HASTANE SEÇİMİNDE AMBULANS HİZMETİ: TÜRKİYE YOZGAT İLİ OPTİMİZASYON İLE KESİKLİ-OLAY SİMÜLASYON UYGULAMASI

Öz

Bu çalışma, ambulans hizmetinde hastayı en yakın hastaneye değil, hastanın hastalığına daha iyi yanıt veren uygun bir hastaneye sevk etmek için yeni bir yaklaşım geliştirmeyi amaçlamaktadır. Bir hastanede personel ve ekipman eksikliği nedeniyle, hastaların başka bir hastaneye nakledilme olasılığı çok yüksektir. Bu araştırmada geliştirilmiş bir ambulans hizmeti akış şeması için ayrık olay simülasyon yöntemiyle bir vaka çalışması gerçekleştirildi. Vaka çalışması, iki hastane (şehir ve üniversite), bir acil çağrı merkezi ve altı ambulans istasyonu sahip Yozgat ilinde gerçekleştirilmiştir. Her bir ambulans istasyonun bir adet olmak üzere ambulans aracı bulunmaktadır. Kullanılan veriler Ocak 2018'den Ocak 2019'a kadar olan bir yılı kapsamaktadır. Bu çalışma için geliştirilen yöntem ambulans hizmetinde %21,14'lük bir iyileşme sağlanmıştır. Bulgular arasında dikkat çeken en önemli nokta, hastanın en yakın hastaneden ziyade en uygun hastaneye sevk edilmesinin hem sevk süresi hem de hastanın hayatı tehdit edici durumu açısından önemli olduğu bu çalışma ile tespit edilmiştir.

Anahtar Kelimeler

• Şehir Hastanesi
• Üniversite Araştırma Hastanesi
• Ambulans Servisi
• Kesikli-olay Simülasyonu
• Sevk Süresi

AMBULANCE SERVICE FOR HOSPITAL SELECTION: OPTIMIZATION WITH DISCRETE-EVENT SIMULATION APPLICATION FOR YOZGAT PROVINCE OF TURKEY

Öz

This study aims to develop a new approach in the ambulance service to refer the patient not to the nearest hospital but to a suitable hospital that responds better to his/her illness. Due to the lack of staff and equipment in a hospital, patients are often very likely to be transferred to another hospital. A case study was performed with a discrete-event simulation method for an improved ambulance service flowchart in this research. The case study was conducted in Yozgat province of Turkey, including two hospitals (city and university), one emergency call center, and six ambulance stations. Each of them has one vehicle. The data used covers the one-year from January 2018 to January 2019. The method developed for this study resulted in a 21.14 % improvement in ambulance service. The most crucial point that was noteworthy among the findings was that referral of the patient to the most appropriate hospital, rather than the nearest hospital, was important in terms of both dispatching time and the life-threatening condition of the patient.

Anahtar Kelimeler

• City Hospital
• University Hospital
• Ambulance Service
• Discrete-Event Simulation
• Dispatching Time

Kaynakça

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