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

Alkan Durmuş; Ali Özdemir

Makale detayları

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

Yazarlar:

Alkan Durmuş | Ali Özdemir

Yayıncı:

Hacettepe University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Hacettepe Sağlık İdaresi Dergisi Vol.26 Issue 4, pp.1009-1032

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307354

pISSN:

2148-9041

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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.

Makale detayları

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

Yazarlar:

Alkan Durmuş | Ali Özdemir

Yayıncı:

Hacettepe University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Hacettepe Sağlık İdaresi Dergisi Vol.26 Issue 4, pp.1009-1032

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307354

pISSN:

2148-9041

Intensive Care Unit

Patient Flow

Capacity Planning

SimulationYoğun Bakım Ünitesi

Hasta Akışı

Kapasite Planlaması

Simülasyon

Sayı

Makale detayları

Yazarlar: Alkan Durmuş | Ali Özdemir

Yayıncı: Hacettepe University

Ana Başlıklar: Sağlık Kurumları Yönetimi

Dergi: Hacettepe Sağlık İdaresi Dergisi Vol.26 Issue 4, pp.1009-1032

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001307354

pISSN: 2148-9041

Sayı

Yazarlar:

Alkan Durmuş | Ali Özdemir

Yayıncı:

Hacettepe University

Ana Başlıklar:

Sağlık Kurumları Yönetimi

Dergi:

Hacettepe Sağlık İdaresi Dergisi Vol.26 Issue 4, pp.1009-1032

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307354

pISSN:

2148-9041