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"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange
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"Insourcing Innovation - presentation by Sansum's David Kerr at the Summer 2014 DiabetesMine D-Data ExChange

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David Kerr, new director of research & innovation at the Sansum Diabetes Research Institute in Santa Barbara, discusses "insourcing innovation" at the June 2014 DiabetesMine D-Data event in San …

David Kerr, new director of research & innovation at the Sansum Diabetes Research Institute in Santa Barbara, discusses "insourcing innovation" at the June 2014 DiabetesMine D-Data event in San Francisco.

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  • Taxonomy of the AP design. A specific AP configuration is created by selecting options for each of the major elements shown in the figure. Solid lines demonstrate connections that are always present and dashed lines represent connections that may only be present in some configurations. The tuning, model, and desired glucose concentration are all part of the controller, as signified by the black arrows. Green color distinguishes physiological states or properties from measured or digital signals. Black lines are used to indicate predetermined features of a block, and blue lines indicate signals or actions conducted during closed-loop operation.
  • Transcript

    • 1. New Clinical Collaborations for D-Data Innovations dkerr@sansum.org
    • 2. Can Machines Think? “Can machines help people think?” “Can people help machines help people think? http://smart.inf.ed.ac.uk/category/video/
    • 3. Diabetes Care Today ADA recommendations •<8.0% 6-12 years •<7.5% 13-17 years •<7.0% adults “while avoiding recurrent hypoglycemia” “patients with type 1 diabetes are capable of achieving target HbA1c levels” N = 6229 13-18 year olds 8.8% N= 6862 6-13 year olds 8.4% Beck R et al J Clin Endocrinol Metab 2012; 12: 11
    • 4. 25,390 children and young people with diabetes HbA1c <7.5% 17% HbA1c 7.5 - 9.0% 56% HbA1c >9.0% 27%
    • 5. Personal Diabetes Aged 46 •Type 1 diabetes 35 years •HbA1c 6.1% •Mother, athlete, researcher •CSII, CGMS •No complications •No severe hypoglycemia 20 minutes
    • 6. Diabetes Care Today • Unattractive technology • consumer electronics • Impersonal technology • make it mine • Inaccessible technology • visual, functional, cognitive • One-size-fits-all technology • reservoirs, tubing, strips • Unconnected technology • sync with phone, records, social • Unintelligent technology • Education, learning http://www.diabetesmine.com/2012/11/patients- call-for-innovation-diabetesmine-summit-2012.html
    • 7. “65% of all time downloads from the diabetes app market are generated by only 14 app publishers. The majority are small app developers” “Mobile diabetes apps are currently used by only 1.2% of the target group”
    • 8. The current approach to technology for diabetes care is not working
    • 9. Insourcing Innovation – 4 Stage Design • Contextual enquiry • Embed in the life of users • Social component • Problem definition • What is the exact problem • Avoid expensive premature anchoring • Exploration of alternatives • Divergence in alternatives • Real-time user feedback • Rapid validation • Does it make a difference • Hours and days Asch D et al N Eng J Med May 8th 2014
    • 10. Diabetes Care Today People – process information, creative, abstract – high level Machines – organize , analyze, process, present information – low level Social – supportive, alternative, non-hierarchical –high level
    • 11. The Rise of Social Machines http://sociam.org/
    • 12. Smart Society http://smart.inf.ed.ac.uk/ “Society is moving towards a socio-technical ecosystem in which the physical and virtual dimensions of life are more and more intertwined and where people interaction, more often than not, takes place with or is mediated by machines”
    • 13. Natural Pancreas βα Glucose
    • 14. Artificial Pancreas Doyle F J et al. Dia Care 2014;37:1191-1197
    • 15. Fully Automated Closed-Loop System Kudva, Diabetes Care May 2014
    • 16. Problem Solving • Hypo unaware • Metabolic memory • New onset T1DM • Pregnancy planning Adaptive Diabetes Systems
    • 17. Non-Adaptive Systems
    • 18. Adaptive Diabetes Systems Device Data Interpreted Shared Elaborated InformationExperienceConsumer Data Humans as Consumers Adaptive, Individual, Scalable, Societal
    • 19. Adaptive Diabetes Systems- Roadblocks Human Machine Outcomes Device Semantic Gap Evidenced TrustworthyWorthwhile Provenance
    • 20. Smart Diabetes Society • Devices (open, interoperable) • Data (semantics) • Architecture (cloud) • Adaptation – (physiological) • Adaptation – (learned) • Social (big data) • Effectiveness (evidence, trust) • Incentives (stickiness)
    • 21. Creating a Smart Diabetes Society- Contextual Enquiry and Problem Definition
    • 22. Creating a Smart Diabetes Society- Exploration of alternatives Information Here and Now $ $ $
    • 23. Creating a Smart Diabetes Society- Rapid Validation Data New DataNew ExperienceNew Outcomes Glucocentric Perfomance Qualitative Share
    • 24. Smart Diabetes Society - Travel
    • 25. Smart Diabetes Society – Mass Gatherings
    • 26. Smart Diabetes Society Life Moments Human Experience Knowledge Social Interaction Adaptive Machines Devices Data Crowd Kerr D, Deus Ex Machina Prim Care Diab 2011
    • 27. UCSanta Barbara/Sansum Consortium for Diabetes Innovation • Chemical Engineering (Artificial Pancreas) • Computer Science (Cloud Computing) • Digital Games Research (Health Games)
    • 28. Smart Diabetes Society Open Data Interoperability
    • 29. Smart Diabetes Society
    • 30. Smart Diabetes Society dkerr@sansum.org

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