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.File | Dimensione | Formato | |
---|---|---|---|
IEEE-SWC-W-63.pdf
accesso riservato
Tipologia:
Pre-print (manoscritto inviato all'editore)
Dimensione
188.4 kB
Formato
Adobe PDF
|
188.4 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.