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  Program Agenda

Important Notes:

 

  • Participants are required to bring a calculator.
  • The times in the agenda will remain flexible, but all content will be covered.
  • Save the date!  An open office hour web-based session with the program faculty, Eugene Litvak and John Salmon, is scheduled for: Wednesday, July 2, 2008 from 1:00 PM – 3:00 PM Eastern Time. During this time, attendees are encouraged to share their data and ask any questions that may have emerged while implementing queuing theory models within their organization.

 

 

 

Wednesday, June 18, 2008

 

7:00–8:00 AM

Registration and Continental Breakfast

 

 

 

 

8:00-8:30 AM    

Welcome, Community Building, and Pre-work Review

 

 

 

 

 

This session will introduce the attendees to objectives of the Queuing Theory and review of the assigned pre-work. Attendees will be asked to share their experiences and will be asked to identify areas where they need help calculating the resources needed to meet their patient demands.

 

 

 

 

8:30-9:00 AM

Variability Discussion

 

 

Objective: Identify sources of variability in different health care settings. 

 

 

 

Required reading: “Variability in Surgical Caseload and Access to Intensive Care Services”, Anesthesiology (2003). This article will be provided.  

 

 

 

 

 

9:00-10:30 AM

History and Health Care Applications of Queuing Theory

 

 

Objective:  Describe the origins of Queuing Theory and why its application to health care is so valuable.

 

 

Queuing theory is a powerful tool that has helped industries from airports to the Internet figure out the relationship between random customer demand and fixed capacity. If this is true, why haven’t queuing theory models been applied to health care until recently? This session will describe the origins of Queuing Theory and why its application to health care is so valuable now.

 

 

 

 

10:30-10:45 AM

Break

 

 

 

 

10:45-12:45 PM

Introduction to Queuing Theory

 

 

 

 

 

Objective:  Describe basics of Queuing Theory and the main characteristics of the queuing systems (e.g., waiting time, length of the queue).

 

 

How does one begin to coordinate staffing, number of available beds, and number of rooms available for surgery in order to match an every changing level of patient demand, all while balancing available financial resources? This session will formally introduce the Queuing Theory as a means for managing patient demand within a fixed capacity environment. Throughout this seminar, several queuing theory models will be discussed, because different queuing problems require different models to arrive at an accurate solution. During this particular session, various problems based on different patient arrival and service patterns will be introduced and discussed.

 

 

 

 

12:45-1:45 PM

Lunch

 

 

 

 

1:45-2:45 PM     

Queues with Waiting and Queues with Rejection

 

 

 

 

 

Objective:  Describe main types of queuing systems when the request is waiting if the server is not available or if the request is being rejected if the server is not available.

 

 

There are many complex variables affecting efficiency in health care, such as average waiting time, number of patients waiting for care, and probability that a patient will be diverted to another facility. The main two types of queuing theory models covered during this seminar will be introduced, and illustrations from health care as well as non-health care settings will be presented.      

 

 

 

 

2:45-3:15 PM

Break

 

 

 

 

3:15-4:45 PM

Queuing Model with Waiting and Exponential Arrival and Service

 

 

 

 

 

Objective:  Apply one of the main queuing models with waiting and exponential arrival and service

 

 

How many exam rooms do you need in order to ensure the waiting time to access these units will not exceed the standard you’ve set? Similarly, how many beds do you need on your medical surgical unit or how many nurses do you need in your ICU?  This session will i be discussed.th rejection.tell the operator we'ther priorities. ld love to hear your thoughts.pend on for things like budgntroduce an important Queuing Theory model. Faculty will provide attendees with examples from healthcare, and will walk through several calculations demonstrating how to use and apply this second Queuing Theory model. 

 

 

 

 

4:45-5:00 PM

Questions, Summary, and Review of Day 2

 

 

 

 

5:00-6:00 PM

Networking Cocktail Reception

 

 

 

 

Thursday, June 19, 2008

 

7:00–8:00 AM

Registration and Continental Breakfast

 

 

 

 

8:00-8:05 AM

Introduction to Day 2

 

 

 

 

8:05-9:35 AM

Queuing Model with Waiting and Exponential Arrival and Service, Exercises (continuation of the previous sessions)

 

 

Objective: Apply one of the main queuing models with waiting and exponential arrival and service

 

 

Exercises for the second Queuing Theory model will be completed during this session. Faculty will solve several problem solved with this model.

 

 

 

 

9:35-10:00 AM

Break

 

 

 

 

10:00-11:45AM

Queuing Model with Priorities

 

 


Objective: Apply a queuing model with priorities for different health care settings (e.g., waiting time for triage and triage capacity).

 

 

Patients waiting for treatment in the Emergency Department are usually seen in order according to the severity of their symptoms. This session will introduce a Queuing Theory model that will help to calculate things such as waiting time and average number of people in the queue in settings when you have priority issues. Sample calculations, lead by faculty will be executed during this session.

 

 

 

 

 

11:45-12:45 PM

Lunch

 

 

 

 

12:45-2:00 PM

Queuing Model with Losses

 

 

 

 

 

Objective: Apply a queuing model with losses for different health care settings (e.g., reduce the number of patients leaving without being seen)

 

 

Can you accurately estimate how many patients leave your ED without being seen? What measures can be improved in order to reduce this number? This session will introduce the queuing model with losses, which will help predict the likelihood of this event and will also demonstrate how to reduce this number. Participants will complete several calculations with guidance from the faculty.

 

 

 

 

2:00-3:00 PM     

Real-Life Discussion      

 

 


Objective: Successfully apply the correct queuing theory model to specific problems at your organizations.

 

 

This session covers two, real-life examples that have been gathered from attendees prior to the seminar. Dr. Litvak leads attendees through solving these problems, and talks about how to bring the queuing theory models you've learned back to the problems at your organizations. 

 

 

 

 

3:00 PM

Adjourn