national jsna data set project

22
DRAFT November 2009 Surrey Anupama Shrestha, NHS Surrey Jenny Smith, Surrey County Council National JSNA Data Set Project

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National JSNA Data Set Project. Surrey Anupama Shrestha, NHS Surrey Jenny Smith, Surrey County Council. Surrey JSNA. Background Aims Methodology Outputs Future plans. Surrey JSNA. Background Political and demographic environment Priority places & ‘heat maps’ JSNA 2008 Aims - PowerPoint PPT Presentation

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Page 1: National JSNA  Data Set Project

DRAFTNovember 2009

Surrey

Anupama Shrestha, NHS Surrey Jenny Smith, Surrey County Council

National JSNA Data Set Project

Page 2: National JSNA  Data Set Project

Surrey JSNA

• Background• Aims• Methodology• Outputs• Future plans

Page 3: National JSNA  Data Set Project

Surrey JSNA

• Background– Political and demographic environment– Priority places & ‘heat maps’– JSNA 2008

• Aims• Methodology• Outputs• Future plans

Page 4: National JSNA  Data Set Project

Political and demographic environment The Surrey Strategic Partnership serves an estimated population of 1.1 million

Page 5: National JSNA  Data Set Project

Priority Places & Heat Maps

Page 6: National JSNA  Data Set Project

Priority Places & Heat Maps

Page 7: National JSNA  Data Set Project

JSNA 2008

A good start:

• Gathered lots of relevant data

• Generated joint priorities

• Raised awareness

But still a long way to go:

• “Morass of data”, no information

• Not enough district, borough or VCFS involvement

• Data not granular enough

• Static document

• Assessment not joint enough

• Need better engagement with communities

• Lack of shared vision to develop JSNA

• Lack of common ICT systems limits potential of JSNA

Page 8: National JSNA  Data Set Project

Surrey JSNA

• Background

• Aims• Methodology• Outputs• Future plans

Page 9: National JSNA  Data Set Project

Surrey Fieldwork: Project aims

JSNA at the heart of

single LIS for SSP

Gain wide partnership buy in

Commit resource to

develop JSNA

Secure high level buy in to

vision for JSNA

Agree project plan

Page 10: National JSNA  Data Set Project

Surrey JSNA

• Background• Aims

• Methodology– Market research– Consultation– Working together

• Outputs• Future plans

Page 11: National JSNA  Data Set Project

Surrey Fieldwork: Method

Market research: What can we learn from other LIS?

Requirements gathering: What do we need from LIS?

Working together:We can achieve more...

Page 12: National JSNA  Data Set Project

Surrey JSNA

• Background• Aims• Methodology

• Outputs– Options analysis– Business case template– Project plan

• Future plans

Page 13: National JSNA  Data Set Project

Surrey Fieldwork: Outputs

• Market research & options analysis• Business case template• Project plan• Outputs attached

Option 1 Option 2 Option 3

Examples • Isle of Wight ‘Eco-Island Information Observatory’

• Norfolk Insight

• East Sussex in Figures (ESiF)

• Data Unit Wales

• Milton Keynes Intelligence Observatory

• SEPHO and ERPHO

• ‘Nomad+’ Nottingham

5 Year Costs Under £100,000 £200,000 £300,000 – £500,000

Time to implement Less than 6 months 12 months 2 years +

Outline Specification

• Database: Range from non-existent to satisfactory

• Data visualisation tool: Excellent

• Web portal: Range from non-existent to excellent

• Database: Excellent

• Data visualisation tool: Excellent

• Web portal: Good

• Database: Excellent

• Data visualisation tool: Excellent

• Web portal: Excellent

Scalable Problematic:

• Solutions in this category are either niche or relatively small in terms of data capacity & processing power.

Yes:

• Option 3 is built on option 2

• Relatively large database.

• Option to upgrade SLIS to option 3 later.

Yes:

• Often built on option 2

• Relatively large database.

• Specialist content management solution makes growth of the web-portal easier.

Risk Medium:

• Proven solution, quick to deliver

• May not be as well future proofed as other solutions.

Medium:

• Gaining analytical power but risk alienating non-specialist users.

Medium:

• Bespoke solution will take at least two years to develop and may require significant outsourcing for consultancy/expertise.

Option 1 Option 2 Option 3

Examples • Isle of Wight ‘Eco-Island Information Observatory’

• Norfolk Insight

• East Sussex in Figures (ESiF)

• Data Unit Wales

• Milton Keynes Intelligence Observatory

• SEPHO and ERPHO

• ‘Nomad+’ Nottingham

5 Year Costs Under £100,000 £200,000 £300,000 – £500,000

Time to implement Less than 6 months 12 months 2 years +

Outline Specification

• Database: Range from non-existent to satisfactory

• Data visualisation tool: Excellent

• Web portal: Range from non-existent to excellent

• Database: Excellent

• Data visualisation tool: Excellent

• Web portal: Good

• Database: Excellent

• Data visualisation tool: Excellent

• Web portal: Excellent

Scalable Problematic:

• Solutions in this category are either niche or relatively small in terms of data capacity & processing power.

Yes:

• Option 3 is built on option 2

• Relatively large database.

• Option to upgrade SLIS to option 3 later.

Yes:

• Often built on option 2

• Relatively large database.

• Specialist content management solution makes growth of the web-portal easier.

Risk Medium:

• Proven solution, quick to deliver

• May not be as well future proofed as other solutions.

Medium:

• Gaining analytical power but risk alienating non-specialist users.

Medium:

• Bespoke solution will take at least two years to develop and may require significant outsourcing for consultancy/expertise.

LIS Components (and associated benefits)

Financial savings Efficiency Effectiveness Communication and engagement

Single database of shared data

Financial savings to be gained from redirection of resource from basic data processing to advanced analytics and high value analysis without having to backfill

• Builds capability for strategic assessment, targeting resources and joint commissioning

•Automate basic level data analysis and shift resource to production of high value intelligence

•Data is collected and collated once and used numerous times, reducing duplication

• Builds capability for service design and delivery that meet local needs (improve NI 5: satisfaction with local area)

•Live, automated data feed makes data available fast

• Single, joined up view of people, places, issues

• Key component in developing a strategic marketing capability to;

• influence attitudes

• improve reputation

• facilitate dialogue with residents

• leverage behaviour change

• working in partnership

Data visualisation tool

Financial savings from reduction in add hoc requests that could be redirected to a self service LIS (reduction in internal and external avoidable contact, e.g. FOI requests)

• Automatic reporting function reduces time taken to produce high quality reports

• Reduction in number of internal requests for information (reduction in internal avoidable contact)

• Provides basic self service decision support material

• Provides a desktop tool to enable employees to understand communities and become increasingly outcomes focussed

• Source of reliable, local intelligence for Members

Public facing web-portal

Intangible savings based on CLG estimate that on average 19 minutes is saved per visit to a LIS

• Reduction in number of external requests for information (reduction in external avoidable contact e.g. FOI).

• Procurement of a shared resource

• Provides common, shared evidence base for SSP

• Flexible web2 technology provides a forum for dialogue

• Empowers local people and facilitates public involvement in local decision making and delivery (improve NI 4: feel able to influence local decisions)

LIS Components (and associated benefits)

Financial savings Efficiency Effectiveness Communication and engagement

Single database of shared data

Financial savings to be gained from redirection of resource from basic data processing to advanced analytics and high value analysis without having to backfill

• Builds capability for strategic assessment, targeting resources and joint commissioning

•Automate basic level data analysis and shift resource to production of high value intelligence

•Data is collected and collated once and used numerous times, reducing duplication

• Builds capability for service design and delivery that meet local needs (improve NI 5: satisfaction with local area)

•Live, automated data feed makes data available fast

• Single, joined up view of people, places, issues

• Key component in developing a strategic marketing capability to;

• influence attitudes

• improve reputation

• facilitate dialogue with residents

• leverage behaviour change

• working in partnership

Data visualisation tool

Financial savings from reduction in add hoc requests that could be redirected to a self service LIS (reduction in internal and external avoidable contact, e.g. FOI requests)

• Automatic reporting function reduces time taken to produce high quality reports

• Reduction in number of internal requests for information (reduction in internal avoidable contact)

• Provides basic self service decision support material

• Provides a desktop tool to enable employees to understand communities and become increasingly outcomes focussed

• Source of reliable, local intelligence for Members

Public facing web-portal

Intangible savings based on CLG estimate that on average 19 minutes is saved per visit to a LIS

• Reduction in number of external requests for information (reduction in external avoidable contact e.g. FOI).

• Procurement of a shared resource

• Provides common, shared evidence base for SSP

• Flexible web2 technology provides a forum for dialogue

• Empowers local people and facilitates public involvement in local decision making and delivery (improve NI 4: feel able to influence local decisions)

Page 14: National JSNA  Data Set Project

Surrey JSNA

• Background• Aims• Methodology• Outputs

• Future plans– Consult– Engage– Communicate

Page 15: National JSNA  Data Set Project

Surrey Fieldwork: Future plans

JSNA on LIS platform enables

Greater district, borough & VCFS

involvement in JSNA

Increase granularity of JSNA to get more local

Less time processing, more time analysing &

joint assessment

Engage community and hard to reach groups in

JSNA

Promote JSNA 2009

Communicate key messages clearly

Page 16: National JSNA  Data Set Project

Conclusions

• More to LIS than meets the eye – visits and demos are essential

• JSNA a fundamental driver for LIS

• Sell the benefits of LIS, make it real and get the buy in

• Stay focussed

Page 18: National JSNA  Data Set Project

Option 1 Option 2 Option 3

Examples • Isle of Wight ‘Eco-Island Information Observatory’• Norfolk Insight

• East Sussex in Figures (ESiF)• Data Unit Wales

• Milton Keynes Intelligence Observatory• SEPHO and ERPHO• ‘Nomad+’ Nottingham

5 Year Costs Under £100,000 £200,000 £300,000 – £500,000

Time to implement Less than 6 months 12 months 2 years +

Outline Specification

• Database: Range from non-existent to satisfactory• Data visualisation tool: Excellent• Web portal: Range from non-existent to excellent

• Database: Excellent• Data visualisation tool: Excellent• Web portal: Good

• Database: Excellent• Data visualisation tool: Excellent• Web portal: Excellent

Scalable Problematic:• Solutions in this category are either niche or relatively small in terms of data capacity & processing power.

Yes:• Option 3 is built on option 2 • Relatively large database.• Option to upgrade SLIS to option 3 later.

Yes:• Often built on option 2 • Relatively large database. • Specialist content management solution makes growth of the web-portal easier.

Risk Medium:• Proven solution, quick to deliver but may not be as well future proofed as other solutions.

Medium: • Gaining analytical power but risk alienating non-specialist users.

Medium:• Bespoke solution will take at least two years to develop and may require significant outsourcing for consultancy/expertise.

Appendix: Options Analysis

Page 19: National JSNA  Data Set Project

LIS Components (and associated benefits)

Financial savings Efficiency Effectiveness Communication and engagement

Single database of shared data

Financial savings to be gained from redirection of resource from basic data processing to advanced analytics and high value analysis without having to backfill

• Builds capability for strategic assessment, targeting resources and joint commissioning•Automate basic level data analysis and shift resource to production of high value intelligence•Data is collected and collated once and used numerous times, reducing duplication

• Builds capability for service design and delivery that meet local needs (improve NI 5: satisfaction with local area)•Live, automated data feed makes data available fast• Single, joined up view of people, places, issues

• Key component in developing a strategic marketing capability to;• influence attitudes• improve reputation• facilitate dialogue with residents • leverage behaviour change• working in partnership

Data visualisation tool

Financial savings from reduction in add hoc requests that could be redirected to a self service LIS (reduction in internal and external avoidable contact, e.g. FOI requests)

• Automatic reporting function reduces time taken to produce high quality reports• Reduction in number of internal requests for information (reduction in internal avoidable contact)

• Provides basic self service decision support material• Provides a desktop tool to enable employees to understand communities and become increasingly outcomes focussed

• Source of reliable, local intelligence for Members

Public facing web-portal

Intangible savings based on CLG estimate that on average 19 minutes is saved per visit to a LIS

• Reduction in number of external requests for information (reduction in external avoidable contact e.g. FOI).• Procurement of a shared resource

• Provides common, shared evidence base for SSP• Flexible web2 technology provides a forum for dialogue

• Empowers local people and facilitates public involvement in local decision making and delivery (improve NI 4: feel able to influence local decisions)

Appendix: Business Case

Page 20: National JSNA  Data Set Project

Appendix: Project PlanExcel spreadsheet also available

Page 21: National JSNA  Data Set Project

Appendix: Useful Links

Wealth of information out there about LIS, here are a few of the best:

– http://www.communities.gov.uk/documents/communities/pdf/324177.pdf

– http://www.esd.org.uk/EsdToolkit/News/NewsDetail.aspx?Item=382

– http://www.data4nr.net/local-information-systems/

– Cambridge/Surrey research (IDEA ‘Healthy Communities’ community of practice)

Page 22: National JSNA  Data Set Project

Appendix: Useful Links cont…

Some of the best examples of LIS:

• http://www.norfolkinsight.org.uk/ - good example of partnership branding and design

• http://www.nomadplus.org.uk/ - good example of how GIS can be used to enhance LIS

 • http://www.eastsussexinfigures.org.uk/webview/ - powerful database

and data analysis tools • http://www.mkiobservatory.org.uk/ - very flexible web content

management