Informatics Techniques in Nursing Course and Readiness for Medical Artificial Intelligence

This descriptive and correlational study examined the relationship between completion of an Informatics Techniques in Nursing course and nursing students’ readiness to use medical artificial intelligence, as well as the mediating role of informatics competence in this relationship. The study was conducted with 321 nursing students at a university in eastern Turkey. Data were collected online using a Personal Information Form, the Nursing Informatics Competency Self-Assessment Scale, and the Medical Artificial Intelligence Readiness Scale. Completion of the course was not directly associated with readiness to use medical artificial intelligence (standardized coefficient=0.412, P >.05). However, informatics competence was found to fully mediate this relationship (indirect effect: standardized coefficient=3.988, 95% CI [2.900-5.133]). Course completion was associated with higher informatics competence (standardized coefficient=0.400, P <.001), and higher informatics competence was associated with greater self-reported readiness to use medical artificial intelligence (standardized coefficient=0.994, P <.001). Students’ informatics competence and readiness levels were moderate. Because the measures were self-reported, the findings reflect perceived competence and readiness rather than objective performance.

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Publication Details

Journal
CIN Computers Informatics Nursing
Published
2026-08-20
DOI
https://doi.org/10.1097/cin.0000000000001611
Primary Topic
Electronic Health Records Systems
Type
article
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article

Informatics Techniques in Nursing Course and Readiness for Medical Artificial Intelligence

Seher Çevik Aktura, Gürkan Özden, Ahmet Ceviz, Rana Ceviz
CIN Computers Informatics Nursing
Electronic Health Records Systems
article

Informatics Techniques in Nursing Course and Readiness for Medical Artificial Intelligence

Seher Çevik Aktura, Gürkan Özden, Ahmet Ceviz, Rana Ceviz
article en

Abstract

This descriptive and correlational study examined the relationship between completion of an Informatics Techniques in Nursing course and nursing students’ readiness to use medical artificial intelligence, as well as the mediating role of informatics competence in this relationship. The study was conducted with 321 nursing students at a university in eastern Turkey. Data were collected online using a Personal Information Form, the Nursing Informatics Competency Self-Assessment Scale, and the Medical Artificial Intelligence Readiness Scale. Completion of the course was not directly associated with readiness to use medical artificial intelligence (standardized coefficient=0.412, P >.05). However, informatics competence was found to fully mediate this relationship (indirect effect: standardized coefficient=3.988, 95% CI [2.900-5.133]). Course completion was associated with higher informatics competence (standardized coefficient=0.400, P <.001), and higher informatics competence was associated with greater self-reported readiness to use medical artificial intelligence (standardized coefficient=0.994, P <.001). Students’ informatics competence and readiness levels were moderate. Because the measures were self-reported, the findings reflect perceived competence and readiness rather than objective performance.

CIN Computers Informatics Nursing
Inonu University (TR), Malatya Turgut Özal Üniversitesi (TR), Malatya Devlet Hastanesi (TR), Turgut Özal University (TR)
Quality Education
Openalex Percentile: Top 3%
Electronic Health Records Systems
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