YOĞUN BAKIM ÜNİTELERİNDE HASTA AKIŞININ DEĞERLENDİRMESİ: 3. BASAMAK HASTANELER İÇİN SİMÜLASYON MODELLEMESİ

Yıl 2023, Cilt: 26 Sayı: 4, 1009 - 1032, 28.12.2023

Alkan Durmuş , Ali Özdemir

https://doi.org/10.61859/hacettepesid.1314024

Öz

Yoğun bakım ünitelerinde hasta akışının modellenmesi, süreçlerin daha iyi anlaşılmasına ve bu modellerin kullanımı yoğun bakım sistemlerinin işlevselliğinin artırılmasına katkıda bulunabilir. Yoğun bakım ünitelerinde (YBÜ) hasta akışının kötü yönetimi, hasta beklemelerine ve hastaların reddedilmesine neden olabilir. Ayrıca YBÜ yönetimi kapasite yönetimi ve planlaması açısından önemli zorluklarla karşı karşıya kalır. Bu araştırma, 3. basamak kamu üniversite hastanesinde yoğun bakım hastaların akışının ayrık olay simülasyonu yöntemiyle modellenmesine ve kapasite ihtiyacına odaklanmaktadır. Yoğun bakım ihtiyacı olan ve biten hastaların servisler arasındaki geçişlerinde gecikmeler yaşanabilmektedir. Bu çalışmanın amacı, Yoğun Bakım Ünitesi (YBÜ) hastalarının kabul, yoğun bakım yatağı bekleme ve taburculuk süreçlerindeki kısıtlamaları simüle ederek, hastane yönetim politikalarının performansını değerlendirmek ve mevcut yatak sayısında hasta bekleme sürelerinin minimize edildiği bir senaryoda gereken yatak sayısını hesaplamaktır. Ayrıca, diğer servis yataklarının dolu olması nedeniyle geciken taburculuk sürecinin alternatif bir politika önerisiyle ele alınması hedeflenmektedir. Oluşturulan simülasyon modeliyle, YBÜ hizmetlerinin mevcut durumunu hasta bekleme süreleri açısından azaltılabileceği bulunmuştur. Tam zamanında hasta taburculukları YBÜ yataklarına nakledilecek hastaların ortalama bekleme sürelerinin azaltılabileceği gözlemlenmiştir.

Anahtar Kelimeler

Yoğun Bakım Ünitesi, Hasta Akışı, Kapasite Planlaması, Simülasyon

Destekleyen Kurum

yok

Proje Numarası

yok

ASSESSMENT OF PATIENT FLOW IN INTENSIVE CARE UNITS: SIMULATION MODELING FOR TERTIARY HOSPITALS

Öz

Modeling patient flow in intensive care systems can contribute to a better understanding of processes and the utilization of these models can enhance the functionality of intensive care systems. Poor management of patient flow in intensive care units (ICUs) can lead to patient waiting times and patient rejections. Additionally, ICU management faces significant challenges in terms of capacity management and planning. This article focuses on modeling the flow of intensive care patients in a tertiary public university hospital using discrete event simulation method and addressing capacity needs. Delays can occur in the transitions between services for patients in need of intensive care and those who have completed their care. The aim is to evaluate the performance of patient flow management policies and calculate the required number of beds when the waiting times for patients are minimized in the current bed capacity, via simulations of the constraints in the admission, intensive care bed waiting, and discharge processes of Intensive Care Unit (ICU) patients. Furthermore, the study aims to address the delayed discharge process due to the unavailability of other service beds, by proposing an alternative policy. The simulation model created has been found to reduce waiting times for patients in the current state of the ICU services. It has been observed that the discharge of patients in a just-in-time manner has reduced the average waiting times for patients to be transferred to ICU beds.

Anahtar Kelimeler

Intensive Care Unit, Patient Flow, Capacity Planning, Simulation

Proje Numarası

yok

Kaynakça

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