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DIY Diabetes:
Lessons for Healthcare
Joyce Lee, MD, MPH
Robert Kelch Professor of Pediatrics
University of Michigan
http://www.doctorasdesigner.com/
@joyclee
Disclosures
None
@joyclee
@joyclee
What have we learned from
the Nightscout Project?
@joyclee
@joyclee
Lesson #1: Individuals with Diabetes and their Caregivers
have expertise and increasing autonomy
@joyclee
#WeAreNotWaiting
…while our endocrinologist tries to
assemble the disjointed pieces of the
data puzzle
…for regulators to regulate
…for device manufacturers to
innovate
…for peace of mind that our children
with type 1 diabetes are safe
@joyclee
While using OpenAPS, self-
reported median HbA1c dropped
from 7.1% to 6.2%, and median
percent time in range (80-180
mg/dL) increased from 58% to 81%
Nightscout Open APS
@joyclee
“All but one respondent reported
some improvement in sleep
quality, and 56% reported a large
improvement. Users were
extremely satisfied with the “life-
changing” improvements
associated with using an APS."
Nightscout Open APS
@joyclee
Lesson #2:
We cannot ignore and/or underestimate the importance
of social media for supporting and creating health @joyclee
21. France
22. Netherlands
23. New Zealand
24. Mexico
25. Croatia
26. South Africa
27. Israel
28. Japan
29. Switzerland
30. Hungary
31. Belarus
29,000+
Int’l
11. Australia
12. Portugal
13. Denmark
14. Germany/Austria
15. Turkey
16. Russia
17. Romania
18. Korea
19. Ireland
20. Brasil
55,000+
worldwide
@joyclee
1. Italy
2. UK
3. Spain
4. Sweden
5. Bulgaria
6. Norway
7. Poland
8. Czech+Slovakia
9. Canada
10. Finland
@joyclee
@joyclee
26,000
4700
Online community or
Healthcare delivery system?
4100
@joyclee
@joyclee
Lesson #3: We must learn from the community about large-scale
health production created through human cooperation and
collaboration
Leadership Team Support Team Core Development Team
@joyclee
A code “repository” where programmers
store their files for a project
Platform that supports collaboration
Social Network
@joyclee
Owner(s)
Write code &
publish on Github
“Master” code is
“forked” and
downloaded
Uses the code as-is
Edits/modifies code
to improve it or add
features
Suggests a
change
Approves change &
“commits” to
master
User Contributor
@joyclee
Nightscout
NS
OpenAPS
Loopkit
@joyclee
@joyclee
Open Source Software/Hardware
Anyone can access and modify the code
There is transparency about who is editing the code
Goal is to create “high quality programs" and to "work cooperatively
with other similarly minded people" to improve open-source
technology
@joyclee
Forks (Users) Contributors Commits
NS 17,068 93 4505
xDrip 165 5 219
openAPS 236 69 2962
Loopkit 311 22 996
@joyclee
What were the consequences for innovation?
A greater number of products that fully meet user needs
Acceleration in the Pace of Innovation
Decreased Cost of Innovation
@joyclee
How do you get your CGM in the Cloud?
@joyclee
What were the consequences for innovation?
A greater number of products that fully meet user needs
Acceleration in the Pace of Innovation
Decreased Cost of Innovation
@joyclee
Nightscout
Nightscout Innovations
@joyclee
• Remote BG access
on laptop & mobile
• More portable rig
• Access on Pebble
watch
• Treatment
recommendations
• Move to Open Source
• Alerts for “stale” data
& errors
• Option to use in mmol
• CarePortal data
pushed to mobile
• “Cone of Confidence”
BG prediction
• Calibration BG display
• Custom BG alerts
• BG delta display
• “Hover” view for
CarePortal
• Option to use
Medtronic sensor
• Raw data display
• IOB & signal quality
indicators
• Predictive alerts
• Temp. basal display
& suggestions
• openAPS integration
• Bolus calculator
• Insulin & sensor age
UI displays
• Daily stats
• Alexa integration
• Improved loading
• Less data usage
• Improved AP
visualizations
• Back-end
improvements
Nightscout
Nightscout Innovations
@joyclee
• DexDrip transmits
directly from sensor
to mobile phone
• Raw data display
• Eliminates Dexcom
receiver & cables
• Direct uploading
from Share
• Homescreen
widgets
• Improved Bluetooth
connection
• Custom alerts &
snoozes
• Stats & reports
• Backend
improvements
• Raw data available
on Smartwatch
• Integration with G5
• Improved signal
stability
• Delete alarms
Xdrip Innovations
Nightscout Xdrip
@joyclee
• Treatment
recommendations based
on pump & CGM data
• Pushes to Pebble watch
• Nightscout integration
• Loop is closed
• Advanced meal assist
• Auto-Sensitivity feature
openAPS Innovations
Nightscout openAPSXdrip
@joyclee
10
16 19
24
28
38
54
61
0
10
20
30
40
50
60
70
NS has incorporated ~ 51 new features beyond just “remote monitoring” and is on
its 8th major software rollout
Dexcom incorporated ~13 novel features and 5 new platform rollouts in that time
span
New features
DIY vs. Commercial
Innovation Timeline
What were the consequences for innovation?
A greater number of products that fully meet user needs
Acceleration in the Pace of Innovation
Decreased Cost of Innovation
@joyclee
Forks (Users) Contributors Commits
NS 17,068 93 4505
xDrip 165 5 219
openAPS 236 69 2962
Loopkit 311 22 996
@joyclee
Lead User Innovation (Eric von Hippel)
Lead users are individuals or organizations who have experienced needs for a
given innovation earlier than the majority of the target market
@joyclee
Stage 1 Stage 2 Stage 3
Lead User Innovation Process
Product
Innovation
Lead users develop
their own product
innovations
Lead users are part of
communities where
they learn, share, and
borrow from
contributions of others
Lead users test their
product innovations
on a small scale
Enterprise Product
Development
More Products Sold
More Revenue
Greater Inventiveness of Product
@joyclee
Open Innovation
@joyclee
How do we support lead user/open innovation in
other arenas of diabetes?
@joyclee
Clinical Innovation
@joyclee
Platform = OpenHumans.org
Open Science
Projects or “IRB-covered Research Projects”
Participants decide with whom to share their data
De-identified data, but capacity for messaging participants
Governance
Data is “owned” by the community
Academic researchers are a beneficiary of data donation
Community Partners and the NS Foundation to drive
communications and engagement
https://www.openhumans.org/activity/nightscout-data-commons/
Research Innovation
@joyclee
Aim: To compare percentage time in range for individuals glycemic
control in patients with type 1 diabetes who follow a very low
carbohydrate diet (≤30 g/day) compared with a higher carbohydrate diet
or low carbohydrate diet (30 – 130 g/day) and normal compared to those
who follow no low carbohydrate diet (> 130 g/day).
Complete survey, 24-hour dietary recall tool
Submit CGM, Pump, Meter data
@joyclee
@joyclee
Lesson #1: Individuals with Diabetes and their Caregivers have
expertise and increasing autonomy
Lesson #2: We cannot ignore and/or underestimate the
importance of social media for supporting and creating health
Lesson #3: We must learn from the community about large-
scale health production created through human cooperation
and collaboration
What can we learn from Nightscout?
@joyclee
@joyclee
Emily Borst, MS, conducted the innovation research
CGM in the Cloud Community, Etiowo Usoro, Ben West, Dana Lewis, John Costik,
James Wedding, Weston Nordgren, Ken Stack, Emily Hirschfeld, Ashley Garrity, Jacob
Dwyer, Sarah Clark, Mark Newman, Nancy Benovich Gilby, Liz Kaziunas, Sylvia Lindtner,
George Albercook, PCORI
It takes a Virtual Village
doctorasdesigner.com
@joyclee
medium.com/@joyclee
Nightscout openAPSXdrip
Nightscout Xdrip openAPS Innovations
@joyclee

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DIY Diabetes: Lessons for Healthcare

  • 1. DIY Diabetes: Lessons for Healthcare Joyce Lee, MD, MPH Robert Kelch Professor of Pediatrics University of Michigan http://www.doctorasdesigner.com/ @joyclee
  • 4. What have we learned from the Nightscout Project? @joyclee
  • 6. Lesson #1: Individuals with Diabetes and their Caregivers have expertise and increasing autonomy @joyclee
  • 7. #WeAreNotWaiting …while our endocrinologist tries to assemble the disjointed pieces of the data puzzle …for regulators to regulate …for device manufacturers to innovate …for peace of mind that our children with type 1 diabetes are safe @joyclee
  • 8. While using OpenAPS, self- reported median HbA1c dropped from 7.1% to 6.2%, and median percent time in range (80-180 mg/dL) increased from 58% to 81% Nightscout Open APS @joyclee
  • 9. “All but one respondent reported some improvement in sleep quality, and 56% reported a large improvement. Users were extremely satisfied with the “life- changing” improvements associated with using an APS." Nightscout Open APS @joyclee
  • 10. Lesson #2: We cannot ignore and/or underestimate the importance of social media for supporting and creating health @joyclee
  • 11. 21. France 22. Netherlands 23. New Zealand 24. Mexico 25. Croatia 26. South Africa 27. Israel 28. Japan 29. Switzerland 30. Hungary 31. Belarus 29,000+ Int’l 11. Australia 12. Portugal 13. Denmark 14. Germany/Austria 15. Turkey 16. Russia 17. Romania 18. Korea 19. Ireland 20. Brasil 55,000+ worldwide @joyclee 1. Italy 2. UK 3. Spain 4. Sweden 5. Bulgaria 6. Norway 7. Poland 8. Czech+Slovakia 9. Canada 10. Finland
  • 14. 26,000 4700 Online community or Healthcare delivery system? 4100 @joyclee
  • 15. @joyclee Lesson #3: We must learn from the community about large-scale health production created through human cooperation and collaboration
  • 16. Leadership Team Support Team Core Development Team @joyclee
  • 17. A code “repository” where programmers store their files for a project Platform that supports collaboration Social Network @joyclee
  • 18. Owner(s) Write code & publish on Github “Master” code is “forked” and downloaded Uses the code as-is Edits/modifies code to improve it or add features Suggests a change Approves change & “commits” to master User Contributor @joyclee
  • 21. Open Source Software/Hardware Anyone can access and modify the code There is transparency about who is editing the code Goal is to create “high quality programs" and to "work cooperatively with other similarly minded people" to improve open-source technology @joyclee
  • 22. Forks (Users) Contributors Commits NS 17,068 93 4505 xDrip 165 5 219 openAPS 236 69 2962 Loopkit 311 22 996 @joyclee
  • 23. What were the consequences for innovation? A greater number of products that fully meet user needs Acceleration in the Pace of Innovation Decreased Cost of Innovation @joyclee
  • 24. How do you get your CGM in the Cloud? @joyclee
  • 25. What were the consequences for innovation? A greater number of products that fully meet user needs Acceleration in the Pace of Innovation Decreased Cost of Innovation @joyclee
  • 27. • Remote BG access on laptop & mobile • More portable rig • Access on Pebble watch • Treatment recommendations • Move to Open Source • Alerts for “stale” data & errors • Option to use in mmol • CarePortal data pushed to mobile • “Cone of Confidence” BG prediction • Calibration BG display • Custom BG alerts • BG delta display • “Hover” view for CarePortal • Option to use Medtronic sensor • Raw data display • IOB & signal quality indicators • Predictive alerts • Temp. basal display & suggestions • openAPS integration • Bolus calculator • Insulin & sensor age UI displays • Daily stats • Alexa integration • Improved loading • Less data usage • Improved AP visualizations • Back-end improvements Nightscout Nightscout Innovations @joyclee
  • 28. • DexDrip transmits directly from sensor to mobile phone • Raw data display • Eliminates Dexcom receiver & cables • Direct uploading from Share • Homescreen widgets • Improved Bluetooth connection • Custom alerts & snoozes • Stats & reports • Backend improvements • Raw data available on Smartwatch • Integration with G5 • Improved signal stability • Delete alarms Xdrip Innovations Nightscout Xdrip @joyclee
  • 29. • Treatment recommendations based on pump & CGM data • Pushes to Pebble watch • Nightscout integration • Loop is closed • Advanced meal assist • Auto-Sensitivity feature openAPS Innovations Nightscout openAPSXdrip @joyclee
  • 30. 10 16 19 24 28 38 54 61 0 10 20 30 40 50 60 70 NS has incorporated ~ 51 new features beyond just “remote monitoring” and is on its 8th major software rollout Dexcom incorporated ~13 novel features and 5 new platform rollouts in that time span New features
  • 32. What were the consequences for innovation? A greater number of products that fully meet user needs Acceleration in the Pace of Innovation Decreased Cost of Innovation @joyclee
  • 33. Forks (Users) Contributors Commits NS 17,068 93 4505 xDrip 165 5 219 openAPS 236 69 2962 Loopkit 311 22 996 @joyclee
  • 34. Lead User Innovation (Eric von Hippel) Lead users are individuals or organizations who have experienced needs for a given innovation earlier than the majority of the target market @joyclee
  • 35. Stage 1 Stage 2 Stage 3 Lead User Innovation Process Product Innovation Lead users develop their own product innovations Lead users are part of communities where they learn, share, and borrow from contributions of others Lead users test their product innovations on a small scale Enterprise Product Development More Products Sold More Revenue Greater Inventiveness of Product @joyclee
  • 37. How do we support lead user/open innovation in other arenas of diabetes? @joyclee
  • 39. Platform = OpenHumans.org Open Science Projects or “IRB-covered Research Projects” Participants decide with whom to share their data De-identified data, but capacity for messaging participants Governance Data is “owned” by the community Academic researchers are a beneficiary of data donation Community Partners and the NS Foundation to drive communications and engagement https://www.openhumans.org/activity/nightscout-data-commons/ Research Innovation @joyclee
  • 40. Aim: To compare percentage time in range for individuals glycemic control in patients with type 1 diabetes who follow a very low carbohydrate diet (≤30 g/day) compared with a higher carbohydrate diet or low carbohydrate diet (30 – 130 g/day) and normal compared to those who follow no low carbohydrate diet (> 130 g/day). Complete survey, 24-hour dietary recall tool Submit CGM, Pump, Meter data @joyclee
  • 42. Lesson #1: Individuals with Diabetes and their Caregivers have expertise and increasing autonomy Lesson #2: We cannot ignore and/or underestimate the importance of social media for supporting and creating health Lesson #3: We must learn from the community about large- scale health production created through human cooperation and collaboration What can we learn from Nightscout? @joyclee
  • 44. Emily Borst, MS, conducted the innovation research CGM in the Cloud Community, Etiowo Usoro, Ben West, Dana Lewis, John Costik, James Wedding, Weston Nordgren, Ken Stack, Emily Hirschfeld, Ashley Garrity, Jacob Dwyer, Sarah Clark, Mark Newman, Nancy Benovich Gilby, Liz Kaziunas, Sylvia Lindtner, George Albercook, PCORI It takes a Virtual Village doctorasdesigner.com @joyclee medium.com/@joyclee
  • 45. Nightscout openAPSXdrip Nightscout Xdrip openAPS Innovations @joyclee