AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS

Mousa Albashrawi

AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS

Mousa Albashrawi^*

^*Corresponding author for this work

Interdisciplinary Research Center for Finance and Digital Economy

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

1 Scopus citations

Abstract

This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in healthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (i.e., trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.

Original language	English
Title of host publication	International Conference on Applied Computing 2022 and WWW/Internet 2022
Publisher	IADIS
Pages	269-272
Number of pages	4
ISBN (Electronic)	9781713863793
State	Published - 2022
Event	International Conference on Applied Computing 2022 and WWW/Internet 2022 - Lisbon, Portugal Duration: 8 Nov 2022 → 10 Nov 2022

Publication series

Name	International Conference on Applied Computing 2022 and WWW/Internet 2022

Conference

Conference	International Conference on Applied Computing 2022 and WWW/Internet 2022
Country/Territory	Portugal
City	Lisbon
Period	8/11/22 → 10/11/22

Bibliographical note

Publisher Copyright:
Copyright © (2022) by International Association for Development of the Information Society (IADIS). All rights reserved.

Keywords

AI
Adoption
Healthcare
Privacy
Theory of Planned Behavior
Trust

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Software

Cite this

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title = "AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS",

abstract = "This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in healthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (i.e., trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.",

keywords = "AI, Adoption, Healthcare, Privacy, Theory of Planned Behavior, Trust",

author = "Mousa Albashrawi",

note = "Publisher Copyright: Copyright {\textcopyright} (2022) by International Association for Development of the Information Society (IADIS). All rights reserved.; International Conference on Applied Computing 2022 and WWW/Internet 2022 ; Conference date: 08-11-2022 Through 10-11-2022",

year = "2022",

language = "English",

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PY - 2022

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N2 - This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in healthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (i.e., trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.

AB - This study aims to provide an empirical investigation of different factors that could affect AI adoption in healthcare. Since prior research has overlooked AI adoption in healthcare, especially in the Arab context, this research in progress can fill this untapped gap and develop a theoretical framework to evaluate the customer-concerned factors (i.e., trust and privacy concerns) across different healthcare services. Due to its good generalizability, a theory of planned behavior can fit well to the healthcare context and hence can provide an adequate theoretical lens to understand the phenomenon of AI adoption. This study can expand our knowledge of AI and highlight the importance of its role to reinforce the provided healthcare services as well as meet the pressing patients' needs for better quality.

KW - AI

KW - Adoption

KW - Healthcare

KW - Privacy

KW - Theory of Planned Behavior

KW - Trust

UR - https://www.scopus.com/pages/publications/85150616165

M3 - Conference contribution

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BT - International Conference on Applied Computing 2022 and WWW/Internet 2022

PB - IADIS

Y2 - 8 November 2022 through 10 November 2022

ER -

AI ADOPTION IN HEALTHCARE: TRUST AND PRIVACY CONCERNS

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this