Towards a theoretical model of dashboard acceptance and use in healthcare domain

Mona Isazad Mashinchi; Adegboyega Ojo; Francis J. Sullivan

Towards a theoretical model of dashboard acceptance and use in healthcare domain

Mona Isazad Mashinchi
, Adegboyega Ojo
, Francis J. Sullivan

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

4 Citations (Scopus)

Abstract

The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many studies have been undertaken to evaluate the implementation of health information technologies in the healthcare sector, as far as we know, none of these studies provides a framework for dashboards use in the healthcare context. We believe that the resulting model from our study provides the necessary first step in developing empirical evidence for the acceptance and use of the dashboards in the healthcare domain.

Original language	English
Title of host publication	Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
Editors	Tung X. Bui
Publisher	IEEE Computer Society
Pages	3684-3693
Number of pages	10
ISBN (Electronic)	9780998133140
Publication status	Published - 2021
Externally published	Yes
Event	54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online Duration: 4 Jan 2021 → 8 Jan 2021

Publication series

Name	Proceedings of the Annual Hawaii International Conference on System Sciences
Volume	2020-January
ISSN (Print)	1530-1605

Conference

Conference	54th Annual Hawaii International Conference on System Sciences, HICSS 2021
City	Virtual, Online
Period	4/01/21 → 8/01/21

UN SDGs

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

SDG 3 Good Health and Well-being

Cite this

Mashinchi, M. I., Ojo, A., & Sullivan, F. J. (2021). Towards a theoretical model of dashboard acceptance and use in healthcare domain. In T. X. Bui (Ed.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 (pp. 3684-3693). (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January). IEEE Computer Society.

Mashinchi, Mona Isazad ; Ojo, Adegboyega ; Sullivan, Francis J. / Towards a theoretical model of dashboard acceptance and use in healthcare domain. Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. editor / Tung X. Bui. IEEE Computer Society, 2021. pp. 3684-3693 (Proceedings of the Annual Hawaii International Conference on System Sciences).

@inproceedings{1837302de4e7455b8b03e2b369cc9890,

title = "Towards a theoretical model of dashboard acceptance and use in healthcare domain",

abstract = "The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many studies have been undertaken to evaluate the implementation of health information technologies in the healthcare sector, as far as we know, none of these studies provides a framework for dashboards use in the healthcare context. We believe that the resulting model from our study provides the necessary first step in developing empirical evidence for the acceptance and use of the dashboards in the healthcare domain.",

author = "Mashinchi, \{Mona Isazad\} and Adegboyega Ojo and Sullivan, \{Francis J.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE Computer Society. All rights reserved.; 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 ; Conference date: 04-01-2021 Through 08-01-2021",

year = "2021",

language = "English",

series = "Proceedings of the Annual Hawaii International Conference on System Sciences",

publisher = "IEEE Computer Society",

pages = "3684--3693",

editor = "Bui, \{Tung X.\}",

booktitle = "Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021",

}

Mashinchi, MI, Ojo, A & Sullivan, FJ 2021, Towards a theoretical model of dashboard acceptance and use in healthcare domain. in TX Bui (ed.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2020-January, IEEE Computer Society, pp. 3684-3693, 54th Annual Hawaii International Conference on System Sciences, HICSS 2021, Virtual, Online, 4/01/21.

Towards a theoretical model of dashboard acceptance and use in healthcare domain. / Mashinchi, Mona Isazad; Ojo, Adegboyega; Sullivan, Francis J.
Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. ed. / Tung X. Bui. IEEE Computer Society, 2021. p. 3684-3693 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Towards a theoretical model of dashboard acceptance and use in healthcare domain

AU - Mashinchi, Mona Isazad

AU - Ojo, Adegboyega

AU - Sullivan, Francis J.

PY - 2021

Y1 - 2021

N2 - The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many studies have been undertaken to evaluate the implementation of health information technologies in the healthcare sector, as far as we know, none of these studies provides a framework for dashboards use in the healthcare context. We believe that the resulting model from our study provides the necessary first step in developing empirical evidence for the acceptance and use of the dashboards in the healthcare domain.

AB - The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many studies have been undertaken to evaluate the implementation of health information technologies in the healthcare sector, as far as we know, none of these studies provides a framework for dashboards use in the healthcare context. We believe that the resulting model from our study provides the necessary first step in developing empirical evidence for the acceptance and use of the dashboards in the healthcare domain.

UR - https://www.scopus.com/pages/publications/85108358913

M3 - Conference Publication

AN - SCOPUS:85108358913

T3 - Proceedings of the Annual Hawaii International Conference on System Sciences

SP - 3684

EP - 3693

BT - Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021

A2 - Bui, Tung X.

PB - IEEE Computer Society

T2 - 54th Annual Hawaii International Conference on System Sciences, HICSS 2021

Y2 - 4 January 2021 through 8 January 2021

ER -

Towards a theoretical model of dashboard acceptance and use in healthcare domain

Abstract

Publication series

Conference

UN SDGs

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