Presenter
Michael Carter is Professor in the Dept. of Mechanical
and Industrial Engineering at the University of Toronto and Director of the
Healthcare Resource Modelling Lab.
For more than one decade, his research interests have been primarily focused
on healthcare resource modelling. He has been involved in a variety of
projects in hospitals, home care, rehabilitation, long term care, medical
labs, and mental health institutions. Current projects include forecasting
waiting lists in Ontario, operating room management and scheduling,
allocation of HIV prevention resources, patient flow and capacity modelling,
and cancer patient processing.
Prof. Carter has cooperated with a number of hospitals in Toronto including
the Sunnybrook Health Sciences Centre, the Toronto Hospital,
the Mount Sinai Hospital, and the Hospital for Sick Children.
Prof. Carter is a member of the “Nursing Effectiveness, Utilization and
Outcomes Research Unit” and a mentor in the “Health Care, Technology and
Place Program” at the University of Toronto. He is also an Adjunct Scientist
with the Institute for Clinical Evaluative Sciences in Toronto.
Prof. Carter is a three time recipient (1988, 1992, 1996) of the Annual
Practice Prize from the Canadian Operational Research Society (CORS).
In 2000, he received the CORS Award of Merit for lifetime contributions to
Canadian Operational Research. He also received an “Excellence in Teaching”
Award from the University of Toronto Student Administrative Council. He is a
member of the editorial board of the “Journal of Scheduling” and of the
journal “Health Care Management Science”.
Operations Research in Hospitals
Health care systems all over the world are in the midst
of a serious financial crisis, and the situation will likely get worse in
the next few years. Demand is growing as the population ages, health human
resources are becoming critical, and costs are increasing as the drugs and
technologies continue to get more complex and expensive. Of course, it would
help if there were more money available. However, hospitals could be run a
lot more efficiently.
Operations Research is the discipline of applying quantitative methods to
help make better decisions. Operations Research tools can help hospitals
improve quality, reduce costs, improve effectiveness and increase efficiency.
The objective of the tutorial is to introduce a few concepts from Operations
Research and quantitative analysis in the health care sector. An overview of
some potential areas of application will be provided and illustrated with a
variety of techniques including performance measurement, simulation
modelling, scheduling, queuing, forecasting and mathematical programming.
Program
09:00 - 11:00 Introduction: Hospitals within the Health Care System
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The role of hospitals within the Health Care system
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The importance of measuring performance
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Introduction to some measurement techniques: Benchmarking, Balanced Scorecard, Data Envelopment Analysis and Statistical Process Control
11:00-11:15 Coffee break
11:15-12:30 Patient Flow and Simulation Modelling
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The issues of patient flow within the hospital
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Introduction to the concept of simulation
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Examples of using simulation for emergency department flow
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Two examples of systems dynamics (continuous simulation modelling) to improve patient flow through hospitals
12:30-13:30 Lunch
13:30-15:00 Operating Room Scheduling
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Introduction to the role of scheduling within a hospital with examples of the impact of poor scheduling practices
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Examples of operating room scheduling and planning
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Examples of scheduling a hospital fracture clinic
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The use of priorities to manage wait lists effectively
15:00-15:30 Coffee break
15:30-17:00 Introduction to Demand and Capacity Management
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The importance of understanding the relationship between the available resources in the hospital and the expected demand for service
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An example using Mathematical Programming as a decision support tool for hospital strategic planning (planned elective surgical case volumes) in the face of budget constraints
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Forecasting methods to determine future demand and scenario testing
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The use of queueing models for hospital planning
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Introduction to capacity planning – How many beds does the hospital actually require by day of week and time of day?
Prices
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GOR member 150€
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Non-GOR member 400€
Download Flyer
Please register at the GOR-Geschäftsstelle:
Frau Bärbel Niedzwetzki
Am Steinknapp 14 b
D-44795 Bochum
Fax: +49 (0)2 34 / 46 22 45
gor@ruhr-uni-bochum.de