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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Univrsity Of Tehran Press</PublisherName>
				<JournalTitle>Journal of Information Technology Management</JournalTitle>
				<Issn>2980-7972</Issn>
				<Volume>18</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Nurses&#039; Opportunities Regarding the Importance of Artificial Intelligence Application in Pediatric Wards</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>133</FirstPage>
			<LastPage>146</LastPage>
			<ELocationID EIdType="pii">108007</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jitm.2026.108007</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Lena Husain</FirstName>
					<LastName>Abdu-Allah</LastName>
<Affiliation>Babylon Health Directorate, Babylon, Iraq.</Affiliation>
<Identifier Source="ORCID">0000-0002-7641-992X</Identifier>

</Author>
<Author>
					<FirstName>Kames</FirstName>
					<LastName>Bander</LastName>
<Affiliation>Professor, Child Health Nursing, College of Nursing, University of Babylon, Iraq.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>07</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>Artificial intelligence (AI) is increasingly used in healthcare to advance patient care and nursing practice, allowing nurses to focus more on direct patient care and complex decision-making. This descriptive, cross-sectional study aimed to assess nurses&#039; opportunities regarding the importance of AI applications in pediatric wards and to identify relationships with socio-demographic data. Conducted in Hillah, Iraq, from September 2025 to June 2026 at three hospitals (AL-Imam Al-Sadiq Teaching Hospital, Babel Teaching for Child and Maternity Hospital, and AL Noor Hospital), the study used a convenience sample of 250 nurses. Data were collected via a questionnaire and analyzed using descriptive and inferential statistics. Results showed that 36% of participants perceived moderate opportunities for AI use (mean ± SD = 3.34 ± 0.75), and significant relationships were found between opportunities and education level, department unit, and source of AI information (p ≤ 0.05). The study concludes that one-third of nurses perceive moderate opportunities for AI in pediatric wards, and recommends that hospitals improve their technology infrastructure to enable safe and efficient AI integration.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Artificial Intelligence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pediatric Nursing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Opportunities</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nurses' Perceptions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cross-Sectional Study</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jitm.ut.ac.ir/article_108007_b3876fa947ecae4f921d4167f08d0f9c.pdf</ArchiveCopySource>
</Article>
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