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Professor John Ainsworth
24/11/20166 Connected health cities
www.connectedhealthcities.org
Professor John Ainsworth
john.ainsworth@manchester.ac.uk
NHS-HE Forum, November 2016
1. Valderas JM, et al. Defining comorbidity: implications for understanding health and
health services. Annals of family medicine; 7(4):357–63.
2. Fortin M, et al. Randomized controlled trials: do they have external validity for
patients with multiple comorbidities? Annals of family medicine 2006 Jan
Sci Transl Med. 2010 Nov 10;2(57):
https://www.gov.uk/government/organisations/accelerated-access-review
https://www.gov.uk/government/organisations/accelerated-access-review
• Palm Tungsten
– Discontinued!
– 2nd hand from e-
Bay?
Life expectancy at birth, UK, 1980-82 to 2008-
2010
from period life tables
Source: ONS
• Hub and Spoke Model
• Four city regions
– Greater Manchester
– North West Coast
– Yorkshire & Humber
– North East and North Cumbria
• One hub (GM)
• ~2 pathways per region
• Start Jan 2016 - 3 years Population densities: North England 2012
Health North: CHC pilots
Three aims
1. To continually improve and optimise the health and social care
system to deliver better care, more efficiently, by providing
actionable information to inform decision making at all levels.
Health(care) Evidence History
Scientific basis of medicine 
Evidence based care
Learning health systems 
Evidence
Practice
Debate
Evidence
Practice
Translation
Evidence
Co-Practice
System
Evidence into practice (400 years):
One way translation
Tipping point:
Two-way translation
Systems that learn: an analogy
A health system organised to optimise the
delivery of care based on the evidence produced
through delivering care.
Data-Action Latency
Time
Data Production
Analysis
Data ProductionData-Action Latency
Insight
Action
Data
Preparation
Connected Health City: Ark-enhanced
Information Flows
Three aims
1. To continually improve and optimise the health and social care
system to deliver better care, more efficiently, by providing
actionable information to inform decision making at all levels.
This is known as a Learning Health System (LHS).
2. To establish a social contract with the population that gives
license to use healthcare data for the public good.
Data Sharing: Diameter of Trust
Actionable
information
for health
system
optimisation
National/Large
Population
Audits/Registers/Monit
oring
NOT SCALABLE
Excellence provider
benchmarking e.g.
strokeaudit.org but no
learning across disease areas
and not integrated with
SCALABLE
Payer evidence, quality
management, public health
intelligence and research
share data, infrastructure
and expertise
Large enough for
economy of scale
Small enough for
a conversation
with
the citizenry
about data
sharing
www.herc.ac.uk/get-involved/citizens-jury/
Public Engagement
• Citizens Juries
- http://www.herc.ac.uk/get-involved/citizens-jury/
- Nov 2016
• #datasaveslives
Information
Governance
Privacy Impact Assessment
Data sharing Agreements
Public
Engagement
#datasaveslives
Citizen Juries
Data Donation
Citizens
Portal
Dynamic consent
Data feedback
Social Licence
Civic Partnership
Three aims
1. To continually improve and optimise the health and social care
system to deliver better care, more efficiently, by providing
actionable information to inform decision making at all levels.
2. To establish a social contract with the population that gives
license to use healthcare data for the public good.
3. To accelerate business growth in the digital health sector for
the benefit of the North of England.
How will we drive economic growth
• Open innovation partnership with established IT companies to
advance core infrastructure
• Spin-in laboratory to accelerate development of digital health
technologies by SMEs
• Platform for delivering real-world evidence studies
• Scale to 15m population of North; internationally competitive
Technology
• Data Access, Information Governance and Citizens Control
➡Distributed Ledger Technology, Digital Economy
• Ark Design and Reference Architecture
➡Real-time multimodal data analytics
• Knowledge Exchange and Reuse
➡Digital asset: publication, discovery and reuse
• Data Federation, Virtualisation and Distributed Data Analysis
➡Security: Trust, Identity; Semantics & Discovery
Spin-in/out Laboratory
CHC Outcomes
• Civic partnerships
–Effective model for patient and public involvement
• Four pilot CHCs
–Blueprints and plans
• Federation of CHCs
–Exchanging and reusing knowledge
• Test learning health system methodology
–Understand data needs
• Model for driving economic growth
–Responsive to the needs of industry
Summary
1. To continually improve and optimise the health and social care
system to deliver better care, more efficiently, by providing
actionable information to inform decision making at all levels.
2. To establish a social contract with the population that gives
license to use healthcare data for the public good.
3. To accelerate business growth in the digital health sector for
the benefit of the North of England.
www.connectedhealthcities.org
Connected health cities

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Connected health cities

  • 1. Professor John Ainsworth 24/11/20166 Connected health cities
  • 4. 1. Valderas JM, et al. Defining comorbidity: implications for understanding health and health services. Annals of family medicine; 7(4):357–63. 2. Fortin M, et al. Randomized controlled trials: do they have external validity for patients with multiple comorbidities? Annals of family medicine 2006 Jan
  • 5. Sci Transl Med. 2010 Nov 10;2(57):
  • 8. • Palm Tungsten – Discontinued! – 2nd hand from e- Bay?
  • 9. Life expectancy at birth, UK, 1980-82 to 2008- 2010 from period life tables Source: ONS
  • 10.
  • 11.
  • 12. • Hub and Spoke Model • Four city regions – Greater Manchester – North West Coast – Yorkshire & Humber – North East and North Cumbria • One hub (GM) • ~2 pathways per region • Start Jan 2016 - 3 years Population densities: North England 2012 Health North: CHC pilots
  • 13. Three aims 1. To continually improve and optimise the health and social care system to deliver better care, more efficiently, by providing actionable information to inform decision making at all levels.
  • 14. Health(care) Evidence History Scientific basis of medicine  Evidence based care Learning health systems  Evidence Practice Debate Evidence Practice Translation Evidence Co-Practice System Evidence into practice (400 years): One way translation Tipping point: Two-way translation
  • 15. Systems that learn: an analogy
  • 16. A health system organised to optimise the delivery of care based on the evidence produced through delivering care.
  • 17. Data-Action Latency Time Data Production Analysis Data ProductionData-Action Latency Insight Action Data Preparation
  • 18. Connected Health City: Ark-enhanced Information Flows
  • 19.
  • 20. Three aims 1. To continually improve and optimise the health and social care system to deliver better care, more efficiently, by providing actionable information to inform decision making at all levels. This is known as a Learning Health System (LHS). 2. To establish a social contract with the population that gives license to use healthcare data for the public good.
  • 21.
  • 22. Data Sharing: Diameter of Trust Actionable information for health system optimisation National/Large Population Audits/Registers/Monit oring NOT SCALABLE Excellence provider benchmarking e.g. strokeaudit.org but no learning across disease areas and not integrated with SCALABLE Payer evidence, quality management, public health intelligence and research share data, infrastructure and expertise Large enough for economy of scale Small enough for a conversation with the citizenry about data sharing www.herc.ac.uk/get-involved/citizens-jury/
  • 23. Public Engagement • Citizens Juries - http://www.herc.ac.uk/get-involved/citizens-jury/ - Nov 2016 • #datasaveslives
  • 24. Information Governance Privacy Impact Assessment Data sharing Agreements Public Engagement #datasaveslives Citizen Juries Data Donation Citizens Portal Dynamic consent Data feedback Social Licence Civic Partnership
  • 25. Three aims 1. To continually improve and optimise the health and social care system to deliver better care, more efficiently, by providing actionable information to inform decision making at all levels. 2. To establish a social contract with the population that gives license to use healthcare data for the public good. 3. To accelerate business growth in the digital health sector for the benefit of the North of England.
  • 26. How will we drive economic growth • Open innovation partnership with established IT companies to advance core infrastructure • Spin-in laboratory to accelerate development of digital health technologies by SMEs • Platform for delivering real-world evidence studies • Scale to 15m population of North; internationally competitive
  • 27. Technology • Data Access, Information Governance and Citizens Control ➡Distributed Ledger Technology, Digital Economy • Ark Design and Reference Architecture ➡Real-time multimodal data analytics • Knowledge Exchange and Reuse ➡Digital asset: publication, discovery and reuse • Data Federation, Virtualisation and Distributed Data Analysis ➡Security: Trust, Identity; Semantics & Discovery
  • 29. CHC Outcomes • Civic partnerships –Effective model for patient and public involvement • Four pilot CHCs –Blueprints and plans • Federation of CHCs –Exchanging and reusing knowledge • Test learning health system methodology –Understand data needs • Model for driving economic growth –Responsive to the needs of industry
  • 30. Summary 1. To continually improve and optimise the health and social care system to deliver better care, more efficiently, by providing actionable information to inform decision making at all levels. 2. To establish a social contract with the population that gives license to use healthcare data for the public good. 3. To accelerate business growth in the digital health sector for the benefit of the North of England.