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Journals / NİŞANTAŞI ÜNİVERSİTESİ SOSYAL BİLİMLER DERGİSİ / 2026 / Cilt: 14 Sayı: 1

HEALTHCARE WORKERS' EXPOSURE TO ARTIFICIAL INTELLIGENCE AND THE IMPACT OF ARTIFICIAL INTELLIGENCE-RELATED JOB INSECURITY ON TECHNOLOGY OVERLOAD: A CROSS-SECTIONAL STUDY

SAĞLIK ÇALIŞANLARININ YAPAY ZEKA MARUZİYETİ VE YAPAY ZEKA KAYNAKLI İŞ GÜVENCESİZLİĞİNİN TEKNOLOJİ YÜKÜ ÜZERİNE ETKİSİ: KESİTSEL BİR ARAŞTIRMA

Cuma Çakmak(DİCLE ÜNİVERSİTESİ)0000-0002-4409-9669
Pages
238–254
Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate that AI exposure and the perception of AI-related job insecurity have a significant and positive relationship with TO.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Today, the healthcare sector has become a field where artificial intelligence–based applications are rapidly expanding and are being integrated into clinical settings as well as actively used by healthcare professionals in diagnosis and treatment processes.
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Key Findings & Data:In the study, the relationships between AI exposure, AI-related job insecurity, and TO were analyzed using statistical analysis software based on data collected from 301 healthcare workers.
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Conclusion & Impact:The findings indicate that AI exposure and the perception of AI-related job insecurity have a significant and positive relationship with TO.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yapay zekâ · teknoloji yükü · iş güvencesizliği

Abstract

Today, the healthcare sector has become a field where artificial intelligence–based applications are rapidly expanding and are being integrated into clinical settings as well as actively used by healthcare professionals in diagnosis and treatment processes. This study aims to examine the relationship of the increasingly widespread exposure to artificial intelligence (AI) in the healthcare sector and the perception of AI-induced job insecurity (AIJI) on healthcare workers’ technology overload (TO). In the study, the relationships between AI exposure, AI-related job insecurity, and TO were analyzed using statistical analysis software based on data collected from 301 healthcare workers. The findings indicate that AI exposure and the perception of AI-related job insecurity have a significant and positive relationship with TO. This suggests that AI-based systems initially create cognitive load, stress, and adaptation difficulties among healthcare workers. Additionally, it was found that AI-related job insecurity significantly increases the technological overload. This result supports the notion that the perception of job insecurity is one of the key determinants of technological stress. Consequently, the successful integration of AI depends not only on technological competence but also on supporting employees’ psychosocial well-being.

Özet

Günümüzde sağlık sektörü, yapay zekâ temelli uygulamaların hızla yaygınlaştığı; tanı, teşhis ve tedavi süreçlerinde hem kliniklere entegre edildiği hem de sağlık çalışanları tarafından aktif olarak kullanıldığı bir alan haline gelmiştir. Bu araştırma, sağlık sektöründe giderek yaygınlaşan yapay zekâ (YZ) maruziyetinin ve yapay zeka kaynaklı iş güvencesizliği (YZKİG) algısının sağlık çalışanlarının teknoloji yükü (TY) ile ilişkisini incelemeyi amaçlamaktadır. Çalışmada, 301 sağlık çalışanından elde edilen veriler doğrultusunda YZ maruziyeti, YZKİG ve TY arasındaki ilişkiler istatistiksel analiz programları ile analiz edilmiştir. Bulgular, YZ maruziyetinin ve YZKİG algısının TY üzerinde anlamlı ve pozitif yönde ilişkili bulunduğunu göstermiştir. Bu durum, YZ tabanlı sistemlerin başlangıçta sağlık çalışanlarında bilişsel yük, stres ve adaptasyon güçlüğü oluşturduğunu ortaya koymaktadır. Ayrıca YZKİG’nin teknoloji yükünü anlamlı biçimde artırdığı saptanmıştır. Bu sonuç, iş güvencesizliği algısının teknolojik stresi ilişkili temel faktörlerden biri olduğunu desteklemektedir. Sonuç olarak, YZ’nin başarılı bir şekilde entegrasyonu, teknolojik yeterliliğin yanı sıra çalışanların psikososyal iyi oluşunun desteklenmesine bağlıdır.

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Cite This Article

Çakmak, C. (2026). HEALTHCARE WORKERS' EXPOSURE TO ARTIFICIAL INTELLIGENCE AND THE IMPACT OF ARTIFICIAL INTELLIGENCE-RELATED JOB INSECURITY ON TECHNOLOGY OVERLOAD: A CROSS-SECTIONAL STUDY. NİŞANTAŞI ÜNİVERSİTESİ SOSYAL BİLİMLER DERGİSİ, Cilt: 14 Sayı: 1, 238–254. https://doi.org/10.52122/nisantasisbd.1816489

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