ACM Home Page
Please provide us with feedback. Feedback
Using simulation to improve outpatient appointment system with minimum change
Full text PdfPdf (1.99 MB)
Source
Spring Simulation Multiconference archive
Proceedings of the 2008 Spring simulation multiconference table of contents
Ottawa, Canada
SESSION: 17th annual international conference on health sciences simulation (ICHSS'08): Health services I table of contents
Pages 507-512  
Year of Publication: 2008
ISBN:1-56555-319-5
Authors
Jiahua Li  Waseda University, Wakamatsu-ku, Kitakyushu, Fukuoka, Japan
Yue Zhou  Waseda University, Wakamatsu-ku, Kitakyushu, Fukuoka, Japan
Fukuya Ishino  Waseda University, Wakamatsu-ku, Kitakyushu, Fukuoka, Japan
Sponsors
SIGSIM: ACM Special Interest Group on Simulation and Modeling
(SCS) : The Society for Modeling and Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 52,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

As a result of population aging in Japan, health care has become the focus of the society. As an essential quality measure, the outpatient waiting time has to be dealt well with. an effective appointment system plays an important role in controlling outpatient waiting time. In our case, the current waiting time is not shorter than the normal level of the country. And since it is expensive and risky to upgrade the entire appointment system at one time, the less modification the solution requires the easier it will be accepted. As a result, the purpose of this study is to reduce outpatient waiting time with minimum change of the current system. In this paper, a simulation model for the clinic in the 1st Internal Medicine Department was developed to examine various classical appointment patterns and a pattern created by optimization tool. The results show that the appointment pattern is a leverage of the current system. By only optimizing it, the proposed appointment pattern could reduce outpatient waiting time by 38% on average without adding a single resource. Furthermore, by the study of other clinics with the same method, patient's arrival process is considered to be the most factors for choosing those patterns.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Babes, M, and V Sarma. "Out-Patient Queues at the Ibn-Rochd Health Center." Journal of the Operational Research Society 42 (1991): 845--855.
 
2
Cayirli, Tugba, and Emre Veral. "Outpatient Scheduling in Health Care: a Review of Literature." Production and Operations Management, 2003: 519--549.
 
3
Harper, P. R., and H. M. Gamlin. "Reduced Outpatient Waiting Times with Improved appointment Scheduling: a Simulation Modelling Approach." OR Spectrum, 2003: 207--222.
 
4
Heaney, D J, J G Howie, and A M Porter. "Factors Influencing Waiting Times and Consultation Times in General Practice." 1991: 315--319.
 
5
Jackson, A R. "A Waiting Time Survey in General Practice." Australian Family Physician, 1991: 1744--1750.
 
6
 
7
Klassen, K J, and T R Rohleder. "Scheduling Outpatient Appointments in a Dynamic Environment." Journal of Operations Management 14 (1996): 83--101.
 
8
Liu, L, and X Liu. "Block Appointment Systems for Outpatient Clinics with Multiple Doctors." Journal of the Operational Research Society 49 (1998): 1254--1259.
 
9
Lowery, J C, and J B Martin. "Design and Validation of Critical Care Simulation Model." Journal of Society for Health System, 3 1992: 15--36.
 
10
Rising, E, R Baron, and B Averill. "A System Analysis of a University Health Service Outpatient Clinic." Operations Research 21 (1973): 1030--1047.
 
11

Collaborative Colleagues:
Jiahua Li: colleagues
Yue Zhou: colleagues
Fukuya Ishino: colleagues