North West Ambulance Service Business Intelligence
description
Transcript of North West Ambulance Service Business Intelligence
North West Ambulance Service Business Intelligence
Barry DukeSenior Consultant, Ascribe
About NWAS
The North West Ambulance Service is the biggest ambulance service in the country providing 24 hour, 365 days a year accident and emergency services to those in need of emergency medical treatment and transport. Our highly skilled staff provide life-saving care to patients in the community and take people to hospital or a place of care if needed.
About Ascribe…
• Health & Social Care BI Portals• Microsoft• Integration to many key clinical and corporate
systems• 70+ customers for BI • 75% coverage of NHS on other solutions• Public Sector (Health and Local / Regional
Government)• Output:
• Consulting• Accelerators• Hardened product
Purpose
• BI Challenges in NWAS• Methodology• Platform• What we did and what we produced
…but first – what they said!
http://www.itpro.co.uk/630817/introducing-excel-powerpivot
BI Strategy
• From department to enterprise• From reporting to knowledge• From submission to harvesting• From silos to warehouses• From batch to message• From desktop to web• From data sets to enterprise schematics• From bespoke to re-usable• From ad hoc to structured• From divisions to “Corp”• From reporting software to Microsoft BI stack
Data Warehouse Methodology
Microsoft BI Stack
Issues Business Intelligence helps solve
• Service design• Performance / contract / finance management• Capacity planning• SLR• Forecasting and projection• Trend and time-series• Service delivery - outcomes not inputs• Mergers and acquisitions – e.g. Public Health
functions
MIS Application
Report Server
OLAPApplicationData Store
Operational Data Store
Cubes
Integration Services
Analysis Services
Reporting Services
Sharepoint Portal
Tota
l Dem
and
# CA
T A
Resp
onse
s
% C
AT A
Res
pons
es w
ithin
/ove
r 8 M
ins
% C
AT A
Res
pons
es w
ithin
/ove
r 19
Min
s
# CA
T B
Resp
onse
s
% C
AT B
Res
pons
es w
ithin
/ove
r 19
Min
s
# CA
T C
Resp
onse
s
% C
AT C
Res
pons
es in
[loc
al ta
rget
]
# A
S3 R
espo
nses
# CT
C to
Allo
catio
n (F
irst V
ehicl
e CA
T A)
% C
TC to
Allo
catio
n (F
irst V
ehicl
e CA
T A)
with
in/o
ver 6
5 se
cs
# CT
C to
Allo
catio
n (B
est V
ehicl
e CA
T A)
% C
TC to
Allo
catio
n (B
est V
ehicl
e CA
T A)
with
in/o
ver 6
5 se
cs
# Ca
ll Pick
Up
(AS1
/2)
% C
all P
ick U
p (A
S1/2
) with
in/o
ver 5
secs
# Lo
catio
n Co
nfirm
ation
(CA
T A)
% Lo
catio
n Co
nfirm
ation
(CAT
A) w
ithin
/ove
r 30
secs
# RI
to A
lloca
tion
(Firs
t Veh
icle
CAT
A)
% R
I to
Allo
catio
n (F
irst V
ehicl
e CA
T A)
with
in/o
ver 3
0 se
cs
# RI
to A
lloca
tion
(Bes
t Veh
icle
CAT
A)
% R
I to
Allo
catio
n (B
est V
ehicl
e CA
T A)
with
in/o
ver 3
0 se
cs
# Ho
spita
l Att
enda
nces
% H
ospi
tal T
urna
roun
d w
ithin
/ove
r 20
min
s
Aver
age
Hosp
ital T
urna
roun
d
Days
Lost
at H
ospi
tals
Tota
l Los
t Uni
t hou
rs >
20
min
sDimensionsAmbulance Crew X X X X X X X X X X X X X X X X X X X X X XCall Category (A, B, C, AS3) X X X X X X X X X X X X X X X X X X X X X X X X X XCommissioner (PCT, DHA) X X X X X X X X X X X X X XDate X X X X X X X X X X X X X X X X X X X X X X X X X XGPS (location of incident/Ambulance) X X X X X X X X X X X X X X X X X XHospital X X X X XIncident Type X X X X X X X X X X X X X X X X X X X X X X X XLocation (Analysis Area, Address, Postcode) X X X X X X X X X X X X X X X X X X XMPDS Code X X X X X X X X X X X X X X X X X X X X X X X XOrganisation (Area>Sector) X X X X X X X X X X X X X X X X X X X X X X X X X XPatient X X X X X X X X X XStaff (Call Taker, Dispatcher) X X X X X X X X X X X X X X X X X X X X XTime X X X X X X X X X X X X X X X X X X X X X X X X X XVehicle Station X X X X X X X X X X X X X X X X X X X X X XVehicle Type X X X X X X X X X X X X X X X X X X X X X X
Business Matrix
Demand and Response Hospital TurnaroundControlMeasures
Data Set
ScorecardDrillable ChartDatasheet ViewProClarityDundas / RSRS BING
The matrix!
Handover to Clear
# Ca
lls (T
otal
Dem
and)
# CA
T A
Resp
onse
s
% C
AT A
Res
pons
es w
ithin
/ove
r 8 M
ins
# CA
T A
Conv
eyin
g Re
spon
ses
% C
AT A
Con
veyi
ng R
espo
nses
with
in/o
ver 1
9 M
ins
# CA
T B
Conv
eyin
g Re
spon
ses
% C
AT B
Con
veyi
ng R
espo
nses
with
in/o
ver 1
9 M
ins
# CA
T C
Resp
onse
s
% C
AT C
Res
pons
es in
[loc
al ta
rget
]
# AS
3 Re
spon
ses
# Ca
lls re
solv
ed th
roug
h te
leph
one
advi
ce
# Pa
tient
s tre
ated
at t
he sc
ene
only
# Pa
tient
Jour
neys
# CT
C to
Allo
catio
n (F
irst V
ehicl
e)
% C
TC to
Allo
catio
n (F
irst V
ehicl
e) w
ithin
/ove
r 65
secs
# CT
C to
Allo
catio
n (B
est V
ehicl
e)
% C
TC to
Allo
catio
n (B
est V
ehicl
e) w
ithin
/ove
r 65
secs
# Ca
ll Pick
Up
(AS1
/2)
% C
all P
ick U
p (A
S1/2
) with
in/o
ver 5
secs
# Lo
catio
n Co
nfirm
ation
% Lo
catio
n Co
nfirm
ation
with
in/o
ver 3
0 se
cs
# RI
to A
lloca
tion
(Firs
t Veh
icle)
% R
I to
Allo
catio
n (F
irst V
ehicl
e) w
ithin
/ove
r 30
secs
# RI
to A
lloca
tion
(Bes
t Veh
icle)
% R
I to
Allo
catio
n (B
est V
ehicl
e) w
ithin
/ove
r 30
secs
# CT
C to
Allo
catio
n un
der/
over
120
secs
(Firs
t Veh
icle)
% C
TC to
Allo
catio
n un
der/
over
120
secs
(Firs
t Veh
icle)
# CT
C to
Allo
catio
n un
der/
over
120
secs
(Bes
t Veh
icle)
% C
TC to
Allo
catio
n un
der/
over
120
secs
(Bes
t Veh
icle)
# Ho
spita
l Att
enda
nces
% H
ospi
tal T
urna
roun
d w
ithin
/ove
r 20
min
s
Mea
n Av
erag
e Ho
spita
l Tur
naro
und
(arr
ived
to cl
ear)
Days
Lost
at H
ospi
tals
Tota
l Los
t Uni
t hou
rs >
20
min
s
# Ar
rived
to N
otifie
d un
der/
over
10
min
s
% A
rriv
ed to
Noti
fied
unde
r/ov
er 1
0 m
ins
Mea
n av
erag
e Ar
rived
to N
otifie
d Ti
me
# N
otifie
d to
Han
dove
r Tim
e un
der/
over
15
min
s
% N
otifie
d to
Han
dove
r Tim
e un
der/
over
15
min
s
Mea
n Av
erag
e N
otifie
d to
Han
dove
r Tim
e
# Ha
ndov
er to
Cle
ar T
ime
10/2
0/30
+ m
ins
% H
ando
ver t
o Cl
ear T
ime
10/2
0/30
+ m
ins
Mea
n av
erag
e Ha
ndov
er to
Cle
ar T
ime
# Al
loca
tion
to M
DT u
nder
/ove
r 10
secs
%Al
loca
tion
to M
DT u
nder
/ove
r 10
secs
# M
DT to
Ack
now
ledg
emen
t und
er/o
ver 3
0 se
cs
% M
DT to
Ack
now
ledg
emen
t und
er/o
ver 3
0 se
cs
# Ac
know
ledg
emen
t to
Mob
ile u
nder
/ove
r 30
secs
% A
ckno
wle
dgem
ent t
o M
obile
und
er/o
ver 3
0 se
cs
# Al
loca
tion
to M
obile
und
er/o
ver 6
0 se
cs
% A
lloca
tion
to M
obile
und
er/o
ver 6
0 se
cs
# Al
loca
ted
to A
t Sce
ne u
nder
/ove
r 6 m
ins
% A
lloca
ted
to A
t Sce
ne u
nder
/ove
r 6 m
ins
# O
n sc
ene
unde
r/ov
er 2
0 m
ins
% O
n sc
ene
unde
r/ov
er 2
0 m
ins
# Le
ft S
cene
to a
t Hos
pita
l und
er/o
ver 2
0 m
ins
% Le
ft S
cene
to a
t Hos
pita
l und
er/o
ver 2
0 m
ins
# Jo
b Cy
cle (A
lloca
tion
to C
lear
) und
er/o
ver 5
8 m
ins
% Jo
b Cy
cle (A
lloca
tion
to C
lear
) und
er/o
ver 5
8 m
ins
# Jo
b Cy
cle (C
TC T
ime
to C
lear
) und
er/o
ver 6
0 m
ins
% Jo
b Cy
cle (C
TC T
ime
to C
lear
) und
er/o
ver 6
0 m
ins
Plan
ned
Uni
t Hou
rs
Uni
t Hou
r Dem
and
Uni
t Hou
r Sup
ply
Uni
t Hou
r Util
isatio
n
Uni
t Hou
r Cap
acity
Age X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XCall Category (Gov) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XCall Category (Service) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XCall Sign X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XChief Complaint X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XClinic Type X X X X X X X X X X X X X X X X X X XCommissioner X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XDate X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XGender X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XGeography X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XHospital X X X X X X X X X X X X X X X X X X XIncident Type X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XLate Handover Reasons X X X X X X X X X X XLocation X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XNature X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XOrganisation X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XReason Stop X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XStaff X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XStaff Type X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XTag X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XTime X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X XVehicle Type X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
Crew Job Cycle
Dim
ensi
ons
Mea
sure
s
M
easu
res G
roup
s
ResourcesDemand and Response Control Job Cycle Hospital TurnaroundDemand and Response CTC to Location Confirmed CTC to Allocation Hospital Attendances Arrived to Notified Notified to Handover Allocation to On Scene Left Scene to Hosp Allocation to Clear CTC to Clear Resources
Connecting you with your data: Sharepoint
Sharepoint
• Secure• Delineates users by capability / capacity• Board to incident record in less than 5 clicks• Scorecards for exceptions and assurance• Dashboards for drill-down• Designed to meet self-service needs• If a bus matrix is 100 measures by 20
dimensions then you can answer 2000 questions in seconds with no technical skills
Connecting you with your data: Sharepoint
Connecting you with your data: Excel
Power Pivot
• In-Memory BI• 6m rows in Excel• Slicers• Sparklines• Data mining features• Adding in new data sets on the fly• Direct interface to structured warehouse• Published via Excel (NOT e-MAILED!)• For analysts
Power Pivot
Bespoke presentation
• Formatting and presentation influences consumption
• … as much as content!• Gauges and dials don’t help analysts• … but they help others
Same Platform Generates Operational Clinical Intelligence
Public Health GIS
Public Health GIS
Summary
• The Microsoft stack• A structured methodology• Accelerator products and consultancy projects• Meeting real business and clinical needs