Learning Health System Briefing
Chuck Friedman
Josh Rubin
AMIA Symposium
November 17, 2015
Disclosure
Josh and I are wearing two hats tonight:
1) University of Michigan
2) Learning Health Community
We will try to be a clear as possible as to
when we are wearing each one.
2
Not a “Pep Rally” This Year
3
Today’s Briefing
• The LHS Challenge
• The Role of Community in Realizing
an LHS
• A Science of Cyber-Social Learning
Systems
• The New Journal: “Learning Health
Systems”
4
Properties of a Health System That
Can Learn
Every consenting patient’s characteristics
and experience are available to learn from
Best practice knowledge is immediately
available to support decisions
Improvement is rapid and continuous through
ongoing study
An infrastructure enables this happen
routinely and with economies of scale.
All of this is part of the culture 5
The LHS is Bigger than BD2K:
It Must Do This
6
Assemble
Relevant Data
Take Action to Change
Practice
Interpret
Results
Analyze
Data
Deliver Tailored
Message
A Problem of
Interest
Decision to Study
Not This
7
Assemble
Relevant Data
Take Action to Change
Practice
Interpret
Results
Analyze
Data
Deliver Tailored
Message
A Problem of
Interest
Decision to Study
Journals?
LHS Infrastructure
A Single Socio-Technical Platform Supports
Multiple Simultaneous Learning Cycles
Different
Problems
Rapid Cycle
Slower Cycle
SUPPORTING PLATFORM
People
ProcessTechnology
Policy
The Learning Health
Community
• Evolved from the 2012 LHS Summit
• Consensus Core Values Endorsed by
91 Organizations
• Two Initiatives:
– Essential Standards to Enable Learning
(ESTEL)
– Governance
• Vision of a “Second Summit”
9
10
New Science?
• National workshop explored the
research challenges inherent in
realizing a high functioning LHS
• April, 2013: 45 invited attendees
• At the end, it was suggested that
these challenges may equate to a
new science
11
Cyber-Social Learning
Systems
As formulated by Kevin Sullivan:
• Ability to gather, integrate, and analyze
information at scale to produce new
insights, and use such insights to
continuously improve complex socio-
technical system structure, function, and
performance to meet demanding and
evolving requirements
• Is this the future of informatics?
12
Features of Cyber-Social
Learning Systems
• People, institutions, legal frameworks, etc.
are parts of computational architecture
• At ecosystem scales, traditional
engineering methods are no longer
adequate
• Systems must be self-aware, continuously
evolving, and self-governing
13
Bill Stead’s Formulation…
14
Next Steps
• The Computing Community
Consortium, NSF’s program planning
arm for computing, has given us a
“soft” green light to plan a series of
visioning workshops
• Three workshops addressing cyber-
social learning systems applied to
health and three other domains
15
A New International Journal
16
LHS Journal
• Editorial office in Ann Arbor
• Three Associate Editors
– Brendan Delaney
– Jonathan Silverstein
– Kevin Sullivan
• 46-member Editorial Board (nine
countries)
• Article types
– Research reports
– Experience reports
– Briefs
– Commentaries
17

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Learning Health System Briefing

  • 1. Learning Health System Briefing Chuck Friedman Josh Rubin AMIA Symposium November 17, 2015
  • 2. Disclosure Josh and I are wearing two hats tonight: 1) University of Michigan 2) Learning Health Community We will try to be a clear as possible as to when we are wearing each one. 2
  • 3. Not a “Pep Rally” This Year 3
  • 4. Today’s Briefing • The LHS Challenge • The Role of Community in Realizing an LHS • A Science of Cyber-Social Learning Systems • The New Journal: “Learning Health Systems” 4
  • 5. Properties of a Health System That Can Learn Every consenting patient’s characteristics and experience are available to learn from Best practice knowledge is immediately available to support decisions Improvement is rapid and continuous through ongoing study An infrastructure enables this happen routinely and with economies of scale. All of this is part of the culture 5
  • 6. The LHS is Bigger than BD2K: It Must Do This 6 Assemble Relevant Data Take Action to Change Practice Interpret Results Analyze Data Deliver Tailored Message A Problem of Interest Decision to Study
  • 7. Not This 7 Assemble Relevant Data Take Action to Change Practice Interpret Results Analyze Data Deliver Tailored Message A Problem of Interest Decision to Study Journals?
  • 8. LHS Infrastructure A Single Socio-Technical Platform Supports Multiple Simultaneous Learning Cycles Different Problems Rapid Cycle Slower Cycle SUPPORTING PLATFORM People ProcessTechnology Policy
  • 9. The Learning Health Community • Evolved from the 2012 LHS Summit • Consensus Core Values Endorsed by 91 Organizations • Two Initiatives: – Essential Standards to Enable Learning (ESTEL) – Governance • Vision of a “Second Summit” 9
  • 10. 10
  • 11. New Science? • National workshop explored the research challenges inherent in realizing a high functioning LHS • April, 2013: 45 invited attendees • At the end, it was suggested that these challenges may equate to a new science 11
  • 12. Cyber-Social Learning Systems As formulated by Kevin Sullivan: • Ability to gather, integrate, and analyze information at scale to produce new insights, and use such insights to continuously improve complex socio- technical system structure, function, and performance to meet demanding and evolving requirements • Is this the future of informatics? 12
  • 13. Features of Cyber-Social Learning Systems • People, institutions, legal frameworks, etc. are parts of computational architecture • At ecosystem scales, traditional engineering methods are no longer adequate • Systems must be self-aware, continuously evolving, and self-governing 13
  • 15. Next Steps • The Computing Community Consortium, NSF’s program planning arm for computing, has given us a “soft” green light to plan a series of visioning workshops • Three workshops addressing cyber- social learning systems applied to health and three other domains 15
  • 16. A New International Journal 16
  • 17. LHS Journal • Editorial office in Ann Arbor • Three Associate Editors – Brendan Delaney – Jonathan Silverstein – Kevin Sullivan • 46-member Editorial Board (nine countries) • Article types – Research reports – Experience reports – Briefs – Commentaries 17