International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

A Descriptive Study to Assess Nursing Informatics Skills and Perceived Competence to Work in Artificial Intelligence Enabled Healthcare Settings Among B.Sc. Nursing Students at Selected Nursing Colleges in Kerala

Author(s) Lissy P J, Jasmine Santha J
Country India
Abstract This descriptive study was conducted to assess the nursing informatics skills and perceived competence to work in artificial intelligence enabled healthcare settings among nursing students in Kerala. A cross-sectional descriptive research design was used for the study. A sample of 139 nursing students was selected from selected nursing colleges in Kerala using a non-probability convenience sampling technique. Data were collected using a structured demographic proforma, an 18-item Nursing Informatics Skills scale, and a 15-item Perceived Competence scale. The collected data were analyzed using descriptive and inferential statistics with computer-based statistical software. The results revealed that the mean score for nursing informatics skills was 63.58 with a standard deviation of 12.51, and the mean score for perceived competence was 52.89 with a standard deviation of 9.28. In this study, 56.12 percent of the students possessed high informatics skills, while 51.80 percent had a moderate level of perceived competence to work in artificial intelligence settings. Chi-square analysis showed that personal laptop ownership was significantly associated with both informatics skills and perceived competence scores. Clinical exposure to electronic health records was also significantly associated with perceived competence levels. A very strong, statistically significant positive correlation was found between informatics skills and perceived competence scores among the students. The study concludes that regular access to workstation devices and early clinical exposure to digital systems are critical for preparing the future nursing workforce to work in technology-rich clinical environments.
Keywords Nursing Informatics, Artificial Intelligence, Perceived Competence, India, Nursing Education
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-30

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