Publicação
Data Security in Healthcare Systems
| dc.contributor.author | Abdelaziz, Ahmed | |
| dc.contributor.author | Mahmoud, Alia Nabil | |
| dc.contributor.institution | Information Management Research Center (MagIC) - NOVA Information Management School | |
| dc.contributor.institution | NOVA Information Management School (NOVA IMS) | |
| dc.contributor.pbl | American Scientific Publishing Group (ASPG) | |
| dc.date.accessioned | 2024-04-16T00:30:35Z | |
| dc.date.available | 2024-04-16T00:30:35Z | |
| dc.date.issued | 2023 | |
| dc.description | Abdelaziz, A., & Mahmoud, A. N. (2023). Data Security in Healthcare Systems: Integration of Information Security and Information Management. Journal of Cybersecurity and Information Management, 11(2), 17-26. https://doi.org/10.54216/JCIM.110202 | |
| dc.description.abstract | Effective management of patient data is critical for improving the quality of care and patient outcomes in healthcare systems. However, ensuring the confidentiality, integrity, and availability of patient data while complying with regulatory requirements can be challenging. To address this challenge, this work proposes an artificial intelligence (AI)-enabled framework that integrates information security (IS) and information management (IM) capabilities into a unified solution for improving the overall functionality of healthcare systems. The proposed framework leverages AI algorithms to automate managerial transactions of healthcare systems, while ensuring they are secure against possible threats. By automating these tasks, the framework can reduce the burden on healthcare staff, improve the accuracy and speed of information processing, and reduce the risk of human error. Our framework provides accurate and timely information to healthcare providers, enabling them to make informed decisions and provide better care to patients. | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 10 | |
| dc.format.extent | 857071 | |
| dc.identifier.doi | 10.54216/JCIM.110202 | |
| dc.identifier.issn | 2769-7851 | |
| dc.identifier.other | PURE: 88356137 | |
| dc.identifier.other | PURE UUID: f9cf02e8-5940-4f44-8a26-e980c6ac4dde | |
| dc.identifier.other | Scopus: 85189874122 | |
| dc.identifier.uri | http://hdl.handle.net/10362/166259 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85189874122 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.subject | Healthcare system | |
| dc.subject | Information Management | |
| dc.subject | Information Security | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Computer Science Applications | |
| dc.subject | Information Systems | |
| dc.subject | SDG 3 - Good Health and Well-being | |
| dc.title | Data Security in Healthcare Systems | en |
| dc.title.subtitle | Integration of Information Security and Information Management | en |
| dc.type | journal article | |
| degois.publication.firstPage | 17 | |
| degois.publication.issue | 2 | |
| degois.publication.lastPage | 26 | |
| degois.publication.title | Journal of Cybersecurity and Information Management | |
| degois.publication.volume | 11 | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
Ficheiros
Principais
1 - 1 de 1
A carregar...
- Nome:
- Data_Security_in_Healthcare_Systems_Integration_of_Information_Security_and_Information_Management.pdf
- Tamanho:
- 836.98 KB
- Formato:
- Adobe Portable Document Format
