EGE SAĞLIK HOSPITAL
OPERATING ROOM PRICING POLICY
TEAM MEMBERS
ÇAĞLA CİHANBEYLERDE
ELİF SULTAN GEZİCİ
SEREN ÖZEN
ADVISORS
MURAT FADILOĞLU
SUPERVISIOR
SENCER YERALAN
ÜMİT BOYACIOĞLU
TUĞÇE KALKAN
BACKGROUND
SYMPTOMS
MODEL
CRITICAL SUCCESS CRITERIAS
t : slot times
Operating rooms account for
35% - 40% of
Purpose :
total revenue for Ege Sağlık Hospital
L: operating times
 Solving the problems identified
7 operating room & 6 can work actively
was to
High utilization is desirable
policy for ORs .
Utilization depends on demand
develop a new pricing
Proposed
Demand depends on price
increase
k : operating types
pricing
Pk: The price associated with operating types
D t,L,k: The expected demand of operating type (t,L,k)
policy
will
Cw:The capacity numbers of operating room on week
the profitability of the
X t,L,k : Optimal allocations to operation types (t,L,k)
hospital
Critical success factors :
AIM : Design pricing policy to increase
Maximize
Minimize the deflections of
demand utilization and profit.
Subject to
time between the operations
Top 5 Revenue Generating Surgery Type
General Surgery
20%
Obstetrics and
Gynecology
27%
8%
10%
Brain and Nerve
Surgery
21%
14%
Cardiovascular
Surgery
Ear, Nose and
Throat Disorders
The Rate of Revenue Types of
Doctors
31%
69%
Others
Staff Doctor
Visitor Doctor
 Visitor doctors create more than twice as
much revenue as staff doctor
term at hospital
Developing
The most important symptoms
price
 Doctor
potential patients
 Patient
policy
appropriate
 Pricing
to
 Operations
PROBLEM DEFINITION
 Inefficient use of ORs
 Low profitability from ORs
REFERENCES
increase
LITERATURE REVIEW
∀w
∀ t,L,k
∀ t,L,k
∑ X t,L,k<= Cw
X t,L,k<= D t,L,k
X t,L,k>=0
Keeping the doctors in long
OBSERVATION & DATA
f : ∑ Pk* X t,L,k
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.
Revenue management helps to influence and predict
ofsurgery sequencing and scheduling decisions under
consumer demand to optimize price and availability in
uncertainty. Health Care Management Science.
order to maximize revenue growth.
Gupta,
The challenge is to sell the right resources to the right
Management for a Primary-Care Clinic in the Presence
customer at the right time.
of Patient Choice.“Operations ResearchChapman, S.
Limited Capacity
N. and J. I. Carmel (1992).
Seasonal Demand
Non-Stocked Product
RM characteristics
D.
and
L.
Wang
(2008).
"Revenue
ACKNOWLEDGMENTS
Early Booking
We thank Sencer Yeralan and Murat Fadıloğlu for
Two popular approaches for RM solution;
advising , Sinem Uysal for assistance, and Ümit
 Deterministic linear programming
Boyacıoğlu for experience and support. This project
 Dynamic programming
was
provided
by
the
Department
Engineering and Ege Sağlık Hospital.
of
Industrial