A QUEUING APPROACH INTO A REGIONAL HOSPITAL MODEL
Author(s)
Kobayashi D1, Matsui M2, Sakamaki H31The University of Electro-Communications, Minato-ku, Tokyo, Japan, 2The University of Electro-Communications, Chofu, Tokyo, Japan, 3Meijo University, Nagoya, Aichi, Japan
Presentation Documents
ORGANIZATION: We discusses two hospital network models by Queuing Theory. One is Japanese Hospital Network Model and the other is European one. These models are mainly focused on Patient Movement in a Health Care district of approximately 100,000,000 inhabitants. Under certain conditions, the waiting time at the medical station and the station occupancy rate are observed by Jackson Network Theory. And then this paper defines the appropriate number of medical stations for a hospital on the number of patients per day in that district. PROBLEM OR ISSUE ADDRESSED: The enhancement of patient satisfaction is of course of vital importance from the hospital management perspective, however it is also important to consider that the length of waiting time may also have a direct influence on life and death outcomes in severe cases. In this context, research of "Waiting Time in the Health Care Sectors" has been reported in various fields. In the medical and pharmaceutical practical fields, many studies propose a concrete strategy for the improvement of waiting times. The establishment of amenities and processes to relieve waiting times are assessed in the functional evaluation manuals for medical institutions. GOALS: In this study the ideal waiting time is thought to be within the range of 15 – 30 minutes, based on the previous research conducted where the majority of patients considered this to be a waiting time they could tolerate. OUTCOMES ITEMS USED IN THE DECISION: We propose a model for a regional health care system and we define the data parameters for a regional hospital model. Medical institutions within our model divide the patient’s symptoms into 4 levels of severity, with the treatment process being dependent on these severity levels. With patient arrival at hospitals being based on the Poisson-type time series, and the utilisation of Queuing Model for hospital analysis, we were able to formulate the average waiting time at medical institutions. Our models referred to the East Tokyo Healthcare District, within the Secondary Healthcare Service Region of Tokyo. According to the 2008 Tokyo Healthcare Plan, the population in this region is approximately 1.3 million, with regional medical facilities including 1 district hospital, 53 medium-sized hospitals and 946 clinics. Based on the 2005 MHLW Patient Survey, which indicated the national average of patient consultation rates to be 5.5%, approximately 71,500 patients would be expected in this district daily. IMPLEMENTATION STRATEGY: Free access (choice) is limited in most Western countries. Generally, patients must initially consult with their general practitioner (GP) at their clinic. The general practitioner then determines whether the patients’ condition requires more advanced medical treatment within a secondary health care system. In other words, the clinic is the “gatekeeper” to advanced medical services. We apply this gatekeeper model into our alternative model as Western Model. RESULTS: Patient waiting time was examined using two different models. One being the Japanese model, which permits free access to any hospital by patients with any level of severity and the other being the Western model, which does not permit free access. As patients with even mild conditions are diagnosed and treated at institutions with advanced medical facilities, as seen in the Japanese model, it is noted that the waiting time at district hospitals tends to be extensive. On the other hand, it is noted in the Western model, where the flow of the patient is more efficient, there is a greatly reduced waiting time for patients with serious conditions. The Western model is considered to be more effective. LESSONS LEARNED: Operation Research, Network Model, Queuing Theory
Conference/Value in Health Info
2010-11, ISPOR Europe 2010, Prague, Czech Republic
Value in Health, Vol. 13, No. 7 (November 2010)
Code
PCASE7
Topic
Health Service Delivery & Process of Care
Topic Subcategory
Quality of Care Measurement
Disease
Multiple Diseases