demand and capacity management - nhs england...demand which has not been dealt with - manifests as a...
TRANSCRIPT
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Demand and
Capacity
Management
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What is your experience? Do you
have a capacity and demand
problem? What sort of problem?
Please type briefly into the chat box.
The box is below where it says ‘All
participants’ at the bottom right of your
screen.
Chat time
2
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Some definitions…
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Measuring demand
Demand on the service:
All the requests or referrals from all sources into a service
How to measure:
All patients needing a service x
time taken to process
Example:
5 patients referred for an endoscopic procedure
that takes 45 minutes to complete
5 x 45 = 225 minutes (3 hours 45 minutes)
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Measuring capacity
Capacity is all of the resources required to do the work and
includes equipment, rooms and the people with the necessary
skills to use it.
How to measure:
Number of resources available x
staff time available to run resources
Example:
Two treatment machines with 480 minutes
of session time
2 x 480= 960 minutes (16 hrs per day)
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Measuring activity
It is the actual work done, the throughput of the system.
How to measure:
Number of patients seen x
time taken to process a patient
Example:
100 patients processed x 20 minutes each
100 x 20 = 2000 minutes
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Measuring backlog
Backlog:
Demand which has not been dealt with - manifests as a queue or waiting list. Forms whenever demand exceeds activity or when demand and capacity are mismatched
How to measure backlog;
Number of patients in the queue x
time taken to process them
Example:
100 patients waiting x 20 minutes per treatment
100 x 20 = 2000 minutes backlog.
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Key message
Measure everything in the same units for the same period
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How do they fit together?
Demand:
All the requests
for a service –
from all sources
Capacity:
All that we can
do
Bottleneck:
Constraint is the
cause of the
bottleneckActivity:
What we actually
did
Backlog =
Queue =
Waiting List
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A bottleneck is where the queues form - it will slow down the whole process
Two types of bottleneck:
• Process• Functional
Bottlenecks
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Process bottleneck
Process bottlenecks are the process stage that takes longest to complete. Sometimes referred to as ‘rate limiting’ step or task
Which step or task is the bottleneck?
Step or task
Tim
e
1 2 3 4
Process
bottleneck
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Functional
bottleneck
Functional bottleneck
Functional bottlenecks caused by services that have demand from a number of sources e.g. radiology, pathology, porters
Process 1
Process 2
Process 3
Process 2 continues
Process 3 continues
Process 1 continues
Functional
bottleneck
interrupts flow of
patients in all
three processes
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Constraints
Bottlenecks caused by a constraintThis restricts the capacity (flow) of the serviceIt may be a particular skill or piece of equipment
Constraint examples:• Number of treatment rooms • Specialist skills i.e. surgeon, radiologist• Decontamination washer/machine• Theatres• CT scanner• Phlebotomist
How to deal with them:Maximise utilisation of constraint - as not easily increased?Examples from the group?
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6 Common
reactions to dealing
with queues
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Waiting list initiatives
Waiting list numbers
52 weeks from Jan to Jan
Luton and Dunstable NHS Trust
Initiative
Was the reduction sustained?
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High Utilisation
Utilisation is a measure of how much capacity is used.
Services often aim for 100% however these services are set up to fail as
the pressure to fully utilise resources will lower staff morale and trigger
adverse changes in behaviour.
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Force booking
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Backlog =
Queue =
Waiting list
Churn - based on urgency
Patients who are not seen in
date order and do not chase
their appointment have longer
and longer waits
“Churning the waiting list and
skimming off the froth”
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Ignore variationVariation mismatch = queue
Dem
and
Time
Queue
Time
Cannot pass unused
capacity forward
Capacity
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Carve out
Specialists Surgeon Physician R
Appointment type 1 2 3 4 1 2 3 4 5
Flexi Sig Urgent
Soon
Routine
Colonoscopy Urgent
Soon
Routine
OGD Urgent
Soon
Routine
ERCP --
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Backlogs form because….
1. There are mismatches in capacity and demand
-caused by variation and exacerbated by initiatives
2. We see people out of turn
-churn and force booking
3. We batch patients
-to keep us busy and give high utilisation
4. We ring fence capacity
-to protect time for urgent patients
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What is your experience? Which
of these common reactions have
you seen or been responsible for?
Please type briefly into the chat box.
The box is below where it says ‘All
participants’ at the bottom right of your
screen.
Chat time
21
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What can we do
differently?
7 ways to no delays
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Seven Ways to No Delays
1. Balance capacity and demand
2. Focus on the whole patient journey
3. Plan ahead along all stages of a patient’s pathway
4. Pool similar work together and share staff resources
5. Keep things moving - see and treat patients in order
(consider clinical priority)
6. Reduce things that do not add value to patients
7. Keep the flow - reduce unnecessary waits
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1. Balance
capacity and demand
There are two key strategies:
• Look for ways of gaining capacity or flexing capacity
– Role redesign, reduce lost time
• Look for ways of reducing the variation in demand
– Divert the peaks, reduce the peaks
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6 common
reactions:
Mismatched
capacity and demand
Setting capacity (theoretical) at 80% of
the variation in demand will allow for
flexibility in the demand
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Role redesign
An advanced practitioner role in radiology was
introduced and reduced waiting times
City Hospitals Sunderland NHS Trust Barium Enema Waiting List January - June (18 months)
0
2
4
6
8
10
12
14
16
18
20
Feb Mar Apr May Jun Jul- Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
Month
Wait
ing
Tim
e i
n W
ee
ks
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2. Focus on the whole
patient journey
The efficiency of the whole patient journey is more
important than the individual teams’ efficiencies.
Taking steps to reduce waiting times in one part of the
hospital service often highlights something else that
prevents further improvement.
6 common
reactions:
High utilisation
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A&E
X-RayHaem
Pharm
Transport
Managing constraints
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Area with least capacity is the bottleneck
This constrains the entire end-to-end process – think
“thumb on hosepipe!”
Managing constraints
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A&E
Improvement
Activity
Tackle the bottleneck – Widen the highway
Managing constraints
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What next? - continue in A&E?
Increases overall flow?
But constrained by the next bottleneck…
remember – the new bottleneck could be an earlier process…
A&E
Managing constraints
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Step 5 - Tackle the “new” bottleneck
Pharm
Improvement
Activity
Managing constraints
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Example
After extensive and detailed further improvement work in
ultrasound, the service improvement lead stated:
“without improving transport we can go no further to
improve ultrasound services.”
As a result the hospital decided to review portering
services.
Theory of constraintsIntroduced by Eli Goldratt in “The Goal” 1984
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3. Plan ahead: along all stages
in a patient’s journey
“If everyone knows what’s going on, it’s easier to stay on track.”
6 common
reactions:
Waiting list initiatives
Example: The enhanced recovery programme
• Plan developed in pre-operative assessment tells patients what to expect
• Patients whose recovery doesn’t go to plan stand out and have more focus
Result: reduced readmissions and length of stay down from 12.6 days to 6.0 days.
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4. Pool similar work
together and share staff
resources
Pool the work of consultants, clinicians, technicians and administrative staff where there is common and equivalent work
6 common
reactions:
Carve out
0
2040
6080
100120
140
Nov Dec Jan Feb Mar Apr May Jun Jul Aug
Referrals to 5 named consultants
Pooled referrals
Ovarian cancer pathway (days – referral to treatment):
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5. See and treat patients
in order
Scarborough Hospital
Patients treated by a single consultant –
Transurethral Resection of Prostate (TURP).
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Patients
seen in
order
6 common
reactions:
Force book & churn
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6. Reduce things that do
not add value to patients
A lot of our work adds value to patients: right referral, right diagnostic tests, right diagnosis, right information and communication, right advice, right treatment, right aftercare and right handover.
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7. Keep the flow – reduce unnecessary waitsEvery decision every: Month toWeekto2 DaystoDaytoHour
1 | 29 June 2009 | Batch Size
Time
Inventory
Average Inventory –
Smaller Batches, more frequent
changeovers
Average Inventory –
Large Batches, less
frequent
changeovers
Effect of reducing batch size.
Average number of patients waiting with weekly decision
making
Average number of patients waiting with daily decision
making
The availability/timeliness of decision making has directly impacts the number of patients in hospital
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Creating a capacity
model
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The 5 step guide to estimating required
capacity
1Estimate demand
2Convert to time
3bChart the trend
Show the variation in
demand over time
3aDescribe the trends
Calculate the average
and a measure of
variation
4Derive session capacity
Use the measure of
variation to estimate
capacity required
5Convert to facility
Using number of
sessions per week
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Calculate the typical weekly
variation
Mr X Net clinic hours
Weekly totals from Trust Net clinic hours
LTHT
0
1
2
3
4
5
6
7
8
05 A
pr
04
05 M
ay 0
4
05 J
un 0
4
05 J
ul 0
4
05 A
ug 0
4
05 S
ep 0
4
05 O
ct 04
05 N
ov 0
4
05 D
ec 0
4
05 J
an 0
5
05 F
eb 0
5
05 M
ar
05
Mr X Net clinic hours Average (3.0)
Low er limit (0.0) Upper limit (7.1)
1Average demand
Dotted orange line
2Upper and
lower limits to
demand
2Upper and
lower limits to
demand
Red lines
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Set capacity - options
Mr X Net clinic hours
Weekly totals from Trust Net clinic hours
LTHT
0
1
2
3
4
5
6
7
805 A
pr
04
05 M
ay 0
4
05 J
un 0
4
05 J
ul 0
4
05 A
ug 0
4
05 S
ep 0
4
05 O
ct 04
05 N
ov 0
4
05 D
ec 0
4
05 J
an 0
5
05 F
eb 0
5
05 M
ar
05
Mr X Net clinic hours Average (3.0) Low er limit (0.0)
Upper limit (7.1) Capacity req'd (4)
1Average demand
High utilisation and
volatile waits
2Sprint
capacity
Lower
utilisation and
stable waits
3Immediate
response
Low utilisation
and no waits
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Any questions ?
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