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Paper Type
ERF
Abstract
Models of care for life limiting illnesses are changing. Drivers of this change include an ageing population, increased cancer incidence, and increased palliative care needs in chronic illnesses. Currently, specialist palliative care in the community operates by delivering a “one size fits all” service which is no longer fit for purpose to meet the growing demand while maintaining a holistic approach that meets the needs of patients and their families. To tackle this challenge, we propose an analytics solution to better support new models of specialist palliative care in the community. This article outlines the first step in this research which investigates the state of the art in analytics technology in the home healthcare and palliative care domain. This research supports our understanding of the technology currently available in order to develop a novel solution to enable data-based decision making in a specialist healthcare service.
Recommended Citation
Kupper, Mateusz; Tarim, S. Armagan; Heavin, Ciara; and Kiely, Fiona, "Towards Transformative Analytics for Palliative Care" (2020). AMCIS 2020 Proceedings. 13.
https://aisel.aisnet.org/amcis2020/adv_info_systems_research/adv_info_systems_research/13
Towards Transformative Analytics for Palliative Care
Models of care for life limiting illnesses are changing. Drivers of this change include an ageing population, increased cancer incidence, and increased palliative care needs in chronic illnesses. Currently, specialist palliative care in the community operates by delivering a “one size fits all” service which is no longer fit for purpose to meet the growing demand while maintaining a holistic approach that meets the needs of patients and their families. To tackle this challenge, we propose an analytics solution to better support new models of specialist palliative care in the community. This article outlines the first step in this research which investigates the state of the art in analytics technology in the home healthcare and palliative care domain. This research supports our understanding of the technology currently available in order to develop a novel solution to enable data-based decision making in a specialist healthcare service.
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