From Paper to Pixels

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dc.contributor.authorYayan, Emriye Hilal
dc.contributor.authorParlar Kilic, Serap
dc.contributor.authorOzden, Gurkan
dc.date.accessioned2026-04-04T13:33:28Z
dc.date.available2026-04-04T13:33:28Z
dc.date.issued2026
dc.departmentİnönü Üniversitesi
dc.description.abstractThis study assessed the effectiveness of care plan automation through Web and mobile applications among nursing students. Many undergraduate nursing programs lack access to electronic medical records for educational purposes. Our work aimed to transform nursing care plans into easily accessible, auditable, and storable electronic forms using a developed automation system. Conducted at a nursing school, the descriptive study involved 169 nursing students practicing pediatric health and nursing courses. Data were collected using a questionnaire with 15 statements to measure the effectiveness of care plan automation. The mean age of participants was 21.69 +/- 2.29, with a mean grade point average of 3.18 +/- 0.58, and 77.5% were female. The highest-rated statement was that automation allowed students to keep and review care plans (mean, 4.34 +/- 1.13), whereas the lowest was that it increased interest in care plans (mean, 3.91 +/- 1.37). Students also found automation more satisfying (mean, 4.14 +/- 1.23). Overall, the study found that nursing students rated care plan automation positively, indicating increased motivation and benefits and decreased challenges. Implementing this system in clinical practice may enhance students' education, efficiency, and motivation in care planning.
dc.description.sponsorshipDepartment of Scientific Research Projects of Idot;nn University [2324]
dc.description.sponsorshipThis research was funded by the Department of Scientific Research Projects of & Idot;noenue University (Project ID: 2324).
dc.identifier.doi10.1097/CIN.0000000000001362
dc.identifier.issn1538-2931
dc.identifier.issn1538-9774
dc.identifier.issue3
dc.identifier.pmid41504657
dc.identifier.scopus2-s2.0-105031963988
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1097/CIN.0000000000001362
dc.identifier.urihttps://hdl.handle.net/11616/109176
dc.identifier.volume44
dc.identifier.wosWOS:001708080600006
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofCin-Computers Informatics Nursing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectAutomation system
dc.subjectElectronic nursing documentation
dc.subjectCare plan
dc.subjectNursing students
dc.titleFrom Paper to Pixels
dc.typeArticle

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