Nurses' Perspectives on Clinical Decision Support Systems: Knowledge, Barriers, and Opportunities

Aim; The aim of this study was to explore the knowledge, barriers, and opportunities of nurses regarding nursing informatics and clinical decision support systems (CDSS).Method; This cross-sectional descriptive study was conducted with the participation of 114 nurses at Manisa Celal Bayar University Hospital. Data were collected through face-to-face interviews using a 20-question form prepared by researchers based on a structured literature review.Results; Of the 114 participating nurses, 69.3% worked in inpatient services, and 63.1% held undergraduate or higher degrees, with a mean age of 28.41±2.15 years. While 73.6% reported familiarity with nursing informatics, only 26.3% were aware of CDSS, and 75.4% had not received any related training. Common applications of CDSS included drug identification and administration (22.1%) and nutritional assessments and scale calculations (13.5%). Lack of knowledge and training was cited by 71.3% as a primary barrier to effective CDSS use. Nurses rated CDSS as moderately effective for certification processes, patient safety, operational efficiency, and usability.Conclusion; Although nurses possess considerable knowledge of nursing informatics, their awareness and use of CDSS remain limited. Integrating targeted in-service training and system enhancements is crucial for improving their engagement and effectiveness with CDSS.

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Publication Details

Journal
Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi
Published
2026-09-30
DOI
https://doi.org/10.34087/cbusbed.1674602
Primary Topic
Electronic Health Records Systems
Type
article
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article

Nurses' Perspectives on Clinical Decision Support Systems: Knowledge, Barriers, and Opportunities

Serpil Akgul Yilmaz, Meryem Yavuz Van Gıersbergen, Alper Akyüz, Veli Arslan
Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi
Electronic Health Records Systems
article

Nurses' Perspectives on Clinical Decision Support Systems: Knowledge, Barriers, and Opportunities

Serpil Akgul Yilmaz, Meryem Yavuz Van Gıersbergen, Alper Akyüz, Veli Arslan
article en

Abstract

Aim; The aim of this study was to explore the knowledge, barriers, and opportunities of nurses regarding nursing informatics and clinical decision support systems (CDSS).Method; This cross-sectional descriptive study was conducted with the participation of 114 nurses at Manisa Celal Bayar University Hospital. Data were collected through face-to-face interviews using a 20-question form prepared by researchers based on a structured literature review.Results; Of the 114 participating nurses, 69.3% worked in inpatient services, and 63.1% held undergraduate or higher degrees, with a mean age of 28.41±2.15 years. While 73.6% reported familiarity with nursing informatics, only 26.3% were aware of CDSS, and 75.4% had not received any related training. Common applications of CDSS included drug identification and administration (22.1%) and nutritional assessments and scale calculations (13.5%). Lack of knowledge and training was cited by 71.3% as a primary barrier to effective CDSS use. Nurses rated CDSS as moderately effective for certification processes, patient safety, operational efficiency, and usability.Conclusion; Although nurses possess considerable knowledge of nursing informatics, their awareness and use of CDSS remain limited. Integrating targeted in-service training and system enhancements is crucial for improving their engagement and effectiveness with CDSS.

Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü DergisiVol. 13(3)
Manisa Celal Bayar University (TR), Ege University (TR), Ergani Devlet Hastanesi (TR), Rize Devlet Hastanesi (TR), Ankara Eğitim ve Araştırma Hastanesi (TR)
Openalex Percentile: Top 4%
Electronic Health Records Systems
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Nurses' Perspectives on Clinical Decision Support Systems: Knowledge, Barriers, and Opportunities — Serpil Akgul Yilmaz, Meryem Yavuz Van Gıersbergen, et al. · Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi (2026) | TGRS Research Map | TGRS