1. OPERATING ROOM PRICING POLICY CRITICAL SUCCESS CRITERIAS
EGE SAĞLIK HOSPITAL
OPERATING ROOM PRICING POLICY
TEAM MEMBERS
ÇAĞLA CİHANBEYLERDE SEREN ÖZEN
ELİF SULTAN GEZİCİ TUĞÇE KALKAN
ADVISORS
MURAT FADILOĞLU SENCER YERALAN
SUPERVISIOR
ÜMİT BOYACIOĞLU
BACKGROUND
SYMPTOMS
CRITICAL SUCCESS CRITERIAS
MODEL
t : slot times
L: operating times
k : operating types
Pk: The price associated with operating types
D t,L,k: The expected demand of operating type (t,L,k)
Cw:The capacity numbers of operating room on week
X t,L,k : Optimal allocations to operation types (t,L,k)
Maximize f : ∑ Pk* X t,L,k
Subject to
∑ X t,L,k<= Cw ∀ w
X t,L,k<= D t,L,k ∀ t,L,k
X t,L,k>= ∀ t,L,k
Operating rooms account for 35% - 40% of total revenue for Ege Sağlık Hospital
7 operating room & 6 can work actively
High utilization is desirable
Utilization depends on demand
Demand depends on price
AIM : Design pricing policy to increase demand utilization and profit.
Purpose :
Solving the problems identified was to develop a new pricing policy for ORs .
Proposed pricing policy will increase the profitability of the hospital
Critical success factors :
Minimize the deflections of time between the operations
Keeping the doctors in long term at hospital
Developing appropriate price policy to increase potential patients
OBSERVATION & DATA
The most important symptoms
Pricing
Doctor
Patient
Operations
REFERENCES
Bell, P.C. (1998), “Revenue Management: That’s the Ticket,” OR/MS TODAY, 25, 2 (April 1998),
Denton B, Viapiano J, Vogl A (2007) Optimization.
ofsurgery sequencing and scheduling decisions under uncertainty. Health Care Management Science.
Gupta, D. and L. Wang (2008). "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice.“Operations ResearchChapman, S. N. and J. I. Carmel (1992).
LITERATURE REVIEW
Revenue management helps to influence and predict consumer demand to optimize price and availability in order to maximize revenue growth.
The challenge is to sell the right resources to the right customer at the right time.
Limited Capacity
Seasonal Demand
Non-Stocked Product
Early Booking
Two popular approaches for RM solution;
Deterministic linear programming
Dynamic programming
PROBLEM DEFINITION
Inefficient use of ORs
Low profitability from ORs
RM characteristics
ACKNOWLEDGMENTS
We thank Sencer Yeralan and Murat Fadıloğlu for advising , Sinem Uysal for assistance, and Ümit Boyacıoğlu for experience and support. This project was provided by the Department of Industrial Engineering and Ege Sağlık Hospital.
Visitor doctors create more than twice as much revenue as staff doctor