Artificial Intelligence in Geriatric Patient Follow-up: Impact on Physician Workload and Clinical Applications

Year 2025, Volume: 6 Issue: 2, 206 - 216, 29.07.2025

Alperen Kızıklı , Zeynel Abidin Öztürk

https://doi.org/10.46871/eams.1657102

Abstract

Purpose: The rapid advancements in artificial intelligence (AI) have significantly influenced healthcare, especially in geriatric patient monitoring, a complex process due to multimorbidity, polypharmacy, and frailty. This study aims to evaluate the role of AI applications in geriatric monitoring and examine their potential impact on reducing physicians' workload.

Methods: A comprehensive literature review was conducted, covering current AI-supported patient monitoring systems, clinical decision support tools, and workflow automation. Areas such as diagnosis, treatment planning, and real-time health monitoring via wearable technologies were examined in detail.

Results: AI-supported systems have been shown to facilitate early diagnosis, optimize treatment planning, and improve clinical decision-making. These systems enhance patient outcomes while reducing administrative burdens on physicians. Remote monitoring and predictive analytics enable timely interventions, potentially reducing hospital admissions and emergency visits. Furthermore, AI-based automation can take over routine tasks, increasing clinical workflow efficiency.

Conclusion: The integration of AI into geriatric patient monitoring offers the potential to improve healthcare efficiency, enhance patient safety, and reduce physicians’ workload. However, ethical concerns, data privacy, and AI system reliability must be carefully addressed. Future research should focus on developing user-friendly AI systems and evaluating their long-term clinical effectiveness.

Total words:191

Keywords

Geriatrics , Artificial Intelligence , Clinical Decision Support , Physician Workload , Healthcare Automation , Digital Health.

Ethical Statement

This study has not been presented at any scientific meeting and has not been published elsewhere. The authors of this study have no financial support or conflict of interest in relation to the manuscript.

Geriatrik Hasta Takibinde Yapay Zeka: Hekim İş Yüküne Etkisi ve Klinik Uygulamaları

Abstract

Amaç: Yapay zekâ (YZ) alanındaki hızlı gelişmeler, geriatrik hasta takibi gibi karmaşık süreçleri etkileyerek sağlık hizmetlerinde önemli dönüşümlere yol açmıştır. Bu çalışmanın amacı, YZ uygulamalarının geriatrik hasta takibindeki rolünü değerlendirmek ve hekim iş yükünü azaltmadaki potansiyel etkilerini incelemektir.

Yöntem: Güncel YZ destekli hasta izleme sistemleri, klinik karar destek araçları ve iş akışı otomasyonu gibi konuların yer aldığı kapsamlı bir literatür taraması yapılmıştır. Tanı, tedavi planlaması ve giyilebilir sağlık teknolojileri aracılığıyla gerçek zamanlı sağlık izlemesi gibi uygulama alanları detaylı şekilde incelenmiştir.

Bulgular: YZ destekli sistemlerin erken tanıyı kolaylaştırdığı, tedavi planlarını optimize ettiği ve klinik karar verme süreçlerini iyileştirdiği saptanmıştır. Bu sistemler hasta sonuçlarını iyileştirirken hekimlerin idari yükünü de azaltmaktadır. Uzaktan izleme ve öngörücü analizlerle erken müdahale sağlanabilmekte, hastane yatışları ve acil başvurular azaltılabilmektedir. Ayrıca YZ tabanlı otomasyonun rutin görevleri devralarak klinik iş akışını daha verimli hâle getirdiği görülmüştür.

Sonuç: YZ’nin geriatrik hasta takibine entegrasyonu, sağlık hizmetlerinde verimliliği artırma, hasta güvenliğini geliştirme ve hekim iş yükünü azaltma potansiyeline sahiptir. Ancak etik sorunlar, veri gizliliği ve sistem güvenilirliği konularına dikkat edilmelidir. Gelecekte kullanıcı dostu sistemlerin geliştirilmesi ve uzun vadeli klinik etkinliğin değerlendirilmesine yönelik çalışmalara ihtiyaç vardır.

Toplam Sözcük: 183

Keywords

Geriatri , Yapay Zeka , Klinik Karar Destek , Hekim İş Yükü , Sağlık Otomasyonu , Dijital Sağlık.

Ethical Statement

Bu çalışma herhangi bir bilimsel toplantıda sunulmamış ve başka bir yerde yayınlanmamıştır. Bu çalışmanın yazarlarının makale ile ilgili herhangi bir finansal desteği veya çıkar çatışması yoktur.

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