Mohd Nor, Norfatihah and Mat Yatin, Saiful Farik and Ab Rahman, Nornie Fathma and Ruzaidi, Nur Rifqah Syazwina and Kamaruddin, Siti Zaleha
(2025)
Artificial intelligence and electronic records in healthcare sector: benefits and challenges.
Journal of Information and Knowledge Management (JIKM), 15 (SI2): 27.
pp. 293-301.
ISSN ISSN:2231-8836 ; E-ISSN:2289-5337
Official URL: https://journal.uitm.edu.my/ojs/index.php/JIKM
Abstract
This article explores the use of electronic records and artificial intelligence in healthcare, providing guidance for healthcare professionals and record keepers. It addresses common challenges in managing patient records and offers insights into effective data organization strategies. By incorporating previous research, the article aims to equip professionals with tools to enhance their record management practices. Emphasizing technology adoption and system implementation, it serves as a valuable resource for healthcare leaders, record managers, and those involved in healthcare information systems, helping them navigate the complexities of healthcare data management and improve patient information handling techniques.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Mohd Nor, Norfatihah UNSPECIFIED Mat Yatin, Saiful Farik farik@uitm.edu.my Ab Rahman, Nornie Fathma UNSPECIFIED Ruzaidi, Nur Rifqah Syazwina UNSPECIFIED Kamaruddin, Siti Zaleha UNSPECIFIED |
Subjects: | Q Science > Q Science (General) > Back propagation (Artificial intelligence) Z Bibliography. Library Science. Information Resources > Information in specific formats or media > Electronic information resources |
Divisions: | Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management |
Journal or Publication Title: | Journal of Information and Knowledge Management (JIKM) |
UiTM Journal Collections: | UiTM Journals > International Journal of Information and Knowledge Management (JIKM) |
ISSN: | ISSN:2231-8836 ; E-ISSN:2289-5337 |
Volume: | 15 |
Number: | SI2 |
Page Range: | pp. 293-301 |
Keywords: | Electronic record, Artificial intelligence, Healthcare sector, Record management |
Date: | August 2025 |
URI: | https://ir.uitm.edu.my/id/eprint/122260 |