Building an operating time forecasting model to optimize computerized operating room scheduling
Date Issued
2006
Date
2006
Author(s)
Chen, Der-Fang
DOI
zh-TW
Abstract
Background:
With the continuing growth of cost since the implementation of national health insurance program in 1995, government and Bureau of National Health Insurance (BNHI) have tried all the efforts in alleviating the public's financial burden. Aim to cut the medical expenses while providing "universal coverage” and excellent quality of care, national health insurance program had taken the acts that implemented global budget payment system and quality-based payment method. In July 2001, the BNHI began to revise the fee schedule, by mainly taking reference from the US concept of the resource based relative value scale (RBRVS) and by fixing points for various medical services to rationally reflect the value of resources. The financial risk has thus been transferred to those who provide health care. To pursue for financial stability on operation, all the hospitals in Taiwan must be more efficiently reducing the running cost.
The operation unit involved intensive manpower and high-cost equipments. The efficiency and efficacy of the operation system on operation unit would greatly impact on the hospital finance. To be efficient on operation running system is now the paramount in hospital management. Among the many factors that impacted on the running system, operation scheduling by surgical time estimation is the most important one to eliminate unwanted cost and increase care quality.
Methods:
This study is to establish mixture models that estimate operating time distribution to schedule surgical agenda effectively. It retrospectively reviewed all the patient profile related to surgical procedures that taken place in operating room in study hospital from Jan.1st to Dec.31th, 2004. The dependent variable for analysis was operating time; the independent variables included: operating code related to surgery, patient gender, age, outpatient or inpatient as patient source, method of anesthesia, surgeons and their seniority years. The multiple regression analysis was used to test the relationship between operating time and the above independent variables (Model 1~4). To determine how the variables predicted operating time and develop an operating time forecasting model, general linear model with stratification was used (Model5~6). This forecasting model will serve as a basis for computerized scheduling system.
Results:
In the first four models, we find that variability in operating time is mainly affected from operating code-related surgery. The relationship between operating time and other variables are different according to different operations. In model 5 and 6, the variable of the surgeon itself will provide more accuracy in operating time estimation in building an operating time forecasting model.
Subjects
手術室
開刀房
手術時間
預測模式
電腦化手術室排程
operating room
operatng time
scheduling
forecasting model
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-95-P92843007-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):c17ddfaf43e1d9397a6b58efff08ed3d