#WeAreNotWaiting Changing the way we research & innovate in - - PowerPoint PPT Presentation

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#WeAreNotWaiting Changing the way we research & innovate in - - PowerPoint PPT Presentation

Aug 16, 2022 614 likes •989 views

#WeAreNotWaiting Changing the way we research & innovate in healthcare @DanaMLewis Getting diagnosed with a chronic disease is like being struck by lightning. @DanaMLewis @DanaMLewis Food, hormones, sickness, stress Insulin, exercise,

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#WeAreNotWaiting

Changing the way we research & innovate in healthcare

@DanaMLewis

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Getting diagnosed with a chronic disease is like being struck by lightning.

@DanaMLewis

@DanaMLewis

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Food, hormones, sickness, stress Insulin, exercise, sickness, stress

@DanaMLewis

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The tools I had were not perfect….

Insulin Pump Continuous Glucose Monitor (CGM)

@DanaMLewis @DanaMLewis

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Because this is what it takes to wake me up:

@DanaMLewis

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Leaving me often with this:

@DanaMLewis

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If we can’t change existing devices… what if we could add *new* tools?

@DanaMLewis

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Enter open source (and social media).

@DanaMLewis

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From reactive to predictive: an “open loop”

@DanaMLewis

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We already have in

  • ur pockets the tools

needed for an “artificial pancreas”.

@DanaMLewis

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Components of an open source artificial pancreas

  • Continuous glucose monitor
  • Insulin pump

@DanaMLewis

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Components of an open source artificial pancreas

(Illustration by Clint Ford for Popular Science)

  • 1. Continuous glucose monitor
  • 2. Computer (“controller”)
  • 3. Battery
  • 4. Radio stick (“translator”)
  • 5. Insulin pump

@DanaMLewis

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  • 1. Read data from CGM
  • 2. Read data from pump
  • 3. Do math

about what action is needed

  • 4. Give more/less

insulin, or eat food

  • 5. Do it again.. and again... and again...

Manual diabetes:

@DanaMLewis

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  • 1. Read data from CGM
  • 2. Read data from pump
  • 3. Do math

about what action is needed

  • 4. Give more/less insulin
  • 5. Do it again.. and again... and again...

@DanaMLewis

Computer

Automated diabetes:

(human doesn’t have to pay constant attention, but still checks in from time to time)

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Before: Aft fter:

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OpenAPS “rig”

@DanaMLewis www.OpenAPS.org

(insulin pump) (continuous glucose monitor)
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#OpenAPS

is an open and transparent effort to make safe and effective basic Artificial Pancreas System (APS) technology widely available to reduce the burden of Type 1 diabetes.

@DanaMLewis

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“Well, it works for you, but....”

@DanaMLewis

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In 2016, we presented a self-reported

  • utcomes study at

#2016ADA, and also published the study.

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“Can you share your data with us?”

@DanaMLewis

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There are now(n=1)*796+ people with DIY closed loops in the world. (That’s something like

5,800,000+

hours of DIY closed loop experience.)

@DanaMLewis

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@DanaMLewis

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@DanaMLewis #2018ADA

Results: Overall

Self-crossover comparison of selected 14-day time segments +/- 4-6 weeks from OpenAPS initiation (n=20)

Control OpenAPS P-value Mean BG 135.7 (22.3) 128.3 (18.9) 0.0084 Mean Estimated HbA1c 6.4 (0.78) 6.1 (0.66) 0.0084 Time (%) below 50 1.9 (2.3) 1.1 (1.5) 0.0399 Time (%) below 70 6.0 (4.3) 4.5 (3.9) 0.1248 Time (%) in range 70 to 180 75.8 (14.9) 82.2 (11.1) 0.0042 Time (%) above 180 18.3 (13.9) 13.3 (11.1) 0.0092 Time (%) above 250 5.0 (5.4) 2.5 (3.3) 0.0138 Time (%) above 300 1.7 (2.3) 0.35 (0.57) 0.0138

Mean [SD]

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@DanaMLewis #2018ADA

Sustained improvements in average BG

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@DanaMLewis #2018ADA

@sulka script assessing changes in treatments

https://github.com/sulkaharo/oref0-tools

Pre-OpenAPS: 4.5 manual interventions/ day 2018: 0.7 manual interventions/ day (85% reduction)

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@jb jbwittmer on QOL im improvements of f #OpenAPS:

  • Annual School Nurse visits
  • 4th grade - before OpenAPS -- 420 visits (2.3/day)
  • 354 “routine” visits for pre-lunch or pre-gym checks

and decisions

  • 66 visits for hypo- or hyper-glycemic events
  • 6th grade - with OpenAPS – 5 visits (0.027/day)
  • 3 gym-class associated hypoglycemic events
  • 2 equipment malfunction (CGM/OpenAPS rig)
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Not tradit itional.. ..

  • Engineers
  • Programmers
  • Scientists
  • Researchers
  • Rocket Scientists
  • Engineers
  • Developers
  • Scientists
  • Researchers
  • Inventors

But yet we are:

@DanaMLewis

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SLIDE 28 Flickr: @gumuz

(M (Me, , anyt ytime someone says “but you’re not a _______”.)

@DanaMLewis

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Beware the patient syndrome trap:

What we know

What we think everyone else knows

Imposter syndrome:

What people think patients know

What people think ”professionals” know

What people think patients know:

HCPs researchers caregivers insurers pharma

@DanaMLewis

med device co’s government

What patients actually know:

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Traditional innovation

@DanaMLewis

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Traditional innovation User-driven innovation

@DanaMLewis

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How might the world change if we leverage these collective innovations that happen every day?

@DanaMLewis

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What happens when we enable patients to prioritize what we research and design solutions around?

@DanaMLewis

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What happens when we surface and share data openly so anyone – regardless of “role”

  • r credentials – can use it to

improve things?

@DanaMLewis

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What if we all say #WeAreNotWaiting to change the world like this?

@DanaMLewis

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#WeAreNotWaiting

to change the future of healthcare. But we can do it faster, together.

Will you help us?

#OpenAPS | @DanaMLewis | www.DIYPS.org | www.OpenAPS.org