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WHITE PAPER
Key Strategies for Improving Hospital Flow
BY:

Kirk B. Jensen, MD, MBA, FACEP

Content
The ED is a part of a hospital-wide
system of patient flow
Every system produces the results
it is designed to produce
Key strategic concepts to improve
patient flow
You cannot optimize a system by
optimizing just one part of the system
CONTENTS
KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW

Introduction................................................................................................................................................. 2
Every System Is Designed to Produce the Results It Produces....................................................................... 3
Demand-Capacity Management................................................................................................................... 3
Real-Time Monitoring of Patient Flow......................................................................................................... 4
Forecasting................................................................................................................................................... 4
Queuing Theory........................................................................................................................................... 5
The Theory of Constraints............................................................................................................................ 6
Managing Variation...................................................................................................................................... 7
The Appreciation of a System....................................................................................................................... 8
In Summary................................................................................................................................................. 8
About the Author......................................................................................................................................... 9
Contact..................................................................................................................................................... 10
INTRODUCTION
We are all engaged in a hospital-wide a system of

patient flow or patient care. We are each part of the
whole. The emergency department is connected
to the ICU. The ICU is connected to the OR. The
discharge and discharge processes are connected
to our admission capabilities and capacity. It’s
like the “Dry Bones” song you learned as a child,
“The foot bone’s connected to the leg bone, the
leg bone’s connected to the knee bone, the knee
bone’s connected to the thigh bone” and so forth.
Overall flow, or “the system,” can only be improved
by applying several key strategic concepts to these
disparate but equal parts.
	2 |
KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW

Back at that time when I was training, I was an
idealistic emergency physician managing an inner
city ER in downtown Los Angeles serving the poor.
I stumbled across an article written by Don Berwick
that said “every system is perfectly designed to
produce the results it produces.” It changed my life.
(Berwick MD, Donald M, Continuous Improvement
as an Ideal in Health Care, NEJM, January 5th, 1989,
p50).
I started looking at the ER as a set of processes, as
a system, with inputs, throughputs, and outputs. I
had to change those processes if I wanted different
results or outputs, because they were often “perfectly
designed to produce” some of the very results that
neither I, my co-workers, nor my patients liked.
As Thomas Edison has pointed out, “Discontent is the
first necessity of progress.”
So the question became: Are waits and delays
inevitable? We think the answer is no.
There are several key strategic concepts which can be
applied to improve patient flow:
•	
•	
•	
•	
•	
•	
•	

Demand-capacity management;
Real-time monitoring of patient flow;
Forecasting service and service demand;
A basic understanding of queuing theory;
The theory of constraints;
Managing variation; and
Appreciation of a system.

Demand-Capacity Management
What should capacity look like to guarantee quality
care? Here’s a profile of demand and capacity.

NUMBER OF PATIENTS

Every System Is Designed to
Produce the Results It Produces

TIME
The horizontal axis is time and the vertical axis
is the actual number of emergency department
patient by hour. In the ED this often seems totally
unpredictable, however, if you look closely, you will
notice there is lot of white space above and below the
graph and a line drawn through the middle of the
curve begins to approximate predicted demand by
hour of the day or day of the week.
How do we match demand and capacity? You need to
predict demand based upon your historical data. You
need to match your service capacity to your patient
demand. You need daily patient flow predictions by
hour of the day and plans to service those predictions.
You also need to implement a real-time dashboard
for key operational cycle times and then measure,
monitor, and service those cycle times. You need to
do this while respecting the desires, concerns, and
goals of your people, of your team. Demand-capacity
management is critical. We cannot plan on or even
hope for our capacity routinely meeting our demand
without planning, foresight, and action.

|3
Real-Time Monitoring
of Patient Flow

All by setting up a system where units could grade
how busy they were, put a temporary halt to new
admissions while they managed the patients they had,

McDonald’s does it. They have cameras they
nicknamed “Hyperactive Bob” that monitor incoming
customer traffic. They use software to predict what
the “soccer mom in the van with three kids” is going
to order. They can get five to ten minutes upstream
on predicting what their demand is going to be.
McDonald’s reduced their waiting time and cut waste
in half using this process.

monitor hospital-wide patient flow, and disseminate
this information in real-time to all of the key
departments and personnel.

Now imagine a busy freeway. It’s a dark Friday night
and you’re driving 75 miles an hour on this busy
freeway. Now, turn off the dashboard and headlights.
How long do you think you could stand it? How long
could you maintain your sense of safety and mastery?
This is what we do every day in our hospitals; we
show up, our real-time dashboard is not available, our
headlights are turned off, and then we brag about how
well we can manage the chaos. There is a better way.
You need an inpatient flow dashboard. It can be grease
board, pen, or electronic, but you need some way of
monitoring flow in real time.

Forecasting
Do you look at the weather forecast before you leave
home? Forecasting plays a significant role in your life
on a daily basis and ought to play a significant role in
your life within the hospital. You can predict patient
flow. You can predict unscheduled arrivals with about
80 to 85% accuracy. You don’t know their names but
you do or should know who’s coming, what’s coming,
why they are coming, and what set of resources they’ll
need.
How many Friday nights does it take before you
decide your next Friday night is going to be different?
How many flu seasons does it take before you decide
your next flu season’s going to be different? Patient
flow is predictable.

Here’s what happened at Luther Middlefort Hospital
once they introduced a hospital-wide intranet
dashboard and a system for capping patient flow to
units that were overwhelmed:
•	 Increased patient throughput, resulting in
increased revenue of about $200,000 per month;
•	 Increased the percentage of patients who were put
into bed within one hour from 23% to 40%;
•	 Reduced ED diversions from 12% to 1 to 2%; and
•	 Decreased the overall number of open nursing
positions from about 10% to 1%.

	4 |

0:00 1 :00

2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 1 0:00 1 1 :00 1 2:00 1 3:00 1 4:00 1 5:00 1 6:00 1 7:00 1 8:00 1 9:00 20:00 21 :00 22:00 23:00

FY2004 Q-1

1 54

1 49

1 20

81

83

79

99

1 53

1 66

269

253

277

235

260

274

268

294

307

332

352

345

299

278

21 1

FY2005 Q-1

1 60

119

1 07

83

71

76

85

1 06

1 56

208

226

230

260

243

260

260

304

286

302

333

287

270

260

1 98

This emergency department patient flow graph
charts arrivals, patient volume, and arrival by hour
of the day.
KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW

This is your emergency department. This could
actually be any emergency department in the United
States. The actual number of patients per hour may
vary but the curve is the same.

Here’s a queuing model in action in a MICU:

The key questions are:
•	
•	
•	
•	

How many patients are coming?
When are they coming?
What are they going to need?
Is our service capacity going to match
patient demand?

Queuing Theory
Queuing theory is the art and science of matching
fixed resources to unscheduled demand. You are
engaged in a queuing model any time you are in a
system with unscheduled or uncontrolled arrivals.
Whether you’re in a line waiting to register, at
Starbucks awaiting your coffee, at McDonald’s to
order a burger, or serving patients in the ER, that is a
queuing system.
Facts about queuing systems:
•	 Systems that are serving unscheduled or
uncontrolled arrivals behave in a characteristic
fashion.
•	 When patient inflow and service times are
random, the response to increasing utilization is
nonlinear.
•	 As utilization rises above 80 to 85%, waits and
rejections increase exponentially.
The great thing is that at high levels of utilization,
small changes can lead to big improvements.

The horizontal axis is the utilization percentage. At
0%, the MICU is totally empty. At 100%, every bed
is full.
The vertical axis is the rejection rate. If the MICU
is totally empty, the odds of you being rejected for a
requested bed are zero. If the MICU is totally full, the
odds of rejection are close to 100%.
Notice the shape of the curve. As you get to 60%
utilization, it starts to take off. You will note this is
not a linear curve. It rises steeply and the sweet spot is
probably about 80 to 85%.
Operating at 100% capacity or occupancy, in a
system with unscheduled arrivals and/or variation
in service times, is absolutely the wrong way to go.
There is simply no way you can run a queuing system
at 100% utilization. You want to be at about 80 to
85%. In unit after unit where they have been able
to drop down to 80 to 85, or even 90% utilization,
hospitals are better able to handle the inflows and the
variation. As a result, throughput goes up, profits go
up, and healthcare worker satisfaction goes up.

|5
The Theory of Constraints
The Theory of Constraints was articulated by Eli
Goldratt. His novel is called The Goal. It’s a quick
read. It’s about a guy who is trying to save his job and
his marriage. He is trying to save his relationship with
his son, and he does it through the understanding and
application of the theory of constraints. After reading
this, you will never ever walk into an ER or a hospital
without thinking about the theory of constraints.

satisfaction went up, but were disappointed to learn
that throughput cycle time, their most important
objective, did not change.
Does that mean that an admission nurse is a bad
idea? Absolutely not. What it means is that in this
particular hospital, the functions of the admission
nurse were not a critical bottleneck to the flow or
process of getting the admitted patient to an inpatient unit.
What the hospital should have done was map out
their process flow, look at the cycle times, and then
experiment with an admission nurse to see if it
reduced the process times. Not only does the theory
of constraints allow you to understand how a system
works, but it also helps you identify which bottlenecks
are irritants and which bottlenecks are essential to the
critical path.

The key principles:
•	 Patient care is a network of queues and service
transitions.
•	 An hour lost at a bottleneck is an hour lost for the
whole system.
•	 Time saved at a non-bottleneck is a mirage.
•	 Efforts spent improving a non-critical bottleneck
will not improve the overall performance of your
process or system.
Here’s one example: A hospital was trying to reduce
the cycle time for admitting patients from the ER
to upstairs. They thought hiring an admission nurse
would be the solution. They hired four people
and deployed a full-time admission nurse. They
pleasantly discovered that patient satisfaction,
nursing satisfaction, and emergency physician

	6 |

Efforts spent improving a non-critical bottleneck
will not improve the overall performance of your
system.
To make matters even more complex, bottlenecks
can jump around. For a certain period of time, the
bottleneck may be a bed. For another period of time,
it may be lab. For another period of time, it may be
the discharge process.
Another example. One hospital found that getting
patients out of the PACU was a problem. Patients
were delayed in the PACU, potentially backing
up the OR. Through further investigation, they
discovered that all orthopedic patients leave on an
anticoagulation regimen. The true bottleneck was
actually getting medication delivered on the day of
discharge.
AVERAGE NUMBER OF PEOPLE ON HOLD

20
18
16
14
12
10
8
6
4
2
0

Calls / hr = 29
NOTE:
- Average Call lasts 2 minutes.
- Calls are answered by one person full time
Calls / hr = 28
Calls / hr = 27
Calls / hr = 25
LOW

MEDIUM

HIGH

VARIATION OF CALL LENGTH
Now you are confronted with several possibilities.
One – you can wait to try to speed things up the day
of discharge. Two – you can try to speed things up
the day before discharge. Or three – you can get the
pharmacy to deliver the meds on post-op day one.
They had a just-in-time delivery system that wasn’t
just in time. Patients need this medicine when they’re
discharged. This was prolonging discharge, sometimes
by a whole day. This was a key or critical constraint.
The solution was to move delivery up to day one.
After analysis, rapid-cycle testing and andingprototype
the improved outcome was 43 out of 43 patients
received medication on post-op day one with a simple
process change.

If we have 25 calls per hour with low variability,
almost nobody ends up on hold.

Managing Variation

There are multiple sources of variation in health care.
Are all our sick patients the same? Is every congestive
heart failure patient the same as every other congestive
heart failure patient? Is every AV malformation the
same as every other AV malformation? You know the
answer is a resounding no. We have clinical variability.
We have flow variability. We have variability in our
processes. We have variability in how people work.
Each of these sources of variation is additive. They do
not cancel out each other; they add up.

A telephone helpline is a queuing system. Here is an
interesting example of the challenges we face: Let’s
say, that on average, a call to this helpline lasts two
minutes. The calls are answered by one full-time
person, or a single-server queue. Can the system
handle 30 calls an hour without putting people on
hold?

With high variability and 25 calls per hour, we have
two to three people on hold.
But if there are 29 calls in an hour (high volume) and
high variability, we end up with 18 people on hold.
It is the variation that wreaks havoc with your
systems, your service, and your people.
That is one of several reasons why the sweet spot
for patient flow is not 100% utilization. Because of
variability, we need a slack to handle that variation.

|7
Look at the variation in health care patients, processes,
and service delivery and think about what that does
to your systems. Some of the key leverage points are:
focus on operational efficiency, prioritize available
resources, flexed responses, flexible scheduling, predict
demand, smooth demand, and improve the accuracy
of your predictions.

The Appreciation of a System
This is articulated in Deming’s system of profound
knowledge. There are four components to Deming’s
system of profound knowledge:
	1.	 Appreciation of a system;
	2.	 Knowledge of variation;

You can’t have every part of the system busy all of
the time and have a system that’s optimized and
performing perfectly. Some components of the system
need sufficient slack to take up some of the work and
variation of the other parts of the system. You cannot
have every part of the system functioning at 100%
utilization or capacity if you want flow through the
system to be maximized.
The larger the system, the harder it is to optimize but
the greater the total benefits. While it may be difficult
to improve emergency department patient flow, it
may be much harder to improve hospital-wide patient
flow. It is a challenge to improve flow through the
OR, but it may be even more difficult to improve flow
throughout the entire system.

	3.	 Theory of knowledge; and
	4.	 Knowledge of psychology.

In Summary

A system must have an aim. Without aim, there is
no system. The aim of the system must be clear to
everyone in the system. You have to decide what the
aim of your system is. Otherwise, you will have good
people working under significantly different priorities.
For some people, it’s patient safety. For others, it’s
patient satisfaction. For some, it’s patient flow. It
could also be workforce satisfaction or controlling
costs. You must look at patient flow and operations
through a global lens to optimize the entire system.

The key strategic concepts that you need to have a
working understanding and appreciation for are:
demand-capacity management, real-time monitoring
of patient flow, forecasting, queuing theory, the theory
of constraints, managing variation, and appreciation
of a system.

You cannot optimize a system by optimizing each
part of the system.

	8 |

“Genius is 1 percent inspiration and 99%
perspiration.” – Thomas Edison
The work may be hard, but the results are gratifying.
The number one reason to get this right is that it is
good for your patients and it is good for your people
who take care of your patients.
KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW

About the Author
Kirk B. Jensen, MD, MBA, FACEP, is Chief Medical Officer for
BestPractices, Inc., a leading emergency physician staffing and practice
management group. He has spent over 20 years in Emergency Medicine
management and clinical care and is directly responsible for the coaching,
mentoring, and career development of BestPractices’ Medical Directors.

Kirk B. Jensen,
MD, MBA, FACEP,

Dr. Jensen is a faculty member for the Institute for Healthcare
Improvement (IHI) and has held numerous leadership positions with IHI
focusing on quality improvement, patient satisfaction, and patient flow
both within the ED and throughout the hospital. Dr. Jensen also serves as
a Medical Director for Studer Group. He was honored by the American
College of Emergency Physicians as the 2010-2011 Outstanding Speaker
of the Year.

Copyright © 2011 BestPractices Inc.
All rights reserved. This publication may not be reproduced, stored in a retrieval system,
or transmitted in any form or by any means – electronic, mechanical, photocopying,
recording, or otherwise – without prior permission of the copyright owner.
This White Paper is an informational document. Readers should note that this
document does not represent an endorsement by any entity. All page headers and
custom graphics are service marks, trademarks, and/or trade dress of BestPractices, Inc.
All other trademarks, product names, and company names or logos cited herein are the
property of their respective owners.
Any comments relating to the material contained in this document may be sent to the
BestPractices Marketing Department:

	

Email:	info@best-practices.com

	Mail:	 BestPractices, Inc.
Marketing Director
10306 Eaton Place, Suite 180
Fairfax, VA 22030

|9
Contact
10306 Eaton Place
Suite 180
Fairfax, VA 22030
(800) 910-3796
info@best-practices.com
www.best-practices.com

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Key Strategies for Improving Hospital Flow

  • 1. WHITE PAPER Key Strategies for Improving Hospital Flow BY: Kirk B. Jensen, MD, MBA, FACEP Content The ED is a part of a hospital-wide system of patient flow Every system produces the results it is designed to produce Key strategic concepts to improve patient flow You cannot optimize a system by optimizing just one part of the system
  • 3. KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW Introduction................................................................................................................................................. 2 Every System Is Designed to Produce the Results It Produces....................................................................... 3 Demand-Capacity Management................................................................................................................... 3 Real-Time Monitoring of Patient Flow......................................................................................................... 4 Forecasting................................................................................................................................................... 4 Queuing Theory........................................................................................................................................... 5 The Theory of Constraints............................................................................................................................ 6 Managing Variation...................................................................................................................................... 7 The Appreciation of a System....................................................................................................................... 8 In Summary................................................................................................................................................. 8 About the Author......................................................................................................................................... 9 Contact..................................................................................................................................................... 10
  • 4. INTRODUCTION We are all engaged in a hospital-wide a system of patient flow or patient care. We are each part of the whole. The emergency department is connected to the ICU. The ICU is connected to the OR. The discharge and discharge processes are connected to our admission capabilities and capacity. It’s like the “Dry Bones” song you learned as a child, “The foot bone’s connected to the leg bone, the leg bone’s connected to the knee bone, the knee bone’s connected to the thigh bone” and so forth. Overall flow, or “the system,” can only be improved by applying several key strategic concepts to these disparate but equal parts. 2 |
  • 5. KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW Back at that time when I was training, I was an idealistic emergency physician managing an inner city ER in downtown Los Angeles serving the poor. I stumbled across an article written by Don Berwick that said “every system is perfectly designed to produce the results it produces.” It changed my life. (Berwick MD, Donald M, Continuous Improvement as an Ideal in Health Care, NEJM, January 5th, 1989, p50). I started looking at the ER as a set of processes, as a system, with inputs, throughputs, and outputs. I had to change those processes if I wanted different results or outputs, because they were often “perfectly designed to produce” some of the very results that neither I, my co-workers, nor my patients liked. As Thomas Edison has pointed out, “Discontent is the first necessity of progress.” So the question became: Are waits and delays inevitable? We think the answer is no. There are several key strategic concepts which can be applied to improve patient flow: • • • • • • • Demand-capacity management; Real-time monitoring of patient flow; Forecasting service and service demand; A basic understanding of queuing theory; The theory of constraints; Managing variation; and Appreciation of a system. Demand-Capacity Management What should capacity look like to guarantee quality care? Here’s a profile of demand and capacity. NUMBER OF PATIENTS Every System Is Designed to Produce the Results It Produces TIME The horizontal axis is time and the vertical axis is the actual number of emergency department patient by hour. In the ED this often seems totally unpredictable, however, if you look closely, you will notice there is lot of white space above and below the graph and a line drawn through the middle of the curve begins to approximate predicted demand by hour of the day or day of the week. How do we match demand and capacity? You need to predict demand based upon your historical data. You need to match your service capacity to your patient demand. You need daily patient flow predictions by hour of the day and plans to service those predictions. You also need to implement a real-time dashboard for key operational cycle times and then measure, monitor, and service those cycle times. You need to do this while respecting the desires, concerns, and goals of your people, of your team. Demand-capacity management is critical. We cannot plan on or even hope for our capacity routinely meeting our demand without planning, foresight, and action. |3
  • 6. Real-Time Monitoring of Patient Flow All by setting up a system where units could grade how busy they were, put a temporary halt to new admissions while they managed the patients they had, McDonald’s does it. They have cameras they nicknamed “Hyperactive Bob” that monitor incoming customer traffic. They use software to predict what the “soccer mom in the van with three kids” is going to order. They can get five to ten minutes upstream on predicting what their demand is going to be. McDonald’s reduced their waiting time and cut waste in half using this process. monitor hospital-wide patient flow, and disseminate this information in real-time to all of the key departments and personnel. Now imagine a busy freeway. It’s a dark Friday night and you’re driving 75 miles an hour on this busy freeway. Now, turn off the dashboard and headlights. How long do you think you could stand it? How long could you maintain your sense of safety and mastery? This is what we do every day in our hospitals; we show up, our real-time dashboard is not available, our headlights are turned off, and then we brag about how well we can manage the chaos. There is a better way. You need an inpatient flow dashboard. It can be grease board, pen, or electronic, but you need some way of monitoring flow in real time. Forecasting Do you look at the weather forecast before you leave home? Forecasting plays a significant role in your life on a daily basis and ought to play a significant role in your life within the hospital. You can predict patient flow. You can predict unscheduled arrivals with about 80 to 85% accuracy. You don’t know their names but you do or should know who’s coming, what’s coming, why they are coming, and what set of resources they’ll need. How many Friday nights does it take before you decide your next Friday night is going to be different? How many flu seasons does it take before you decide your next flu season’s going to be different? Patient flow is predictable. Here’s what happened at Luther Middlefort Hospital once they introduced a hospital-wide intranet dashboard and a system for capping patient flow to units that were overwhelmed: • Increased patient throughput, resulting in increased revenue of about $200,000 per month; • Increased the percentage of patients who were put into bed within one hour from 23% to 40%; • Reduced ED diversions from 12% to 1 to 2%; and • Decreased the overall number of open nursing positions from about 10% to 1%. 4 | 0:00 1 :00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 1 0:00 1 1 :00 1 2:00 1 3:00 1 4:00 1 5:00 1 6:00 1 7:00 1 8:00 1 9:00 20:00 21 :00 22:00 23:00 FY2004 Q-1 1 54 1 49 1 20 81 83 79 99 1 53 1 66 269 253 277 235 260 274 268 294 307 332 352 345 299 278 21 1 FY2005 Q-1 1 60 119 1 07 83 71 76 85 1 06 1 56 208 226 230 260 243 260 260 304 286 302 333 287 270 260 1 98 This emergency department patient flow graph charts arrivals, patient volume, and arrival by hour of the day.
  • 7. KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW This is your emergency department. This could actually be any emergency department in the United States. The actual number of patients per hour may vary but the curve is the same. Here’s a queuing model in action in a MICU: The key questions are: • • • • How many patients are coming? When are they coming? What are they going to need? Is our service capacity going to match patient demand? Queuing Theory Queuing theory is the art and science of matching fixed resources to unscheduled demand. You are engaged in a queuing model any time you are in a system with unscheduled or uncontrolled arrivals. Whether you’re in a line waiting to register, at Starbucks awaiting your coffee, at McDonald’s to order a burger, or serving patients in the ER, that is a queuing system. Facts about queuing systems: • Systems that are serving unscheduled or uncontrolled arrivals behave in a characteristic fashion. • When patient inflow and service times are random, the response to increasing utilization is nonlinear. • As utilization rises above 80 to 85%, waits and rejections increase exponentially. The great thing is that at high levels of utilization, small changes can lead to big improvements. The horizontal axis is the utilization percentage. At 0%, the MICU is totally empty. At 100%, every bed is full. The vertical axis is the rejection rate. If the MICU is totally empty, the odds of you being rejected for a requested bed are zero. If the MICU is totally full, the odds of rejection are close to 100%. Notice the shape of the curve. As you get to 60% utilization, it starts to take off. You will note this is not a linear curve. It rises steeply and the sweet spot is probably about 80 to 85%. Operating at 100% capacity or occupancy, in a system with unscheduled arrivals and/or variation in service times, is absolutely the wrong way to go. There is simply no way you can run a queuing system at 100% utilization. You want to be at about 80 to 85%. In unit after unit where they have been able to drop down to 80 to 85, or even 90% utilization, hospitals are better able to handle the inflows and the variation. As a result, throughput goes up, profits go up, and healthcare worker satisfaction goes up. |5
  • 8. The Theory of Constraints The Theory of Constraints was articulated by Eli Goldratt. His novel is called The Goal. It’s a quick read. It’s about a guy who is trying to save his job and his marriage. He is trying to save his relationship with his son, and he does it through the understanding and application of the theory of constraints. After reading this, you will never ever walk into an ER or a hospital without thinking about the theory of constraints. satisfaction went up, but were disappointed to learn that throughput cycle time, their most important objective, did not change. Does that mean that an admission nurse is a bad idea? Absolutely not. What it means is that in this particular hospital, the functions of the admission nurse were not a critical bottleneck to the flow or process of getting the admitted patient to an inpatient unit. What the hospital should have done was map out their process flow, look at the cycle times, and then experiment with an admission nurse to see if it reduced the process times. Not only does the theory of constraints allow you to understand how a system works, but it also helps you identify which bottlenecks are irritants and which bottlenecks are essential to the critical path. The key principles: • Patient care is a network of queues and service transitions. • An hour lost at a bottleneck is an hour lost for the whole system. • Time saved at a non-bottleneck is a mirage. • Efforts spent improving a non-critical bottleneck will not improve the overall performance of your process or system. Here’s one example: A hospital was trying to reduce the cycle time for admitting patients from the ER to upstairs. They thought hiring an admission nurse would be the solution. They hired four people and deployed a full-time admission nurse. They pleasantly discovered that patient satisfaction, nursing satisfaction, and emergency physician 6 | Efforts spent improving a non-critical bottleneck will not improve the overall performance of your system. To make matters even more complex, bottlenecks can jump around. For a certain period of time, the bottleneck may be a bed. For another period of time, it may be lab. For another period of time, it may be the discharge process. Another example. One hospital found that getting patients out of the PACU was a problem. Patients were delayed in the PACU, potentially backing up the OR. Through further investigation, they discovered that all orthopedic patients leave on an anticoagulation regimen. The true bottleneck was actually getting medication delivered on the day of discharge.
  • 9. AVERAGE NUMBER OF PEOPLE ON HOLD 20 18 16 14 12 10 8 6 4 2 0 Calls / hr = 29 NOTE: - Average Call lasts 2 minutes. - Calls are answered by one person full time Calls / hr = 28 Calls / hr = 27 Calls / hr = 25 LOW MEDIUM HIGH VARIATION OF CALL LENGTH Now you are confronted with several possibilities. One – you can wait to try to speed things up the day of discharge. Two – you can try to speed things up the day before discharge. Or three – you can get the pharmacy to deliver the meds on post-op day one. They had a just-in-time delivery system that wasn’t just in time. Patients need this medicine when they’re discharged. This was prolonging discharge, sometimes by a whole day. This was a key or critical constraint. The solution was to move delivery up to day one. After analysis, rapid-cycle testing and andingprototype the improved outcome was 43 out of 43 patients received medication on post-op day one with a simple process change. If we have 25 calls per hour with low variability, almost nobody ends up on hold. Managing Variation There are multiple sources of variation in health care. Are all our sick patients the same? Is every congestive heart failure patient the same as every other congestive heart failure patient? Is every AV malformation the same as every other AV malformation? You know the answer is a resounding no. We have clinical variability. We have flow variability. We have variability in our processes. We have variability in how people work. Each of these sources of variation is additive. They do not cancel out each other; they add up. A telephone helpline is a queuing system. Here is an interesting example of the challenges we face: Let’s say, that on average, a call to this helpline lasts two minutes. The calls are answered by one full-time person, or a single-server queue. Can the system handle 30 calls an hour without putting people on hold? With high variability and 25 calls per hour, we have two to three people on hold. But if there are 29 calls in an hour (high volume) and high variability, we end up with 18 people on hold. It is the variation that wreaks havoc with your systems, your service, and your people. That is one of several reasons why the sweet spot for patient flow is not 100% utilization. Because of variability, we need a slack to handle that variation. |7
  • 10. Look at the variation in health care patients, processes, and service delivery and think about what that does to your systems. Some of the key leverage points are: focus on operational efficiency, prioritize available resources, flexed responses, flexible scheduling, predict demand, smooth demand, and improve the accuracy of your predictions. The Appreciation of a System This is articulated in Deming’s system of profound knowledge. There are four components to Deming’s system of profound knowledge: 1. Appreciation of a system; 2. Knowledge of variation; You can’t have every part of the system busy all of the time and have a system that’s optimized and performing perfectly. Some components of the system need sufficient slack to take up some of the work and variation of the other parts of the system. You cannot have every part of the system functioning at 100% utilization or capacity if you want flow through the system to be maximized. The larger the system, the harder it is to optimize but the greater the total benefits. While it may be difficult to improve emergency department patient flow, it may be much harder to improve hospital-wide patient flow. It is a challenge to improve flow through the OR, but it may be even more difficult to improve flow throughout the entire system. 3. Theory of knowledge; and 4. Knowledge of psychology. In Summary A system must have an aim. Without aim, there is no system. The aim of the system must be clear to everyone in the system. You have to decide what the aim of your system is. Otherwise, you will have good people working under significantly different priorities. For some people, it’s patient safety. For others, it’s patient satisfaction. For some, it’s patient flow. It could also be workforce satisfaction or controlling costs. You must look at patient flow and operations through a global lens to optimize the entire system. The key strategic concepts that you need to have a working understanding and appreciation for are: demand-capacity management, real-time monitoring of patient flow, forecasting, queuing theory, the theory of constraints, managing variation, and appreciation of a system. You cannot optimize a system by optimizing each part of the system. 8 | “Genius is 1 percent inspiration and 99% perspiration.” – Thomas Edison The work may be hard, but the results are gratifying. The number one reason to get this right is that it is good for your patients and it is good for your people who take care of your patients.
  • 11. KEY STRATEGIES FOR IMPROVING HOSPITAL FLOW About the Author Kirk B. Jensen, MD, MBA, FACEP, is Chief Medical Officer for BestPractices, Inc., a leading emergency physician staffing and practice management group. He has spent over 20 years in Emergency Medicine management and clinical care and is directly responsible for the coaching, mentoring, and career development of BestPractices’ Medical Directors. Kirk B. Jensen, MD, MBA, FACEP, Dr. Jensen is a faculty member for the Institute for Healthcare Improvement (IHI) and has held numerous leadership positions with IHI focusing on quality improvement, patient satisfaction, and patient flow both within the ED and throughout the hospital. Dr. Jensen also serves as a Medical Director for Studer Group. He was honored by the American College of Emergency Physicians as the 2010-2011 Outstanding Speaker of the Year. Copyright © 2011 BestPractices Inc. All rights reserved. This publication may not be reproduced, stored in a retrieval system, or transmitted in any form or by any means – electronic, mechanical, photocopying, recording, or otherwise – without prior permission of the copyright owner. This White Paper is an informational document. Readers should note that this document does not represent an endorsement by any entity. All page headers and custom graphics are service marks, trademarks, and/or trade dress of BestPractices, Inc. All other trademarks, product names, and company names or logos cited herein are the property of their respective owners. Any comments relating to the material contained in this document may be sent to the BestPractices Marketing Department: Email: info@best-practices.com Mail: BestPractices, Inc. Marketing Director 10306 Eaton Place, Suite 180 Fairfax, VA 22030 |9
  • 12. Contact 10306 Eaton Place Suite 180 Fairfax, VA 22030 (800) 910-3796 info@best-practices.com www.best-practices.com