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1 
The C3N Project: Peer-Production for a 
Learning Health System 
Michael Seid, PhD 
Cincinnati Children’s Hospital Medical 
Center
.5 x .5 = .25 
2 
McGlynn EA, et al. N Engl J Med 2003; 348:2635–45. 
Mangione-Smith R, et al.. N Engl J Med. 2007;357:1515–1523 
Brown & Bussell Mayo Clin Proc. 2011;86(4):304-314
What if….? 
• …we could create a vastly better chronic care system 
by harnessing inherent motivation and collective 
intelligence of patients and clinicians? 
• … this system allowed patients and physicians to 
share information, collaborate to solve problems, use 
their collective creativity and expertise to act in ways 
that improve health?
Who should be learning? 
Experts Everyone 
• Expert researchers 
• Expert clinicians 
• Patients 
• Families 
• Clinicians 
• Researchers
6 
Commons-Based Peer Production 
Yochai Benkler, “The Wealth of Networks”
Percent of Patients in Remission 
85%	 
80%	 
75%	 
70%	 
65%	 
60%	 
55%	 
50%	 
45%	 
40%	 
35%	 
30%	 
Percent	of	IBD	Pa ents	in	Remission		 
2007	 2008	 2009	 2010	 2011	 2012	 
Remission	Rate	 
Crandall, Margolis, Colletti et al Pediatrics 2012;129:1030 
Year	 
Figure	1
ImproveCareNow C3N 
Peer Production 
9 
Pre-Visit Planning 
Population Mgmt
Orchestra: 
Collaborative tracking for co-producing health 
Mobile App/Web App: 
Families/Patients 
• Tracking Symptoms 
• Patient Notes 
• Visualize Data 
• Health Reports 
• Survey delivery 
Desktop/Web: Providers and 
Families 
• Population review 
• Patient data review 
• Note review and response 
• User setup and administration 
• Study administration 
Cloud-Based Data Service 
• Wearable device integration 
• SMS / Email / Mobile integration 
• EMR interoperability 
• User engagement analytics 
• Rapid multi-site deployment
Be Part of the Solution 
• Web: c3nproject.org 
• Twitter @c3nproject 
• Email us: info@c3nproject.org 
13

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Healthy power technology seid hospital of tomorrow

  • 1. 1 The C3N Project: Peer-Production for a Learning Health System Michael Seid, PhD Cincinnati Children’s Hospital Medical Center
  • 2. .5 x .5 = .25 2 McGlynn EA, et al. N Engl J Med 2003; 348:2635–45. Mangione-Smith R, et al.. N Engl J Med. 2007;357:1515–1523 Brown & Bussell Mayo Clin Proc. 2011;86(4):304-314
  • 3. What if….? • …we could create a vastly better chronic care system by harnessing inherent motivation and collective intelligence of patients and clinicians? • … this system allowed patients and physicians to share information, collaborate to solve problems, use their collective creativity and expertise to act in ways that improve health?
  • 4.
  • 5. Who should be learning? Experts Everyone • Expert researchers • Expert clinicians • Patients • Families • Clinicians • Researchers
  • 6. 6 Commons-Based Peer Production Yochai Benkler, “The Wealth of Networks”
  • 7.
  • 8. Percent of Patients in Remission 85% 80% 75% 70% 65% 60% 55% 50% 45% 40% 35% 30% Percent of IBD Pa ents in Remission 2007 2008 2009 2010 2011 2012 Remission Rate Crandall, Margolis, Colletti et al Pediatrics 2012;129:1030 Year Figure 1
  • 9. ImproveCareNow C3N Peer Production 9 Pre-Visit Planning Population Mgmt
  • 10.
  • 11.
  • 12. Orchestra: Collaborative tracking for co-producing health Mobile App/Web App: Families/Patients • Tracking Symptoms • Patient Notes • Visualize Data • Health Reports • Survey delivery Desktop/Web: Providers and Families • Population review • Patient data review • Note review and response • User setup and administration • Study administration Cloud-Based Data Service • Wearable device integration • SMS / Email / Mobile integration • EMR interoperability • User engagement analytics • Rapid multi-site deployment
  • 13. Be Part of the Solution • Web: c3nproject.org • Twitter @c3nproject • Email us: info@c3nproject.org 13

Editor's Notes

  1. Americans receive only 50% of recommended care and typically perform only about half of the "self-management" procedures and behaviors necessary to keep them healthy.
  2. Distributed, or network-based production – that with the right system, everyone can contribute to the solution
  3. This slide shows the impact on the rate of remission among the first 15 teams to join the network. This is an annotated control chart showing, on the Y-axis, the % of patients in remission. Time is on the X-axis. The various interventions are noted on the slide. These data are from last August when the rate of remission reached about 73%. We are now up to about 77%.
  4. As the C3N model has matured, more tools that make it easier for more people to participate in the production system become available. Thus, for example, as tools such as the Enhanced Registry, automated population management and pre-visit planning, patient activation tools, N-of-1 learning platform, ImproveCareNow Exchange, Smart Patients, and remote monitors such as Ginger.io move into implementation, it becomes easier for clinicians and patients to participate in the production of information, knowledge, and know-how for improved health. This also applies to tools that reduce the costs of key research activities such as the federated IRB; an intellectual property commons framework; stage-gate innovation management; standard operating procedures and documents such as charters, KDD, measure dashboards; and data sharing and authorship documents, which all make it easier for researchers and entrepreneurs to participate at the level of the COIN.