Staff View: Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach

Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach

Cybersecurity is critical in safeguarding sensitive information against evolving threats, especially in the healthcare sector, where Electronic Health Records (EHR) are central to the digital transformation of healthcare. This study takes a unique approach by investigating the influence of cybersecu...

Full description

Saved in:

Bibliographic Details
Main Authors:	Al-Momani A.M., Ramayah T., Al-Sharafi M.A.
Other Authors:	59138541600
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Jordan Cybersecurity Health care Health risks Records management Confidentiality Cyber security Electronic health Emotional trusts Health records HER adoption Integrity Performance impact Structural equation modeling-artificial neural network Structural equation models artificial neural network health care health services health worker scanning electron microscopy Neural networks
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-36572
record_format	dspace
spelling	my.uniten.dspace-365722025-03-03T15:43:09Z Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach Al-Momani A.M. Ramayah T. Al-Sharafi M.A. 59138541600 57222416490 57196477711 Jordan Cybersecurity Health care Health risks Records management Confidentiality Cyber security Electronic health Emotional trusts Health records HER adoption Integrity Performance impact Structural equation modeling-artificial neural network Structural equation models artificial neural network health care health services health worker scanning electron microscopy Neural networks Cybersecurity is critical in safeguarding sensitive information against evolving threats, especially in the healthcare sector, where Electronic Health Records (EHR) are central to the digital transformation of healthcare. This study takes a unique approach by investigating the influence of cybersecurity on healthcare professionals' use of EHR systems and its impact on their performance. It goes beyond the traditional adoption theories by integrating the Technology Acceptance Model (TAM) with cybersecurity and emotional trust and focuses on actual EHR system usage and its performance impact. The data from 459 healthcare professionals, analyzed using a Structural Equation Modeling-Artificial Neural Networks (SEM-ANN) approach, provides a comprehensive view of the dynamics involved. The findings suggest that cybersecurity's impact on the system's ease of use may vary by context. Ease of use was linked to trust but not directly to perceived usefulness. Importantly, systems perceived as efficient and beneficial are used more, leading to improved healthcare service quality. The study underscores the importance of robust cybersecurity measures and trust in effective EHR integration, offering valuable insights for enhancing EHR system acceptance and healthcare outcomes in Jordan. ? 2024 Final 2025-03-03T07:43:09Z 2025-03-03T07:43:09Z 2024 Article 10.1016/j.techsoc.2024.102592 2-s2.0-85193900617 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193900617&doi=10.1016%2fj.techsoc.2024.102592&partnerID=40&md5=6387deff71d44aa82c8397f6cb945d82 https://irepository.uniten.edu.my/handle/123456789/36572 77 102592 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Jordan Cybersecurity Health care Health risks Records management Confidentiality Cyber security Electronic health Emotional trusts Health records HER adoption Integrity Performance impact Structural equation modeling-artificial neural network Structural equation models artificial neural network health care health services health worker scanning electron microscopy Neural networks
spellingShingle	Jordan Cybersecurity Health care Health risks Records management Confidentiality Cyber security Electronic health Emotional trusts Health records HER adoption Integrity Performance impact Structural equation modeling-artificial neural network Structural equation models artificial neural network health care health services health worker scanning electron microscopy Neural networks Al-Momani A.M. Ramayah T. Al-Sharafi M.A. Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
description	Cybersecurity is critical in safeguarding sensitive information against evolving threats, especially in the healthcare sector, where Electronic Health Records (EHR) are central to the digital transformation of healthcare. This study takes a unique approach by investigating the influence of cybersecurity on healthcare professionals' use of EHR systems and its impact on their performance. It goes beyond the traditional adoption theories by integrating the Technology Acceptance Model (TAM) with cybersecurity and emotional trust and focuses on actual EHR system usage and its performance impact. The data from 459 healthcare professionals, analyzed using a Structural Equation Modeling-Artificial Neural Networks (SEM-ANN) approach, provides a comprehensive view of the dynamics involved. The findings suggest that cybersecurity's impact on the system's ease of use may vary by context. Ease of use was linked to trust but not directly to perceived usefulness. Importantly, systems perceived as efficient and beneficial are used more, leading to improved healthcare service quality. The study underscores the importance of robust cybersecurity measures and trust in effective EHR integration, offering valuable insights for enhancing EHR system acceptance and healthcare outcomes in Jordan. ? 2024
author2	59138541600
author_facet	59138541600 Al-Momani A.M. Ramayah T. Al-Sharafi M.A.
format	Article
author	Al-Momani A.M. Ramayah T. Al-Sharafi M.A.
author_sort	Al-Momani A.M.
title	Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
title_short	Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
title_full	Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
title_fullStr	Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
title_full_unstemmed	Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach
title_sort	exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: a multi-analytical sem-ann approach
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816110961786880
score	13.244413

Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approach

Similar Items