Üniversite hastanesi bilgisayarlı tomografi bölümünde iş akışı ve kapasite seviyesinin modellemesi ve analizi

Year 2025, Issue: 71, 9 - 20, 30.08.2025

Alkan Durmuş , Abdurrahman İskender

https://doi.org/10.18070/erciyesiibd.1556337

Abstract

Bu çalışma, bir üniversite hastanesinin radyoloji bölümünde Bilgisayarlı Tomografi (BT) hasta akışını ve kapasitesini tahmin etmeye yönelik Ayrık Olay Simülasyonu (DES) kullanarak operasyonel süreçleri optimize etmeyi amaçlamaktadır. Araştırmada, iki yıllık bir zaman diliminde toplanan veriler kullanılarak BT biriminde yaşanan darboğazlar, kaynak kullanım oranları ve hasta bekleme süreleri detaylı şekilde analiz edilmiştir. Arena Simülasyon Yazılımı ile geliştirilen model, mevcut sistemde kaynak yetersizliği ve uzun bekleme süreleri gibi operasyonel sorunları ortaya koymuştur. Çalışmada, mevcut duruma ek olarak, yeni cihaz alımı ve çalışma saatlerinin uzatılması gibi stratejik çözümler içeren 12 farklı senaryo test edilmiştir. Simülasyon sonuçları, ek cihaz kullanımı ve çalışma saatlerinin uzatılması ile hasta bekleme sürelerinde %50’ye varan azalmalar elde edilebileceğini göstermektedir. Bu kapsamda, çalışma BT hizmetlerinin yönetiminde karar destek süreçlerine katkıda bulunmakta ve kaynak planlamasının etkinliğini artırmaya yönelik somut öneriler sunmaktadır. Çalışmanın bulguları, ayrık olay simülasyonunun sağlık hizmetleri operasyonlarında verimlilik artışı sağlamak için kullanılabilecek etkili bir yöntem olduğunu göstermekte ve literatüre önemli katkılar sağlamaktadır.

Keywords

Ayrık olay simülasyonu , Bilgisayarlı tomografi , Hasta akışı yönetimi , Radyoloji operasyonları optimizasyonu

Modelling and analysis of patient flow and capacity level in the computed tomography department of a university hospital

Abstract

This study aims to optimise operational processes by using Discrete Event Simulation (DES) to predict Computed Tomography (CT) patient flow and capacity in the radiology department of a university hospital. In the study, the bottlenecks, resource utilisation rates and patient waiting times in the CT unit were analysed in detail using data collected over a two-year period. The model developed with Arena Simulation Software revealed operational problems such as lack of resources and long waiting times in the current system. In addition to the current situation, 12 different scenarios including strategic solutions such as purchasing new devices and extending working hours were tested in the study. Simulation results show that up to 50% reduction in patient waiting times can be achieved with the use of additional devices and extension of working hours. In this context, the study contributes to decision support processes in the management of IT services and provides concrete recommendations to improve the effectiveness of resource planning. The findings of the study show that discrete event simulation is an effective method that can be used to increase efficiency in healthcare operations and provides important contributions to the literature.

Keywords

Discrete event simulation , Computed tomography , Patient flow management , Radiology operations optimisation

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