From Paper to Pixels

This 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.

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Publication Details

Journal
CIN Computers Informatics Nursing
Published
2026-01-08
DOI
https://doi.org/10.1097/cin.0000000000001362
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

From Paper to Pixels

Emriye Hilal Yayan, Gürkan Özden, Serap Parlar Kiliç
CIN Computers Informatics Nursing
Mobile Health and mHealth Applications
article

From Paper to Pixels

Emriye Hilal Yayan, Gürkan Özden, Serap Parlar Kiliç
article en

Abstract

This 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.

CIN Computers Informatics NursingVol. 44(3)
Inonu University (TR), Computercraft (United States) (US)
Quality Education
Openalex Percentile: Top 94%
Mobile Health and mHealth Applications
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