Connected health cities

Connected health cities

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  Professor John Ainsworth 24/11/20166Connected health cities
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  www.connectedhealthcities.org
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  Professor John Ainsworth [email protected] NHS-HEForum, November 2016
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  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
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  Sci Transl Med.2010 Nov 10;2(57):
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  https://www.gov.uk/government/organisations/accelerated-access-review
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  https://www.gov.uk/government/organisations/accelerated-access-review
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  • Palm Tungsten –Discontinued! – 2nd hand from e- Bay?
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  Life expectancy atbirth, UK, 1980-82 to 2008- 2010 from period life tables Source: ONS
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  • Hub andSpoke 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
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  Three aims 1. Tocontinually 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.
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  Health(care) Evidence History Scientificbasis 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
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  Systems that learn:an analogy
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  A health systemorganised to optimise the delivery of care based on the evidence produced through delivering care.
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  Data-Action Latency Time Data Production Analysis DataProductionData-Action Latency Insight Action Data Preparation
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  Connected Health City:Ark-enhanced Information Flows
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  Three aims 1. Tocontinually 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.
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  Data Sharing: Diameterof 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/
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  Public Engagement • CitizensJuries - http://www.herc.ac.uk/get-involved/citizens-jury/ - Nov 2016 • #datasaveslives
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  Information Governance Privacy Impact Assessment Datasharing Agreements Public Engagement #datasaveslives Citizen Juries Data Donation Citizens Portal Dynamic consent Data feedback Social Licence Civic Partnership
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  Three aims 1. Tocontinually 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.
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  How will wedrive 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
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  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
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  Spin-in/out Laboratory
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  CHC Outcomes • Civicpartnerships –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
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  Summary 1. To continuallyimprove 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.
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  www.connectedhealthcities.org