Transcript Document

Managing performance of operating units
Research Plan
Antti Peltokorpi, MSc, Researcher, PhD candidate
[email protected]
Helsinki University of Technology
BIT Research Centre
Institute of Healthcare Engineering, Management and Architecture
Measuring success in operating unit
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Depending on the system environment and internal requirements, typical measures for
operating unit performance are capacity utilization, contribution to margin, and waiting
time
High personnel productivity can be seen as a shared enabling factor for all those
m
measures
Output
Pr oductivity P 

Input
d
j 1
j
Nj
n
H
i 1
i
Hi is working hours of profession i at the given period, dj is an average of duration of operation for operation type j, and Nj is a number of operations j at
the given period.
•
Cost-efficiency takes into account also additional costs due to delayed operations and
overtime working
n
Cost

Output
c H
i 1
i
i
 xO  yC  wD
m
d
j 1
j
N
j
ci is a hourly cost of work of profession i during office hours, x is a hourly cost of operating room overtime, O is a number of overtime hours, y is a cost
of delayed elective operations, C is a number of delayed elective operations, w is a cost of delayed emergency operations, and D is a number
of delayed emergency operations.
Production planning and control in operating unit
Decisions to be made
Resource
planning
Production
planning
Demand
management
1. What operations to
provide and in which site?
Master
production
scheduling
2. How to design the
operating unit process layout?
3. What operations and
how many to perform
during next 12 months?
4. How to staff operating
unit for the next 12 months?
5. How to allocate resources
to specialties for the
next 1-6 months?
Detailed
material
planning
Detailed
capacity
planning
Capacity
requirement
data
Capacity
and material
plans
6. How to schedule
operating room time blocks?
7. How to manage demand and
resources during the day of
operation?
Shop-floor
scheduling
systems
(adapted from Vollmann et al.1997)
Managerial challenges varied depending on the nature of
surgical process
Decreasing unit costs
High
Emergency
units
In terms of proportion
of emergencies and
number of specialties
Multi-specialty
regional
hospitals
Increasing
process
definition
Process
variety
Specialized
elective
hospitals
Local one surgeon
providers
Low
Low
Volume per unit
In terms of number of operating
rooms and operations per year
(adapted from Johnston & Clark 2005)
High
Research questions
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The primary research question in that licentiate thesis is:
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How to manage productivity and cost efficiency in multi-specialty
operating unit?
The sub-questions related to primary problem are:
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How productivity and cost efficiency can be forecasted in the
planning phase?
What is the effect of non-planned factors, such like personnel
absence and variation in emergency load, to productivity and cost
efficiency?
How the cost efficiency is consisted of the decisions in the surgical
services management process?
How operations and resources should be planned so that productivity
and cost efficiency are maximized?
Research process
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Primary case study: Jorvi Hospital
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Considering daily productivity and cost-efficiency
How decisions in the planning phase reflect on the daily
performance?
Path-analyses and regression analyses about factors affecting on
daily performance
Secondary case studies: Unfallkrankenhaus Berlin, PäijätHäme Central Hospital, Department of Gynecology, Kaiser
Permanente (?), Sutter Health (?)
―
How the results from Jorvi case can be generalized to other operating
units?
Example of data analysis
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Regression analysis: How the decisions in the planning phases reflect on the daily
performance?
Personnel
absence
Allocated
OR time
Estimated
OR
utilization
Planned
staff
intensity
Overutilized
OR time
Standby
personnel
Planned
personnel
Realized
personnel
Realized
costs
Estimated
productivity
Planned
productivity
Realized
productivity
Cost
efficiency
Estimated
operations
Planned
operations
Realized
operations
Estimated
emergency
load
Planning and estimating
Emergencies
from
previous days
Load from
previous days
Emergencies
on the day
of surgery
Cancelled
cases
Changes on the
day of surgery
Delayed elective
and emergency
cases
Performance
Additional
care costs