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Use of Business Intelligence systems to support effective commissioning decisions NHS Commissioning Support Units
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Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Jan 16, 2017

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Page 1: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Use of Business Intelligence

systems to support effective

commissioning decisions

NHS Commissioning Support Units

Page 2: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Four case studies demonstrating use of Business

Intelligence in high profile commissioning decision

making:

- Improving stroke services

- Improving efficiency ‘Right Care’

- Operational management of urgent care

- Supporting New Models of Care

Page 3: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Presented by three Commissioning Support Units:

- Improving stroke services

South, Central and West

- Improving efficiency through ‘Right Care’

Arden & GEM

- Operational management of urgent care

North of England

- Supporting New Models of Care

South, Central and West

Page 4: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Improving Stroke Services in

Somerset

Use of Geographical Information Systems in South,

Central and West Commissioning Support Unit

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• In spring 2014, Somerset Clinical Commissioning Group looked into how a

proposed centralised stroke service, based at Musgrove Park Hospital

Taunton, would affect the population of Somerset.

• This followed an Independent Expert Panel report in November 2013

recommending significant changes to stroke services in Somerset.

• Somerset is a large county measuring 1,330 square miles and 70 miles

across. Previously, the service review had assumed that closing the stroke

services at Yeovil Hospital would benefit patients clinically.

• However, it was decided to use GIS analysis to see how the proposed

changes would impact the population…

Stroke Service Review in Somerset

Page 6: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

• Service provider

sites: Taunton and

Yeovil hospitals

• Blue-light

emergency

transport travel

isochrones

• “Scene to Door”

times

• 10 minute travel

zones

‘Blue Light’ drive times

Page 7: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

• Now excluding

Yeovil Hospital

• Immediate

visualisation of gaps in service

availability

‘Blue Light’ drive times

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• Actual Stroke patient locations (approx

1000) attending Yeovil

Hospital - recorded by

ambulance service between 2011 and

2013 (2 ½ years)

• Overall “Call to Door”

times

• Target time of 57% of

patients within 60 minutes

• “The Golden Hour” for

evaluating and

treating acute stroke

Stroke Patient Location Analysis

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• For the cohort of Yeovil patients

• Calculated average, maximum, minimum travel times

• Fixed average “Call to Scene” and “On Scene” times

• “Scene to door” times with and without Yeovil Hospital

– Without Yeovil, average scene to door times double from 16 to 32 minutes

• Overall “Call to door” times with and without Yeovil Hospital

– Without Yeovil, call to door times ALL exceed 60 minute target time

• This was the most influential piece of information

Population analysis

Page 10: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

“The evidence that a centralisation of hyper-acute services would improve outcomes for patients in Somerset is not definitive. The Independent Clinical Expert for the business case has suggested that TSTFT would find it challenging to move in the short term towards being the single hyper-acute centre for stroke services and ensure that such a move resulted in a better service for patients than they currently receive. This is particularly the case because of the rural nature of Somerset and the travel time implications which would mean that Taunton would have to show it can achieve door to needle times that were on average 20 minutes better than Yeovil could achieve in order simply to stand still compared to the status quo (for the small number of patients requiring thrombolysis). Neither the general academic research evidence available on centralisation, nor the Independent Clinical Expert’s work has provided a convincing case that would be credible to local people that the loss of their local access to hyper-acute care and the increased travel times would be mitigated by improved outcomes above what they could have had from services at Yeovil (if those services are properly developed). We do, however, note the intention of NHS England to develop plans this year to centralise stroke services in two areas which may provide further evidence.” Source: Stroke Services Review Consultation Business Case

Version 4. Governing Body 4 June 2014

Business case Conclusions and recommendations

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Summary

• Complex information on travel times and access to services presented in an easy to understand way

• Evidence-based information resulted in accurate decision making

• Results showed that the 60 minute call-to-door target time for stroke patients would not be achievable for many patients

• Decision was made not to close the service at Yeovil Hospital

• The methodology and techniques used are repeatable for other service reviews and other geographical areas

Page 12: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Improving Efficiency

Right Care ‘Deep Dives’ by Arden and GEM

Commissioning Support Unit

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The Process

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The Methodology Analyse wide range of indicators focussing on spend and quality

• Analyse wide range of national benchmarked data to identify indicators where CCG is below the average for its cluster group

• Identify indicators where CCG is in worst quintile within its cluster

• Analyse practice based variation to identify practices which consistently compare poorly

Identify opportunities for value improvement and quantify potential impact

• Quantify opportunity for indicators in bottom quintile of moving to average for cluster

• Quantify financial opportunities for other indicators of moving to average for cluster

• Quantification does not mean that the saving or improvement can be made, but can answer the question ‘Is it worth focussing on this area?’

Review national evidence base to identify potential interventions

• Pull together examples of ‘what works’ against ‘opportunity’ areas across the pathway

• Identify ‘high performing’ CCGs from cluster to support review

Deep dives follow the Right Care methodology and are designed to support the principles of the national Commissioning for Value programme

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We adopt two different perspectives when selecting indicators that are worth

focusing on.

• In the first, we ask ‘Which CCG indicators are definitely outliers compared with the

benchmark group average?’. This ensures we avoid focusing too much on ‘outlier’

indicators that may just reflect a one-off bad year, by using statistical significance

testing.

• In the second, we ask ‘Which CCG indicators point to the greatest potential

financial savings if the CCG were to move to the benchmark group average? This

ensures that we take a thorough look at all indicators where there may be large

potential savings, even if we are less sure whether the ‘outlier’ indicators just

reflect a one-off bad year.

The Deep Dive is able to confirm or challenge the data provided in the Commissioning for Value packs by making area appropriate

adjustments.

Unique Approach

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Service Transformation Building on the what Deep Dive tells us, we add in a local ‘situational analysis’ e.g.:

• What are the wider health and social care issues?

• What’s the coverage and performance of primary care?

• What is the quality and spread of nursing and care home sector?

• What is the quality and performance of mental health services?

We work with local area to agree programme of change:

• System wide or pathway

Leadership

Visioning

Strategy development

Facilitation

Stakeholder engagement

Agreeing outcomes

Whole system planning

Care pathway planning

Risk/ gain share

New models of contracting

Measuring outcomes

Changing Culture

Shared Purpose Getting It Done Holding to Account

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• Using benchmarking data to identify opportunities for improvement

• Highlighting where a CCG could be delivering better value clinical

services by analysing programme budgeting indicators

• Better value is quantified in terms of improved clinical outcomes and cost

• We explore successful transformational interventions linked to the

opportunities for improvement.

Arden & GEM CSU has now provided almost 30 deep dive packs

for CCGs across England across a range of areas and services

including respiratory disease, diabetes, neurology, mental health

and musculoskeletal care.

The Benefits

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Using Timely Business Intelligence to

Proactively Manage Patients

North of England Commissioning Support

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Introduction • Traditional data flows are a good view of the past, but how do we get a view

of the present or near future?

• Patients can be vulnerable to readmission immediately following discharge

from hospital

• Targeted patient identification and clinical intervention in primary care can

reduce the risk of readmission

• Initiate targeted patient contacts for other users of urgent care as required

• Requires more than a discharge letter

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Urgent Care Dashboard • A range of data feeds from clinical and administrative systems

• Produce a range of visual dashboards to provide context for urgent care pressures

– Settings

– Volumes

– Alerts

– Peer benchmarking

– Time of day / day of week analyses

• But, at GP Practice level…

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Urgent Care Dashboard

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Risk of Readmission

Initiate patient contact to

prevent readmission

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Urgent Care Dashboard

23

Initiate patient

contacts to provide

appropriate primary

care treatment

Page 24: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

Supporting New Models of Care

The Symphony Vanguard Project in Somerset

Page 25: Use of business intelligence systems to support effective commissioning decisions, pop up uni, 1pm, 2 september 2015

The Relationship Between age and

Long Term Conditions

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The Relationship between LTCs and

Health and Social Care Costs

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When LTCs

drive costs

and you have

an aging

population….

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South Somerset Vanguard

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Outcomes Based

Commissioning in

Somerset

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We are using integrated data to work out how

whole system capitated budgets could work

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Integrated data can also define service utilisation

for the whole population for all services..

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We use integrated data to inform population

segmentation options for Outcome-based

Commissioning

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We are building outcomes data into symphony

data to incentivise delivery of the right outcomes

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Common themes of these case studies

• Commissioning Support Units are positioned to be able to exploit tools, technologies and skills to support the most important commissioning challenges facing the NHS

• BI solutions can support significant changes in service delivery and patient outcomes when they are delivered at scale across health systems

• Commissioning decisions and those concerning new models of care delivery are becoming more complex. Business intelligence is critical to ensuring that these decisions are based on evidence

• The NHS is using Business Intelligence to ensure decisions are based on what WILL happen not what has happened in the past

• Technology and systems are often the easier bit! The challenge is to build coalitions of clinical sponsors who are committed to work with information specialists to deliver change on the ground.

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…Discussion

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For further information: • Catherine Dampney Stroke and the Symphony Project

[email protected]

• Simon Freeman Right Care

[email protected]

• Ian Nicolson Urgent Care Dashboard

[email protected]

Many NHS CSUs are also in the NHS Expo Exhibition