Towards transformative analytics for palliative care

Mateusz Kupper; Fiona Kiely; S. Armagan Tarim; Ciara Heavin

Towards transformative analytics for palliative care

Mateusz Kupper
, Fiona Kiely
, S. Armagan Tarim
, Ciara Heavin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	26th Americas Conference on Information Systems, AMCIS 2020
Publisher	Association for Information Systems
ISBN (Electronic)	9781733632546
Publication status	Published - 2020
Externally published	Yes
Event	26th Americas Conference on Information Systems, AMCIS 2020 - Salt Lake City, Virtual, United States Duration: 10 Aug 2020 → 14 Aug 2020

Publication series

Name	26th Americas Conference on Information Systems, AMCIS 2020

Conference

Conference	26th Americas Conference on Information Systems, AMCIS 2020
Country/Territory	United States
City	Salt Lake City, Virtual
Period	10/08/20 → 14/08/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

AI
Analytics
Artificial Intelligence
Healthcare
Home Healthcare
Palliative Care

Cite this

@inproceedings{8159ddf15b054bdba825674b547fbbb6,

title = "Towards transformative analytics for palliative care",

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.",

keywords = "AI, Analytics, Artificial Intelligence, Healthcare, Home Healthcare, Palliative Care",

author = "Mateusz Kupper and Fiona Kiely and \{Armagan Tarim\}, S. and Ciara Heavin",

note = "Publisher Copyright: {\textcopyright} 2020 26th Americas Conference on Information Systems, AMCIS 2020. All rights reserved.; 26th Americas Conference on Information Systems, AMCIS 2020 ; Conference date: 10-08-2020 Through 14-08-2020",

year = "2020",

language = "English",

series = "26th Americas Conference on Information Systems, AMCIS 2020",

publisher = "Association for Information Systems",

booktitle = "26th Americas Conference on Information Systems, AMCIS 2020",

address = "United States",

}

Kupper, M, Kiely, F, Armagan Tarim, S & Heavin, C 2020, Towards transformative analytics for palliative care. in 26th Americas Conference on Information Systems, AMCIS 2020. 26th Americas Conference on Information Systems, AMCIS 2020, Association for Information Systems, 26th Americas Conference on Information Systems, AMCIS 2020, Salt Lake City, Virtual, United States, 10/08/20.

Towards transformative analytics for palliative care. / Kupper, Mateusz; Kiely, Fiona; Armagan Tarim, S. et al.
26th Americas Conference on Information Systems, AMCIS 2020. Association for Information Systems, 2020. (26th Americas Conference on Information Systems, AMCIS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Towards transformative analytics for palliative care

AU - Kupper, Mateusz

AU - Kiely, Fiona

AU - Armagan Tarim, S.

AU - Heavin, Ciara

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - AI

KW - Analytics

KW - Artificial Intelligence

KW - Healthcare

KW - Home Healthcare

KW - Palliative Care

UR - https://www.scopus.com/pages/publications/85097721521

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=performanshacettepe&SrcAuth=WosAPI&KeyUT=WOS:000559924503079&DestLinkType=FullRecord&DestApp=WOS_CPL

M3 - Conference contribution

AN - SCOPUS:85097721521

T3 - 26th Americas Conference on Information Systems, AMCIS 2020

BT - 26th Americas Conference on Information Systems, AMCIS 2020

PB - Association for Information Systems

T2 - 26th Americas Conference on Information Systems, AMCIS 2020

Y2 - 10 August 2020 through 14 August 2020

ER -

Towards transformative analytics for palliative care

Abstract

Publication series

Conference

UN SDGs

Keywords

Other files and links

Fingerprint

Cite this