TY - GEN
T1 - Collaborative Communication and Monitoring Ecosystem for Elderly Care
AU - Baldissera, Thais A.
AU - De Faveri, Cristiano
AU - Oliveira, Maria A.
AU - Camarinha-Matos, Luís M.
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2024.
PY - 2024
Y1 - 2024
N2 - The advancement of technology enables better supporting the independence and well-being of elderly individuals. While there have been notable strides in healthcare solutions, there remains a need for innovative and non-intrusive approaches to enhance support for both the elderly and their caregivers. As a contribution in the context of Collaborative Networks, we present PRO-@GE, a collaborative communication and monitoring ecosystem platform designed to create an environment where different entities, including governmental and non-governmental organizations, individual or cooperative professionals, family members, and caregivers, can work together to offer more integrated and personalized services in elderly care. The functionality of this platform goes beyond providing essential information to individuals adhering to specific routines, such as medication schedules. It also enables families to stay informed about significant events in their elderly loved ones’ daily lives and interact with them at any time. Furthermore, PRO-@GE facilitates homecare provision companies in adopting novel business models, enabling the remote management of multiple individuals and ensuring prompt responses to health-related concerns. While technology plays a vital role, it is the collaborative network that truly enhances the social transformation and digital inclusion of the elderly in the modern era. Our contributions include a discussion on potential technologies for active aging, a business strategy, a conceptual model, and the implementation and validation of the proposed platform. Additionally, we discuss future directions involving Generative AI and its potential implementation in PRO-@GE.
AB - The advancement of technology enables better supporting the independence and well-being of elderly individuals. While there have been notable strides in healthcare solutions, there remains a need for innovative and non-intrusive approaches to enhance support for both the elderly and their caregivers. As a contribution in the context of Collaborative Networks, we present PRO-@GE, a collaborative communication and monitoring ecosystem platform designed to create an environment where different entities, including governmental and non-governmental organizations, individual or cooperative professionals, family members, and caregivers, can work together to offer more integrated and personalized services in elderly care. The functionality of this platform goes beyond providing essential information to individuals adhering to specific routines, such as medication schedules. It also enables families to stay informed about significant events in their elderly loved ones’ daily lives and interact with them at any time. Furthermore, PRO-@GE facilitates homecare provision companies in adopting novel business models, enabling the remote management of multiple individuals and ensuring prompt responses to health-related concerns. While technology plays a vital role, it is the collaborative network that truly enhances the social transformation and digital inclusion of the elderly in the modern era. Our contributions include a discussion on potential technologies for active aging, a business strategy, a conceptual model, and the implementation and validation of the proposed platform. Additionally, we discuss future directions involving Generative AI and its potential implementation in PRO-@GE.
KW - Aging and Technology
KW - Elderly Care Ecosystem
KW - Generative AI
KW - Innovation
KW - IoT Devices
UR - http://www.scopus.com/inward/record.url?scp=85205106838&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-71743-7_3
DO - 10.1007/978-3-031-71743-7_3
M3 - Conference contribution
AN - SCOPUS:85205106838
SN - 978-3-031-71742-0
T3 - IFIP Advances in Information and Communication Technology
SP - 34
EP - 49
BT - Navigating Unpredictability: Collaborative Networks in Non-linear Worlds
A2 - Camarinha-Matos, Luís M.
A2 - Ortiz, Angel
A2 - Boucher, Xavier
A2 - Barthe-Delanoë, Anne-Marie
PB - Springer
CY - Cham
T2 - 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024
Y2 - 28 October 2024 through 30 October 2024
ER -