A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems

Xie, Hao; Chaussalet, Thierry J.; Rees, Mike

doi:10.1109/cbms.2007.12

Cited by 11 publications

(28 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to apply the theoretical queueing network model to real patient flow, it is essential to validate the assumption of the Poisson process for the arrival flow of patients of routes (2,1) to Ward 300; patients of routes (23,2) and (27,3) to Ward 300; patients of routes (9,1), (15,1), (23,1), and (27,1) destined to Ward 30M; and all patients from outside the hospital (see Fig. 4).…”

Section: Arrival Processesmentioning

confidence: 99%

See 1 more Smart Citation

Queueing network model for obstetric patient flow in a hospital

Takagi

Kanai

Misue

2016

Health Care Manag Sci

View full text Add to dashboard Cite

A queueing network is used to model the flow of patients in a hospital using the observed admission rate of patients and the histogram for the length of stay for patients in each ward. A complete log of orders for every movement of all patients from room to room covering two years was provided to us by the Medical Information Department of the University of Tsukuba Hospital in Japan. We focused on obstetric patients, who are generally hospitalized at random times in a day, and we analyzed the patient flow probabilistically. On admission, each obstetric patient is assigned to a bed in one of the two wards: one for normal delivery and the other for high-risk delivery. Then, the patient may be transferred between the two wards before discharge. We confirm Little's law of queueing theory for the patient flow in each ward. Next, we propose a new network model of M/G/∞ and M/M/m queues to represent the flow of these patients, which is used to predict the probability distribution for the number of patients staying in each ward at the nightly census time. Although our model is a very rough and simplistic approximation of

show abstract

Section: Arrival Processesmentioning

confidence: 99%

“…Extensive work has been carried out on the application of system-scientific approaches, in particular, queueing theory, to the patient flow in hospitals. For example, surveys [6,7,10,20] and original papers [5,[14][15][16][17][26][27][28]. In particular, queueing network models have been proposed and studied by Hershey et al [12,25].…”

Section: Introductionmentioning

confidence: 99%

Queueing network model for obstetric patient flow in a hospital

Takagi

Kanai

Misue

2016

Health Care Manag Sci

View full text Add to dashboard Cite

show abstract

“…There has been extensive work on applying systemscientific approach, in particular queuing theory, to the patient flow in hospitals such as surveys [2][3][4] and original papers [5][6][7][8] just to name a few. Among others, the patients in the obstetric and neonatal units are studied in [9,10].…”

Section: Introductionmentioning

confidence: 99%

Queuing Network Model and Visualization for the Patient Flow in the Obstetric Unit of the University of Tsukuba Hospital

Takagi

Misue

Kanai

2014

2014 Annual SRII Global Conference

View full text Add to dashboard Cite

A complete data set of every movement of all the inpatients from room to room covering two years was provided us by the Medical Information Department of the University of Tsukuba Hospital in Japan. By focusing on the obstetric patients, who are assumed to be hospitalized rather at random times, we have analyzed the patient flow using our original visualization software. Upon admission, each obstetric patient is assigned to a bed in one of the two wards, one for high-risk delivery and the other for normal delivery, and then she may be transferred between the two wards before discharge. We confirm Little's law of queuing theory for the patient flow in each ward. Then we propose a network model of M/G/f f and M/M/m queues to represent the flow of these patients, which is used to predict the probability distribution for the number of patients staying in each ward at the nightly census time from the observed data of patient admission rate and the histogram of the length-of-stay (LOS) in that ward. Although our model is a very rough and simplistic approximation of the real patient flow, the predicted probability distribution is shown to be in good agreement with the observed one. Our method can be used for planning the capacity of obstetric units when the patient demand is predicted.

show abstract

“…The same methodology is used in [46] to analyze flow of obstetric patients. Patient flow within a care facility is studied from another perspective in [43] and [208]. In these papers, different phases in the care trajectory of a patient are considered.…”

Section: Patient Flowmentioning

confidence: 99%

“…In these papers, different phases in the care trajectory of a patient are considered. While in [43] a closed queuing network is used, in [208] the model is extended to a semi-open queuing network with a capacity constraint (the maximum number of patients that can be admitted).…”

Section: Patient Flowmentioning

confidence: 99%

Curing the queue

Zonderland

View full text Add to dashboard Cite

A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems

Cited by 11 publications

References 5 publications

Queueing network model for obstetric patient flow in a hospital

Queueing network model for obstetric patient flow in a hospital

Queuing Network Model and Visualization for the Patient Flow in the Obstetric Unit of the University of Tsukuba Hospital

Curing the queue

Contact Info

Product

Resources

About