Smart Health 2.0
Selected Publications:

Verde L., De Pietro G., Veltri P., Sannino G. “An m-health system for the estimation of voice disorders.”Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on. IEEE, 2015.

Sannino G., Forastiere M., De Pietro G. “A Wellness Mobile Application for Smart Health: Pilot Study Design and Results.” Sensors 17.3 (2017): 611.

Sannino G., Graziani A., De Pietro G., Pratola R. “Wellness & LifeStyle Server: A platform for anthropometric and LifeStyle data analysis.” International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. Springer International Publishing, 2016.

Verde L., De Pietro G., Veltri P., Sannino G. “A noise-aware methodology for a Mobile Voice Screening application.” Advances in Sensors and Interfaces (IWASI), 2015 6th IEEE International Workshop on. IEEE, 2015.

Forastiere M. De Pietro G., Sannino G. “An mHealth application for a personalized monitoring of one’s own wellness: Design and development.” Innovation in Medicine and Healthcare 2016. Springer International Publishing, 2016. 269-278.

Verde L., De Pietro G., Sannino G. “Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application.” Ambient Intelligence-Software and Applications–7th International Symposium on Ambient Intelligence (ISAmI 2016). Springer, Cham, 2016.

Cuomo S., De Pietro G., Farina R., Galletti, A., Sannino, G. A revised scheme for real time ecg signal denoising based on recursive filtering. Biomedical Signal Processing and Control, 27, 134-144 (2016).

A. Minutolo, M. Esposito, G. De Pietro, “An Ontology-Based Approach for Representing Medical Recommendations in mHealth Applications”, in Innovation in Medicine and Healthcare 2016 (Y.W. Chen, S. Tanaka, R. J. Howlett, L. C. Jain, eds.), Smart Innovation, Systems and Technologies, vol. 60, pp. 171-182, Springer International Publishing, ISBN 978-3-319-39686-6, DOI 10.1007/978-3-319-39687-3_17, 2016.

A. Minutolo, A. Esposito, M. Ciampi, M. Esposito, and G. Cassetti, “An automatic method for deriving OWL ontologies from XML documents”, in Proceedings of the 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pp. 426-431, ISBN 978-1-4799-4171-1, DOI 10.1109/3PGCIC.2014.88, Guangzhou, Cina, 2014.

A. Minutolo, M. Esposito, G. De Pietro, “Optimization of rule-based systems in mHealth applications”, Engineering Applications of Artificial Intelligence, vol. 59, pp. 103-121, ISSN 0952-1976, DOI 10.1016/j.engappai.2016.12.007, 2017.

A. Minutolo, M. Esposito, G. De Pietro, “Design and validation of a light-weight reasoning system to support remote health monitoring applications”, Engineering Applications of Artificial Intelligence, vol. 41, pp. 232-248, ISSN 0952-1976, DOI 10.1016/j.engappai.2015.01.019, 2015.

Smart Health 2.0

Smart Health 2.0: “Smart Health” e “Cluster ODSH – SmartFSE – Staywell” Approvati sul tema Smart Health con D.D. 626/Ric e 703/Ric.

START DATE:  November 2012
END DATE: May 2015

The Smart Health 2.0 project was one of the most important Research and Development projects in the Healthcare domain, aimed at innovating the Health System through ICT technologies. Co-funded under the “Smart Cities and Communities and Social Innovation” program – PON Research and Competitiveness 2013, supported by the Ministry of Education, University and Research (MIUR), the project, of about 46 millions of euros and lasting 3 years, has represented one of the largest public investments in health innovation since the 80s. The project is derived from the integration of the two projects titled “Smart Health” and “Cluster ODSH – SmartFSE – Staywell” presented under the Smart Health context of the Notice D.D. 84 / Ric of 2 March 2012 and approved with D.D. 626 / Ric of 8 October 2012 and 703 / Ric of 19 October 2012. The two projects then set up a unitary group of research activities aimed at guiding the main issues of Health 2.0, proposing, as a “vision”, the realization of an innovative technological infrastructure for e-health, on which to develop various services for the activation of new models of activities in the area of health and well-being. The project was attended by 15 companies, large industries and SMEs, and 10 between universities and research centers. In more detail, the project, divided into several lines of research, has chosen the overall objective of developing an innovative technological infrastructure, with applications at the supra-regional, local and individual levels, capable of enabling new models of intervention in the main moments of health and well-being of citizens, from the “pre-clinical” area (wellbeing, lifestyles and prevention), to the management of emergencies and of acute crisis (diagnosis through innovative sensors, optimization of health paths) up to dehospitalization, home caring and telemedicine services in chronicity. The connection between the “vertical” elements of the healthcare path has been designed in an “open” mode on a “cloud” horizontal technological platform. The information has been shared according to the paradigm of the 2nd generation Electronic Health Record (compatible with the InFSE specifications and consistent with the National Guidelines), able to allow the technical, semantic and organizational interoperability for the exchange of data and for aggregation and intelligent monitoring of health events. In this context, the development of a platform for the formalization and optimization of care profiles has been also envisaged, capable of capitalizing the information present in heterogeneous and distributed health databases. Finally, high value-added application services have been created with varied objectives, from the prevention and management of wellness and lifestyle through app, to the local medicine and the detection and monitoring of pathologies using advanced sensors, until the access to heterogeneous social and health services, the governance of health processes, the control of clinical risk (risk management) and the empowerment of health workers. The experimental phase of the services and applications developed has involved the Italian regions of Calabria, Campania, Puglia and Sicily.

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