DHAASS 2020 - 2ND IEEE DIGITAL HEALTH AS A SERVICE SYMPOSIUM
Topics/Call fo Papers
DHAASS which will be held July 8-9, 2020, aims to bring together leading researchers, community leaders and visionaries from academia and industry, end-users, and healthcare professionals, in the area of digital health to share their research, practical experience, and visions of the future of sustainable health and social care transformations.
Looking at the health and integrated care system through services spectacles reveal significant opportunities for engaging digital health to affect an ecosystem shift in which a new health delivery model is unleashed. Engaging multiple and new roles, including communities and individual patients in their own integrated healthcare services delivery is one of the promising opportunities which can be made possible by the microservices structuring of the health and care system . Broadly speaking, related discovery, composition and provision of healthcare services will need to be based on cutting-edge computer technologies and digital media/data so that quality factors including timing, granularity, scale, cost-effectiveness, safety, security, privacy, and precision are integral parts of the healthcare value chain ecosystem. Digital Health services can include, among many other innovative methods, preventive and predictive capabilities of machine learning based data analytics, actionable recommendations based on in-situ monitoring and assessment of an individual’s real-time physical and cognitive performance, trade-off analysis between cloud-based versus edge-based sensory data streaming and data analytics.
DHAASS will embrace a broad spectrum of issues and concerns, including, but not limited to, the following topics related to digital health as services:
Microservices models and architectures of health and integrated care services
Disease/condition-specific provider microservice design (e.g., diabetes, obesity, COPD, dementia, post cancer treatment, allergies, Ear, Nose and Throat Conditions (ENT))
Patient/user-side microservices design (user needs, social isolation, assistive living for older adults and individuals with special needs, emergencies)
Standardizing provider-side and user-side microservices. FHIR resources, profiles and extension for digital health as a service
Microservices-based delivery pathways co-design and provider acceptability
Informatic, cybernetic and mediatic digital health platforms supportive of implementing microservices architecture
Community crowd-sourcing for delivery of health and care microservices
-----Microservices crowd-sourcing platforms
-----Worker training and selection, reputation management, and micropayments
Mediation technology for peer group support (peer-sourcing)
Qualifying and activating user-side microservice requests: eligibility, fairness, properness, among other qualifications including irrational service user models (e.g., a dementia patient requesting the microservice repeatedly and forgetfully)
mHealth services and applications which include the use of mobile devices
-----in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers and patients,
-----for real-time monitoring of patient vital signs and the direct provision of care (via mobile telemedicine)
-----for training and collaboration of health workers.
Health economics of microservices-oriented care delivery systems
-----Scalability issues for adopting digital health as services
-----Empirical study on savings in unit and total cost realized by patient and community engagement
Looking at the health and integrated care system through services spectacles reveal significant opportunities for engaging digital health to affect an ecosystem shift in which a new health delivery model is unleashed. Engaging multiple and new roles, including communities and individual patients in their own integrated healthcare services delivery is one of the promising opportunities which can be made possible by the microservices structuring of the health and care system . Broadly speaking, related discovery, composition and provision of healthcare services will need to be based on cutting-edge computer technologies and digital media/data so that quality factors including timing, granularity, scale, cost-effectiveness, safety, security, privacy, and precision are integral parts of the healthcare value chain ecosystem. Digital Health services can include, among many other innovative methods, preventive and predictive capabilities of machine learning based data analytics, actionable recommendations based on in-situ monitoring and assessment of an individual’s real-time physical and cognitive performance, trade-off analysis between cloud-based versus edge-based sensory data streaming and data analytics.
DHAASS will embrace a broad spectrum of issues and concerns, including, but not limited to, the following topics related to digital health as services:
Microservices models and architectures of health and integrated care services
Disease/condition-specific provider microservice design (e.g., diabetes, obesity, COPD, dementia, post cancer treatment, allergies, Ear, Nose and Throat Conditions (ENT))
Patient/user-side microservices design (user needs, social isolation, assistive living for older adults and individuals with special needs, emergencies)
Standardizing provider-side and user-side microservices. FHIR resources, profiles and extension for digital health as a service
Microservices-based delivery pathways co-design and provider acceptability
Informatic, cybernetic and mediatic digital health platforms supportive of implementing microservices architecture
Community crowd-sourcing for delivery of health and care microservices
-----Microservices crowd-sourcing platforms
-----Worker training and selection, reputation management, and micropayments
Mediation technology for peer group support (peer-sourcing)
Qualifying and activating user-side microservice requests: eligibility, fairness, properness, among other qualifications including irrational service user models (e.g., a dementia patient requesting the microservice repeatedly and forgetfully)
mHealth services and applications which include the use of mobile devices
-----in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers and patients,
-----for real-time monitoring of patient vital signs and the direct provision of care (via mobile telemedicine)
-----for training and collaboration of health workers.
Health economics of microservices-oriented care delivery systems
-----Scalability issues for adopting digital health as services
-----Empirical study on savings in unit and total cost realized by patient and community engagement
Other CFPs
Last modified: 2019-11-16 16:30:40