A Blueprint for Pervasive Self-Care Infrastructures

International Journal of Telemedicine and Applications

Spinicci

Giuli

2008

Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity.

Section: Related Workmentioning

confidence: 99%

ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance

International Journal of Telemedicine and Applications

Spinicci

Giuli

2008

“…More specifically, for what concerns chronic conditions, semantic web technologies have been used to build an ontology-based context model for modeling agitation behavior in persons with dementia [8].…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based Context Model for Home Health Monitoring and Alerting in Chronic Patient Care Networks

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)

Giuli

2007

New care models have been defined in order to manage the increasing impact of chronic conditions. These models pose several technology-oriented challenges for home-based continuous care, requiring assistance services based on collaboration among different stakeholders: health operators, patient relatives, as well as social community members. This work describes an ontology-based context model and a related context management middleware providing a reusable and extensible application framework for monitoring and assisting patients at home. It provides flexible instruments for patient health status and social context representation, as well as reasoning mechanisms for alarm situation handling.

“…In [12] social network analysis is applied to the study of continuous care networks. Chronic care model principles have been taken into account in the conception of Pervasive Self Care, a ubiquitous computing service infrastructure conceptual framework [13]. First experimentation results have been reported in [14], where a telemedicine system is used for the home care of patients suffering from Chronic Obtrusive Pulmonary Disease; its functionalities include communication facilities between patients and care team, and data sharing within the care team itself.…”

Section: Related Researchmentioning

confidence: 99%

ERMHAN: A multi-channel context-aware platform to support mobile caregivers in continuous care networks

IEEE International Conference on Pervasive Services

Spinicci

Mamelli³

et al. 2007

Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives and social community members. ERMHAN is a multi-channel context-aware service platform designed to support care networks in cooperating and sharing information with the common goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach.