Version: 1.1 Dated: 04/10/2012 20,000 Days Campaign Dashboard September 2012 Campaign Manager :...
6
Version: 1.1 Dated: 04/10/2012 20,000 Days Campaign Dashboard September 2012 Campaign Manager : Diana Dowdle Clinical Leader: David Gra Improvement Advisor: Ian Hutchby & Prem Contacts Comments: Cumulative bed day saving as at 30 th September is 7433 Comments: The graph shows the difference between the Predicted and actual cumulative bed days. Comments: There were 7 Dot Days in September – 3 rd , 4 th , 12 th , 13 th , 14 th , 25 th , 26 th Admissions are stable and only normal variation exists. Comments: Unplanned readmissions is stable and only normal variation ex Dashboard Summary: Cumulative bed day saving of 7433 is a reflection of the difference between actual bed day usage and the predicted growth. This is reflection of the system as whole. With the exception of occupancy which is showing a change in growth all other measures are stable and exhibiting normal variation. Comments: ALOS is stable and only normal variation exists. Comments: EC Presentations are growing but stable and only normal variation exists Comments: Occupancy is showing special cause variation since September 2011, the data reflects a potential change from a previous pattern of growth to no growth. Cum ulative B ed D ays Saved Since June 2011 -2,000 - 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000 Jun-11 Aug-11 Oct-11 D ec-11 Feb-12 Apr-12 Jun-12 Aug-12 Oct-12 D ec-12 Feb-13 A pr-13 Jun-13 Actual vsPredicted Bed Days 140,000 142,000 144,000 146,000 148,000 150,000 152,000 154,000 156,000 158,000 160,000 162,000 164,000 166,000 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 Feb-12 M ar-12 Apr-12 M ay-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 M ay-13 Total Bed day utilisation overa rolling 12 m onth period Actual bedday cum ulative total Predicted bedday cum ulative total D ays betw een D otD ays 0 50 100 150 200 250 300 29/06/2009 21/04/2010 21/07/2010 04/08/2010 16/11/2010 08/02/2011 01/03/2011 25/05/2011 31/05/2011 13/06/2011 20/06/2011 28/06/2011 15/08/2011 27/02/2012 03/04/2012 05/07/2012 10/07/2012 18/07/2012 24/07/2012 04/09/2012 13/09/2012 25/09/2012 04/10/2012 D ate ofD otD ay D ays bew teen D otD ays C L = 12 LC L = 0 U C L = 178 Adm issions U C L =105.4 C L = 96.0 LC L = 86.7 80 90 100 110 Jul 2009 Sep 2009 N ov 2009 Jan 2010 M ar2010 M ay 2010 Jul 2010 Sep 2010 N ov 2010 Jan 2011 M ar2011 M ay 2011 Jul 2011 Sep 2011 N ov 2011 Jan 2012 M ar2012 M ay 2012 Jul 2012 Sep 2012 N ov 2012 A verage D aily A dm issions O ccupancy UCL CL LC L 10000 10500 11000 11500 12000 12500 13000 13500 14000 14500 Jul 2009 O ct2009 Jan 2010 Apr2010 Jul 2010 O ct2010 Jan 2011 Apr2011 Jul 2011 O ct2011 Jan 2012 Apr2012 Jul 2012 O ct2012 TotalM onthly B ed D ays O ccupied A verage Length ofStay U C L = 4.72 C L = 4.14 LC L = 3.57 3.40 3.60 3.80 4.00 4.20 4.40 4.60 4.80 5.00 Jul 2009 Sep 2009 N ov 2009 Jan 2010 M ar2010 M ay 2010 Jul 2010 Sep 2010 N ov 2010 Jan 2011 M ar2011 M ay 2011 Jul 2011 Sep 2011 N ov 2011 Jan 2012 M ar2012 M ay 2012 Jul 2012 Sep 2012 N ov 2012 ALOS EC P resentations-G row th UCL CL LC L 6200 6700 7200 7700 8200 8700 9200 9700 10200 Jul 2009 S ep 2009 N ov 2009 Jan 2010 M ar2010 M ay 2010 Jul 2010 S ep 2010 N ov 2010 Jan 2011 M ar2011 M ay 2011 Jul 2011 S ep 2011 N ov 2011 Jan 2012 M ar2012 M ay 2012 Jul2012 Sep 2012 N ov 2012 TotalM onthly Presentations R eadm ission rate 5.0% C L = 6.2% U C L = 3.8% LC L = 3% 4% 5% 6% 7% Jul 2009 Sep 2009 N ov 2009 Jan 2010 M ar2010 M ay 2010 Jul 2010 S ep 2010 N ov 2010 Jan 2011 M ar2011 M ay 2011 Jul 2011 Sep 2011 N ov 2011 Jan 2012 M ar2012 M ay 2012 Jul 2012 Sep 2012 N ov 2012 R eadm ission R ate
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Transcript of Version: 1.1 Dated: 04/10/2012 20,000 Days Campaign Dashboard September 2012 Campaign Manager :...
Version: 1.1Dated: 04/10/2012
20,000 Days Campaign Dashboard
September 2012
Campaign Manager : Diana DowdleClinical Leader: David GraysonImprovement Advisor: Ian Hutchby & Prem Kumar
Contacts
Comments: Cumulative bed day saving as at 30th September is 7433 Comments: The graph shows the difference between the Predicted and actual cumulative bed days.
Comments: There were 7 Dot Days in September – 3rd, 4th, 12th, 13th, 14th, 25th, 26th
Comments: Admissions are stable and only normal variation exists. Comments: Unplanned readmissions is stable and only normal variation exists
Dashboard Summary: Cumulative bed day saving of 7433 is a reflection of the difference between actual bed day usage and the predicted growth. This is reflection of the system as whole.
With the exception of occupancy which is showing a change in growth all other measures are stable and exhibiting normal variation.
Comments: ALOS is stable and only normal variation exists. Comments: EC Presentations are growing but stable and only normal variation existsComments: Occupancy is showing special cause variation since September 2011, the data reflects a potential change from a previous pattern of growth to no growth.
Cumulative Bed Days Saved Since June 2011
-2,000
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Jun-
11
Aug
-11
Oct
-11
Dec
-11
Feb
-12
Apr
-12
Jun-
12
Aug
-12
Oct
-12
Dec
-12
Feb
-13
Apr
-13
Jun-
13
Actual vs Predicted Bed Days
140,000
142,000
144,000
146,000
148,000
150,000
152,000
154,000
156,000
158,000
160,000
162,000
164,000
166,000
Jun-
11
Jul-1
1
Aug-
11
Sep-
11
Oct
-11
Nov
-11
Dec
-11
Jan-
12
Feb-
12
Mar
-12
Apr-
12
May
-12
Jun-
12
Jul-1
2
Aug-
12
Sep-
12
Oct
-12
Nov
-12
Dec
-12
Jan-
13
Feb-
13
Mar
-13
Apr-
13
May
-13
Tota
l Bed
day
util
isati
on o
ver a
rolli
ng 1
2 m
onth
per
iod
Actual bedday cumulative total Predicted bedday cumulative total
Days between Dot Days
0
50
100
150
200
250
300
29/0
6/20
09
21/0
4/20
10
21/0
7/20
10
04/0
8/20
10
16/1
1/20
10
08/0
2/20
11
01/0
3/20
11
25/0
5/20
11
31/0
5/20
11
13/0
6/20
11
20/0
6/20
11
28/0
6/20
11
15/0
8/20
11
27/0
2/20
12
03/0
4/20
12
05/0
7/20
12
10/0
7/20
12
18/0
7/20
12
24/0
7/20
12
04/0
9/20
12
13/0
9/20
12
25/0
9/20
12
04/1
0/20
12
Date of Dot Day
Da
ys
be
wte
en
Do
t D
ay
s
CL = 12
LCL = 0
UCL = 178
Admissions
UCL =105.4
CL = 96.0
LCL = 86.7
80
90
100
110
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Occupancy
UCL
CL
LCL
10000
10500
11000
11500
12000
12500
13000
13500
14000
14500
Jul 2
009
Oct
200
9
Jan
2010
Apr
201
0
Jul 2
010
Oct
201
0
Jan
2011
Apr
201
1
Jul 2
011
Oct
201
1
Jan
2012
Apr
201
2
Jul 2
012
Oct
201
2To
tal
Mo
nth
ly B
ed D
ays
Occ
up
ied
Average Length of Stay
UCL = 4.72
CL = 4.14
LCL = 3.57
3.40
3.60
3.80
4.00
4.20
4.40
4.60
4.80
5.00
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
AL
OS
EC Presentations-Growth
UCL
CL
LCL
6200
6700
7200
7700
8200
8700
9200
9700
10200
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
To
tal M
on
thly
Pre
sen
tati
on
s
Readmission rate
5.0%CL =
6.2%UCL =
3.8%LCL =
3%
4%
5%
6%
7%
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Rea
dm
issi
on
Rat
e
Bed day Saving
Unplanned Re admission
Operational DefinitionBed Days: Actual patient time on bedSavings: Cumulative savings is the difference between the forecasted bed required and the actual bed used since June 2011.Savings can be a positive or negative figure.
Average Length of Stay (ALOS)
This graph shows the cumulative bed saving on a monthly basis.
CriteriaMiddlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae), Acute and Elective
This graph shows the readmission rate over a period of time.
Operational DefinitionRe-admission: An unplanned acute readmission to same speciality as discharged within 7 days
CriteriaMiddlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae), Data extracted based on Inpatient discharged location
Operational DefinitionLOS: Days between admission to discharge
Criteria Middlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae)
CriteriaMiddlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae)
This graph reflects the ALOS over a period of time.
Trigger /Dot Days
Admission
OccupancyEC Presentation
Bed day Predicted Vs Actual
20,000 Days
Campaign Dashboard Definitions
Operational DefinitionDot Days: A day is referred as “Dot Day” when Middlemore central send an email when the Hospital is full. Date of Dot Days: The actual date when the email was sent.
Operational DefinitionAdmission: Patient admitted to MMH wards for more than 3 hours from the 1st seen by time
This graph shows the admission of acute adult patient admitted to Middlemore over a period of time.
This Graph chart shows the days on which date the hospital was full and also the days between two Dot days. Hospital full days are also termed as Dot days. One of the aim is to minimise the Dot days and increase the time between Dot days. One of the contributing factor to achieve this is bed day saving
CriteriaAll emails sent by Middlemore central with a subject “Hospital full”
This graph represents the Average daily presentation to MMH emergency care.
CriteriaAll presentation to MMH Emergency departmentThis figures include adult and Paediatrics
Operational Definition
This graph reflects the total monthly occupancy of Surgical, Medical and Gyne specialty combined on a monthly basis
CriteriaMiddlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae). Occupancy includes: MSSU and Observation
Operational DefinitionOccupancy: Actual patient time on bedC.L in the graph represents Median
This graph shows the Actual bed day usage compared to the predicted usage. If the actual is less than predicated then we will have bed day gain.
Operational DefinitionBed Days: Actual patient time on bedPredicted bed day: Cumulative bed required calculated based on bed modellingCumulative: Previous 12 months of data from the current month
CriteriaMiddlemore, Age >-15 years, Surgical/Medical specialty (incl Gynae), Acute and Elective
UCL: Upper control Limit is automatically calculated by the software it selves.CL: Centre Line can also be called as Average. LCL: Upper control Limit is automatically calculated by the software it selves.
Note: The graphs will help us to detect Shifts, Trends and variations. The lines within control limits indicate that the data is stable and in Statistical control.
AdmissionsMonthly (Excluding EDDS) Daily (Excluding EDDS) Monthly (Including EDDS)
Overall
Medicine
Surgery
The monthly control charts all mask a much greater daily variation in the dataExcluding EDDS from the data has a greater impact on Medicine than surgery
Daily Admissions July 2012
UCL
CL
LCL
0
20
40
60
80
100
120
140
160
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
Act
ual
Dai
ly A
dm
issi
on
s
Admissions
UCL =105.4CL = 96.0LCL = 86.7
0
20
40
60
80
100
120
140
160
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Admissions
UCLCL LCL
0
10
20
30
40
50
60
70
80
90
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Daily Admissions July 2012
UCL
CL
LCL
0
10
20
30
40
50
60
70
80
90
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
Act
ual
Dai
ly A
dm
issi
on
s
Admissions
UCLCL LCL
0
10
20
30
40
50
60
70
80
90
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Admissions
UCL
CL
LCL
0
10
20
30
40
50
60
70
80
90
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Admissions
UCLCL LCL
0
10
20
30
40
50
60
70
80
90
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Ave
rag
e D
aily
Ad
mis
sio
ns
Daily Admissions July 2012
UCL
CL
LCL
0
10
20
30
40
50
60
70
80
90
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
Act
ual
Dai
ly A
dm
issi
on
s
Readmissions (? Do we need this drill down??)Monthly Daily
Overall
Medicine
Surgery
Daily Readmission Rate
CL 5.1%
UCL
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
01 O
ct
Date/Time/Period
Un
pla
nn
ed r
ead
mis
sio
n r
ate
Readmission rate
5.0%CL =
6.2%UCL =
3.8%LCL =
3%
4%
5%
6%
7%
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Rea
dm
issi
on
Rat
e
Daily Readmission Rate
CL 3.4%
UCL
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
01 O
ct
Date/Time/Period
Un
pla
nn
ed r
ead
mis
sio
n r
ate
Readmission rate
4.9%CL =
6.1%UCL =
3.7%LCL =
3%
4%
5%
6%
7%
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Rea
dm
issi
on
Rat
e
Daily Readmission Rate
CL 6.0%
UCL
0%
5%
10%
15%
20%
25%
01 S
ep
03 S
ep
05 S
ep
07 S
ep
09 S
ep
11 S
ep
13 S
ep
15 S
ep
17 S
ep
19 S
ep
21 S
ep
23 S
ep
25 S
ep
27 S
ep
29 S
ep
01 O
ct
Date/Time/Period
Un
pla
nn
ed r
ead
mis
sio
n r
ate
Readmission rate
5.0%CL =
6.2%UCL =
3.8%LCL =
3%
4%
5%
6%
7%
Jul 2
009
Sep
200
9
Nov
200
9
Jan
2010
Mar
201
0
May
201
0
Jul 2
010
Sep
201
0
Nov
201
0
Jan
2011
Mar
201
1
May
201
1
Jul 2
011
Sep
201
1
Nov
201
1
Jan
2012
Mar
201
2
May
201
2
Jul 2
012
Sep
201
2
Nov
201
2
Rea
dm
issi
on
Rat
e
Occupancy AMC
Ward 2 Ward 6 Ward 7
Ward 8 Ward 9 Ward 10
Ward 11
20
22
24
26
28
30
32
34
01/0
9/20
12
02/0
9/20
12
03/0
9/20
12
04/0
9/20
12
05/0
9/20
12
06/0
9/20
12
07/0
9/20
12
08/0
9/20
12
09/0
9/20
12
10/0
9/20
12
11/0
9/20
12
12/0
9/20
12
13/0
9/20
12
14/0
9/20
12
15/0
9/20
12
16/0
9/20
12
17/0
9/20
12
18/0
9/20
12
19/0
9/20
12
20/0
9/20
12
21/0
9/20
12
22/0
9/20
12
23/0
9/20
12
24/0
9/20
12
25/0
9/20
12
26/0
9/20
12
27/0
9/20
12
28/0
9/20
12
29/0
9/20
12
30/0
9/20
12
20
22
24
26
28
30
32
34
01/0
9/20
12
02/0
9/20
12
03/0
9/20
12
04/0
9/20
12
05/0
9/20
12
06/0
9/20
12
07/0
9/20
12
08/0
9/20
12
09/0
9/20
12
10/0
9/20
12
11/0
9/20
12
12/0
9/20
12
13/0
9/20
12
14/0
9/20
12
15/0
9/20
12
16/0
9/20
12
17/0
9/20
12
18/0
9/20
12
19/0
9/20
12
20/0
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Occupancy AMC
Ward 32N Ward 33E Ward 33N
Ward 34E Ward 34N Ward 35N
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