Sağlık Hizmetlerinde Yapay Zeka Kullanımının Risk Analizi ve Değerlendirmesi

Abstract

Bu çalışma, büyük ölçekli reform, yenilikçi teknolojiler ve yapay zeka ile ilgili kanıta dayalı karar verme, paydaş koordinasyonu ve potansiyel hastalıkların ve pandemilerin izlenmesine odaklanarak Türkiye'deki sağlık sektöründeki temel sorunları tartışmayı amaçlamaktadır. Amaç, Türkiye'de sağlık sektöründe AI kullanımına yönelik uygulanabilir öneriler sunmaktır. Araştırmacılar literatür taramaları yaptılar ve çevrimiçi olarak AI ürünlerini/hizmetlerini aradılar. AI, sağlık da dahil olmak üzere çeşitli sektörlerde yenilikçi çözümler sunar. Gen bazlı, immün bazlı ve kök hücre rejenerasyon terapileri ve sentetik nano-biyoloji gibi ileri sağlık teknolojileri, daha öngörücü, önleyici, düzeltici, kişiselleştirilmiş ve katılımcı sağlık çözüm sistemlerine yol açabilir. Sağlıkla ilgili ürün ve yöntemlerin Ar-Ge süreci belirsizlikler, riskler ve fırsatlar içermektedir. Etik kaygılar, sosyal ilişkiler ve psikolojik ve yasal uyum seviyeleri, gelecekteki AI uygulamaları için önemli hususlardır. Yapay zekanın sağladığı toplumsal faydaları kabul ederken uzun vadeli yapay zeka araştırmaları ve politikaları oluşturmak çok önemlidir. Çalışma, teknolojik yenilikleri sağlık sektörüne entegre etmek için Türk makamlarına öneriler sunmaktadır.

Keywords

• Anahtar Kelimeler: Sağlık YBS
• sosyal iyilik
• yapay zeka
• endüstri 4.0
• toplum 5.0

Risk Analysis and Assessment of Artificial Intelligence Usage in Healthcare

Abstract

This study aims to discuss key issues in the health sector in Turkey, focusing on large-scale reform, evidence-based decision-making regarding innovative technologies and AI, stakeholder coordination, and monitoring of potential diseases and pandemics. The goal is to provide applicable suggestions for AI usage in the health sector in Turkey. The researchers conducted literature reviews and searched for AI products/services online. AI offers innovative solutions across various sectors, including health. Advanced health technologies, such as gene-based, immune-based, and stem cell regeneration therapies, and synthetic nano-biology, can lead to more predictive, preventive, corrective, personalized, and participatory health solution systems. The R&D process of health-related products and methods contains uncertainties, risks, and opportunities. Ethical concerns, social relations, and psychological and legal compliance levels are significant considerations for future AI applications. It is essential to create long-term AI research and policies while acknowledging the societal benefits AI provides. The study offers suggestions for Turkish authorities to integrate technological innovations into the health sector.

Keywords

• Keywords: Health MIS
• social goodness
• artificial intelligence
• industry 4.0
• society 5.0

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