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The transformation of how we use data
Big data in health and care – April 19th 2016
Simon Beaumont
Head of Information
Why did we need B.I?
2
The case for change across the NHS is well known and common
across all Trusts:
Innovation and
collaboration
across
organisations
Increasing
efficiency
National data
flows and
pathway analysis
Why did we need B.I?
3
However, internally, the cultural case for change was more powerful
and engaging:
Data was being used for judgment and
creating a fear of data within clinicians
With performance conversations being
driven by a single number and often top
down
Our approach to B.I
4
The Trust has taken the approach that Business Intelligence
should be for the many (all employees), not for the few (the
Executive Team).
Our approach to B.I
5
As such we wanted to put the ‘i’ into B.I in a way that engages
clinicians, implementing B.I as a cultural project rather than a
technical project; creating a learning, informatics culture:
Individualised
Intriguing
Intuitive
Informative
Our approach to B.I
6
Individualising visualisations increases engagement, encourages
ownership and facilitates a culture of intrigue and learning.
Individualising visualisations can be achieved in multiple ways:
Patient level analytics Clinician level benchmarking
Our Tableau environment
7
A demonstration of some of the visualisations available to the
organisation:
The Tableau difference
8
Tableau has transformed the way we work in less than 6 months:
1,610
registered
users
56
daily
data
extracts
263
visualisations
1,156
subscriptions
The Tableau difference
9
Tableau has transformed the way we work in less than 6 months:

Efficiency; time saved and resources better utilised
Visualisations are now available daily through Tableau server
Ad-hoc requests are starting to be answered in Tableau within
minutes as opposed to hours previously when using Excel
The Tableau difference
10
Tableau has transformed the way we work in less than 6 months:

Analysts being used to analyse
Previous high level of repetition and process
Tableau is transforming the work of our analysts, enabling them
to analyse data and realise their potential
The Tableau difference
11
Tableau has facilitated the development of a positive, learning
culture where data is used for improvement:
Benchmarking of teams and data down to clinician level
Metrics are actively benchmarked across teams within a single
service line; teams are not restricted to viewing only their data
Performance is reported down to clinician level to
facilitate learning and increase accountability
The Tableau difference
12
Tableau has transformed the way we work in less than 6 months:
“The way things are going I may be needing
some sort of support group ‘Data
Anonymous’, I am finding that digging around
my data reports is quite addictive!”
“The work put into Tableau has certainly
transformed the way our teams work and I
can’t wait to be able to use it for the rest of
the teams that I manage.”
The Tableau difference
13
Tableau has transformed the way we work in less than 6 months:
“Has made an amazing difference in how I manage the teams
data. Has given me more time to concentrate on my clinical
caseload and see more patients. From countless bits of paper to
being able to subscribe the team to one weekly e-mail. This has
saved so much time. As for the rest of the data, this is genius.”
“At last an easily understood format that I have ensured all my
team has had training in and uses when they have the time. My
life as a manager has been made a lot easier and reporting is not
such a laborious process.
In short
14
and Business Intelligence can make a real
difference to the NHS and a real difference
to the patients we serve

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The transformation of how we use data - Simon Beaumont

  • 1. The transformation of how we use data Big data in health and care – April 19th 2016 Simon Beaumont Head of Information
  • 2. Why did we need B.I? 2 The case for change across the NHS is well known and common across all Trusts: Innovation and collaboration across organisations Increasing efficiency National data flows and pathway analysis
  • 3. Why did we need B.I? 3 However, internally, the cultural case for change was more powerful and engaging: Data was being used for judgment and creating a fear of data within clinicians With performance conversations being driven by a single number and often top down
  • 4. Our approach to B.I 4 The Trust has taken the approach that Business Intelligence should be for the many (all employees), not for the few (the Executive Team).
  • 5. Our approach to B.I 5 As such we wanted to put the ‘i’ into B.I in a way that engages clinicians, implementing B.I as a cultural project rather than a technical project; creating a learning, informatics culture: Individualised Intriguing Intuitive Informative
  • 6. Our approach to B.I 6 Individualising visualisations increases engagement, encourages ownership and facilitates a culture of intrigue and learning. Individualising visualisations can be achieved in multiple ways: Patient level analytics Clinician level benchmarking
  • 7. Our Tableau environment 7 A demonstration of some of the visualisations available to the organisation:
  • 8. The Tableau difference 8 Tableau has transformed the way we work in less than 6 months: 1,610 registered users 56 daily data extracts 263 visualisations 1,156 subscriptions
  • 9. The Tableau difference 9 Tableau has transformed the way we work in less than 6 months:  Efficiency; time saved and resources better utilised Visualisations are now available daily through Tableau server Ad-hoc requests are starting to be answered in Tableau within minutes as opposed to hours previously when using Excel
  • 10. The Tableau difference 10 Tableau has transformed the way we work in less than 6 months:  Analysts being used to analyse Previous high level of repetition and process Tableau is transforming the work of our analysts, enabling them to analyse data and realise their potential
  • 11. The Tableau difference 11 Tableau has facilitated the development of a positive, learning culture where data is used for improvement: Benchmarking of teams and data down to clinician level Metrics are actively benchmarked across teams within a single service line; teams are not restricted to viewing only their data Performance is reported down to clinician level to facilitate learning and increase accountability
  • 12. The Tableau difference 12 Tableau has transformed the way we work in less than 6 months: “The way things are going I may be needing some sort of support group ‘Data Anonymous’, I am finding that digging around my data reports is quite addictive!” “The work put into Tableau has certainly transformed the way our teams work and I can’t wait to be able to use it for the rest of the teams that I manage.”
  • 13. The Tableau difference 13 Tableau has transformed the way we work in less than 6 months: “Has made an amazing difference in how I manage the teams data. Has given me more time to concentrate on my clinical caseload and see more patients. From countless bits of paper to being able to subscribe the team to one weekly e-mail. This has saved so much time. As for the rest of the data, this is genius.” “At last an easily understood format that I have ensured all my team has had training in and uses when they have the time. My life as a manager has been made a lot easier and reporting is not such a laborious process.
  • 14. In short 14 and Business Intelligence can make a real difference to the NHS and a real difference to the patients we serve