This document discusses new technologies that aim to help children with diabetes better manage their condition. It describes features of an automated diabetes management system called Nightscout that collects data from continuous glucose monitors and insulin pumps to provide real-time insights and customized alerts. The document also discusses open source projects like OpenAPS that build on Nightscout by integrating additional devices to partially automate insulin delivery based on glucose data and user preferences. Overall, the technologies discussed analyze diabetes data in real-time to help patients spend more time in safe glucose ranges and receive timely notifications to potentially address low or high blood sugar levels before they occur.
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A Day in the Loop with Nightscout
1. A Day in the Loop
Children with Diabetes
Focus on Technology
September, 2015
2. A Day in the Loop
with
Children with Diabetes, Focus on Technology, September 2015
Jason Calabrese
@jasoncalabrese
Ali Mazaheri
@AliMazaheri
Ben West
@bewestisdoing
3. What ifâŠ
â You could be notified of a Low or High
before it happened
â More time was spent in range and lower
A1Câs became normal
â Communication between everyone providing
care was optimized
â All your DData was analyzed in real-time, and
customized notifications and alarms were
reliably pushed to all your devices
4. Easy as 123? not reallyâŠ
we need to feed the system⊠lots of DData
9. Dev goes international
Sulka Haro
Bolus Wizard Preview, Cannula Age
Helsinki, Finland
Milos Kozak
Translations, Reports, Profile
Editor, Bolus Calculator (soon)
Prague, Czech Republic
⊠and the many translators that added support for all 15
languages, and learned to use GitHub in the process
10. Bolus Wizard Preview
Sulka Haro: âThe original motivation for BWP came from - my wife told me at some point that she'd
started to enter the CGM value into the pump to get the bolus calculation from the pump, to get data on
how to act. Which sounded smart but awkward.â
14. Nightscout is part of an
âOpen Loopâ, but so are You
â Itâs not always easy being in the loop
â Spend time adjusting the settings to fit your
needs, for example adjusting night time
correction targets.
â You can offload some work to the machines,
but you have to provide the data and
configure the system
â Donât blame the Alarms, blame Diabetes,
then adjust your settingsâŠ
15. Monitor
Remote CGM, Device
Status, Care Portal
Treatments
Predict
AR2 & IOB-COB
Forecasting, Bolus
Wizard Preview,
Tuning Basals
Control
Decocare, RileyLink,
CareLink, Raspberry Pi
#OpenAPS
16. openaps: open source toolkit
â Understands Medtronic and Dexcom
â Reproducibility: can automate getting data
from Medtronic and Dexcom every 5
minutes
â Provenance: tracks all changes made to
data, including software used
â Configurability: only does what user tells it,
no black boxes.
17. openaps: What does it look like?
â Dexcom
â Medtronic
â Raspberrypi
â Pebble
â Nightscout
20. openaps: Do we want more?
What are the financial,
emotional, social, political
costs of these projects to the
people who undertake them?
What is the equivalency of
control and ownership of new
devices compared to the old
ones?
22. RileyLink
Connects your phone to your pump using Bluetooth
Low-Energy.
Now: Get Medtronic & Enlite data (BG, IOB, Meter) into NS.
Soon: OpenAPS gets increased range and shrinks in size.