Understanding patient experience: a deployment study in cardiac remote monitoring

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Understanding patient experience : a deployment study in cardiac remote monitoring. / Andersen, Tariq O.; Andersen, Pernille R. D.; Kornum, Anders C.; Larsen, Trine M. .

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. red. / Nuria Oliver; Mary Czerwinski; Aleksandar Matic. Association for Computing Machinery, 2017. s. 221-230 .

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Andersen, TO, Andersen, PRD, Kornum, AC & Larsen, TM 2017, Understanding patient experience: a deployment study in cardiac remote monitoring. i N Oliver, M Czerwinski & A Matic (red), Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery, s. 221-230 , 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, Barcelona, Spanien, 23/05/2017. https://doi.org/10.1145/3154862.3154868

APA

Andersen, T. O., Andersen, P. R. D., Kornum, A. C., & Larsen, T. M. (2017). Understanding patient experience: a deployment study in cardiac remote monitoring. I N. Oliver, M. Czerwinski, & A. Matic (red.), Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (s. 221-230 ). Association for Computing Machinery. https://doi.org/10.1145/3154862.3154868

Vancouver

Andersen TO, Andersen PRD, Kornum AC, Larsen TM. Understanding patient experience: a deployment study in cardiac remote monitoring. I Oliver N, Czerwinski M, Matic A, red., Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. Association for Computing Machinery. 2017. s. 221-230 https://doi.org/10.1145/3154862.3154868

Author

Andersen, Tariq O. ; Andersen, Pernille R. D. ; Kornum, Anders C. ; Larsen, Trine M. . / Understanding patient experience : a deployment study in cardiac remote monitoring. Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. red. / Nuria Oliver ; Mary Czerwinski ; Aleksandar Matic. Association for Computing Machinery, 2017. s. 221-230

Bibtex

@inproceedings{ee69347ff71848f8a0bd1488f5cd8af1,
title = "Understanding patient experience: a deployment study in cardiac remote monitoring",
abstract = "The term 'patient experience' is currently part of a global discourse on ways to improve healthcare. This study empirically explores what patient experience is in cardiac remote monitoring and considers the implications for user experience (UX). Through interviews around the deployment of a mobile app that enables patients to collaborate with clinicians, we unpack experiences in six themes and present narratives of patients' lifeworlds. We find that patients' emotions are grounded in negative feelings (uncertainty, anxiety, loss of hope) and that positive experiences (relief, reassurance, safety) arise from getting feedback on symptoms and from continuous and comforting interaction with clinicians. With this paper, we aim to sensitise UX researchers and designers of patient-centred e-health by proposing three UX dimensions: connectedness, comprehension, and compassion.",
author = "Andersen, {Tariq O.} and Andersen, {Pernille R. D.} and Kornum, {Anders C.} and Larsen, {Trine M.}",
year = "2017",
doi = "10.1145/3154862.3154868",
language = "English",
isbn = "978-1-4503-6363-1",
pages = "221--230",
editor = "Nuria Oliver and Mary Czerwinski and Aleksandar Matic",
booktitle = "Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - Understanding patient experience

T2 - a deployment study in cardiac remote monitoring

AU - Andersen, Tariq O.

AU - Andersen, Pernille R. D.

AU - Kornum, Anders C.

AU - Larsen, Trine M.

PY - 2017

Y1 - 2017

N2 - The term 'patient experience' is currently part of a global discourse on ways to improve healthcare. This study empirically explores what patient experience is in cardiac remote monitoring and considers the implications for user experience (UX). Through interviews around the deployment of a mobile app that enables patients to collaborate with clinicians, we unpack experiences in six themes and present narratives of patients' lifeworlds. We find that patients' emotions are grounded in negative feelings (uncertainty, anxiety, loss of hope) and that positive experiences (relief, reassurance, safety) arise from getting feedback on symptoms and from continuous and comforting interaction with clinicians. With this paper, we aim to sensitise UX researchers and designers of patient-centred e-health by proposing three UX dimensions: connectedness, comprehension, and compassion.

AB - The term 'patient experience' is currently part of a global discourse on ways to improve healthcare. This study empirically explores what patient experience is in cardiac remote monitoring and considers the implications for user experience (UX). Through interviews around the deployment of a mobile app that enables patients to collaborate with clinicians, we unpack experiences in six themes and present narratives of patients' lifeworlds. We find that patients' emotions are grounded in negative feelings (uncertainty, anxiety, loss of hope) and that positive experiences (relief, reassurance, safety) arise from getting feedback on symptoms and from continuous and comforting interaction with clinicians. With this paper, we aim to sensitise UX researchers and designers of patient-centred e-health by proposing three UX dimensions: connectedness, comprehension, and compassion.

U2 - 10.1145/3154862.3154868

DO - 10.1145/3154862.3154868

M3 - Article in proceedings

SN - 978-1-4503-6363-1

SP - 221

EP - 230

BT - Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

A2 - Oliver, Nuria

A2 - Czerwinski, Mary

A2 - Matic, Aleksandar

PB - Association for Computing Machinery

ER -

ID: 194913976