health Policy making process is usually supported by traditional methods to assist the evaluation, like pseudo-evaluation methods and formal evaluation methods, to name but a few. In this paper, we propose the adoption of a Big Data platform supporting the definition and evaluation of a Public Health Policy allowing evidence-based analysis and reducing the need of costly clinical trials. The paper presents a formalized Public Health Policy in deontic logic form, the methodology of the policy making process, and the structure of the Big Data platform implementing the methodology. Concluding, we carried out a preliminary evaluation on a real case study demonstrating the benefits of our approach.

Big Data Platform for Public Health Policies / M. Anisetti, V. Bellandi, M. Cremonini, E. Damiani, J. Maggesi - In: International Conference on Smart World Congress : Proceedings[s.l] : IEEE, 2017. - ISBN 9781538604359. (( Intervento presentato al 3. convegno SmartWorld tenutosi a East Bay of Silicon Valley nel 2017.

Big Data Platform for Public Health Policies

M. Anisetti;V. Bellandi;M. Cremonini;E. Damiani;J. Maggesi
2017

Abstract

Public Health Policy making process is usually supported by traditional methods to assist the evaluation, like pseudo-evaluation methods and formal evaluation methods, to name but a few. In this paper, we propose the adoption of a Big Data platform supporting the definition and evaluation of a Public Health Policy allowing evidence-based analysis and reducing the need of costly clinical trials. The paper presents a formalized Public Health Policy in deontic logic form, the methodology of the policy making process, and the structure of the Big Data platform implementing the methodology. Concluding, we carried out a preliminary evaluation on a real case study demonstrating the benefits of our approach.
Big Data; policy; Health
Settore INF/01 - Informatica
2017
IEEE
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/527993
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