Readiness of Nurses and Nursing Students to Use Artificial Intelligence in Healthcare and Influencing Factors

Abstract

Objective: The acceptance and efficient implementation of artificial Intelligence (AI)-based applications in routine nursing activities depends on readiness towards artificial intelligence. This study aims to explore nurses' and nursing students' knowledge, opinions, and attitudes towards artificial intelligence and the factors that influence them. Material and Method: The analytical cross-sectional study was conducted between March and May 2022, with 580 participants, including nurses (217) and nursing students (363) in a city in eastern Turkey. The data was collected using the “Information Form for Personal Details and Artificial Intelligence Knowledge of Nurses and Students” and the “Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MR)”. Results: This study showed that 46.1% of nurses and 34.4% of nursing students did not know how to use artificial intelligence in nursing. Both nurses and nursing students’ sources of information regarding artificial intelligence in nursing were essentially “social media” and the application they mostly associated the concept of artificial intelligence with was “robots”. More than half of nurses and students were curious about using artificial intelligence in nursing care. The nurses’ and nursing students’ mean MAIRS-MR scores were 67.17±18.19 and 69.41±15.18, respectively. Conclusion: The study demonstrated that nurses and nursing students had a moderate level of readiness for medical artificial intelligence. Keywords: Artificial intelligence, nurse, nursing student, readiness.

Keywords

• Artificial intelligence
• readiness
• nurse
• nursing student.

Hemşirelerin ve Hemşirelik Öğrencilerinin Sağlık Hizmetlerinde Yapay Zeka Kullanımına Hazır Bulunuşlukları ve Etkileyen Faktörler

Abstract

Amaç: Rutin hemşirelik faaliyetlerinde yapay zekâ (artificial Intelligence, AI) tabanlı uygulamaların kabulü ve etkin bir şekilde uygulanması, yapay zekaya karşı hazır olmaya bağlıdır. Bu çalışmanın amacı, hemşirelerin ve hemşirelik öğrencilerinin yapay zekaya yönelik bilgi, görüş, hazır bulunuşlukları ve bunları etkileyen faktörleri araştırmaktır. Gereç ve Yöntem: Bu çalışma Mart 2022 ile Mayıs 2022 arasında, Türkiye'nin doğusundaki bir şehirde hemşireler (217) ve hemşirelik öğrencileri (363) olmak üzere 580 katılımcıyla kesitsel-analitik tipte yürütülmüştür. Veriler, “Hemşirelerin ve Öğrencilerin Kişisel Bilgi ve Yapay Zekaya İlişkin Bilgi Formu” ve “Tıbbi Yapay Zekâ Hazır Bulunuşluk Ölçeği” kullanılarak toplanmıştır. Bulgular: Bu çalışma, hemşirelerin %46,1'inin ve hemşirelik öğrencilerinin %34,4'ünün hemşirelikte yapay zeka kullanımı hakkında hiçbir bilgisinin olmadığını göstermiştir. Hem hemşirelerin hem de hemşirelik öğrencilerinin hemşirelikte yapay zeka ile ilgili temel bilgi kaynaklarının “sosyal medya” ve yapay zeka kavramını en çok ilişkilendirdikleri uygulamanın “robotlar” olduğu belirlenmiştir. Hemşirelerin ve öğrencilerin yarısından fazlasının hemşirelik bakımında yapay zekanın kullanımı konusunda meraklı olduğu bulunmuştur. Çalışmada hemşirelerin ve hemşirelik öğrencilerinin Tıbbi Yapay Zekâ Hazır Bulunuşluk Ölçeği puan ortalamaları sırasıyla 67,17±18,19 ve 69,41±15,18 olarak bulunmuştur. Sonuç: Çalışma, hemşirelerin ve hemşirelik öğrencilerinin tıbbi yapay zekaya orta düzeyde hazır bulunduklarını göstermiştir. Anahtar Kelimeler: Yapay zeka, hemşire, hemşirelik öğrencisi, hazır bulunuşluk.

Keywords

• Hazır bulunuşluk
• hemşire
• hemşirelik öğrencisi
• yapay zeka.

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