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

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dc.citedby6
dc.contributor.authorAl-Momani A.M.en_US
dc.contributor.authorRamayah T.en_US
dc.contributor.authorAl-Sharafi M.A.en_US
dc.contributor.authorid59138541600en_US
dc.contributor.authorid57222416490en_US
dc.contributor.authorid57196477711en_US
dc.date.accessioned2025-03-03T07:43:09Z
dc.date.available2025-03-03T07:43:09Z
dc.date.issued2024
dc.description.abstractCybersecurity 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. ? 2024en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo102592
dc.identifier.doi10.1016/j.techsoc.2024.102592
dc.identifier.scopus2-s2.0-85193900617
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85193900617&doi=10.1016%2fj.techsoc.2024.102592&partnerID=40&md5=6387deff71d44aa82c8397f6cb945d82
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36572
dc.identifier.volume77
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleTechnology in Society
dc.subjectJordan
dc.subjectCybersecurity
dc.subjectHealth care
dc.subjectHealth risks
dc.subjectRecords management
dc.subjectConfidentiality
dc.subjectCyber security
dc.subjectElectronic health
dc.subjectEmotional trusts
dc.subjectHealth records
dc.subjectHER adoption
dc.subjectIntegrity
dc.subjectPerformance impact
dc.subjectStructural equation modeling-artificial neural network
dc.subjectStructural equation models
dc.subjectartificial neural network
dc.subjecthealth care
dc.subjecthealth services
dc.subjecthealth worker
dc.subjectscanning electron microscopy
dc.subjectNeural networks
dc.titleExploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: A multi-analytical SEM-ANN approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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