Fidelity of Care
Circa 2011 Despite many novel applications of technology to the medical field, therapies for chronic disease lacks enough transparency and credibility to humanely empower users to manage therapy.
- proxy modem: beaglebone + 3g modem + glucomter or insulin pump
- securely proxy big data health services in the cloud Let's have a market place auction for the best features, not for access, and not for safety. The user always retains complete control over their devices, and their data.
Diabetes Data Bus
There's a rising notion of a diabetes data bus. A system which integrates data collected from a variety of systems, and communicates that data to authorized users. In addition, this infrastructure would support agents from an expert systems presenting analyses and simulations of expected results.
Diabetics own multiple mobile computers that record biometric data on a regular basis. This typically includes a menagerie of glucometers, of which I own at least 5, 2 of which are in active rotation at any given time. I also use an insulin pump, like many diabetics, and it keeps logs of insulin given, as well as performs opaque simulations on expected results. In addition, there are ancillary devices that measure interstitial glucose levels on a real-time basis, as well as pedometers, sleep monitors, and the list goes on ad nauseum.
With so many sources of data critical to managing medical therapy, it is impossible to predict the new sources of data that will arise. It's also impossible to replace all the existing devices with new devices that are designed to cooperate with one another. However, all existing devices have a serial port with which an authorized agent can communicate with the device in order to audit therapeutic details. Therefore, it's much easier to adapt existing devices into a common framework that knows how to present data to expert systems, knows how to store data over time, and knows how to keep the user connected to that data in ways that allow better decision making.
Despite all the data currently logged by devices, how much of it is leveraged to drive ongoing decisions? The proprietary software offered by medical industry offers snapshots of interesting data from the past, and then asks the user to manually fill in any missing data. Each manufacturer offers a perspective that their software knows everything about managing diabetes, and in so doing fails to offer a holistic perspective on therapy.
Instead, a data bus accepts input from a variety of sources, aggregates it with other available sources, and makes it available to the user at any time and any place. The user can choose which applications can subscribe to data, as well as re-route and transform data into those applications. Indivo already provides the container for aggregating a user's data with customizable schema types. Cube offers a great presentation engine for arbitrary data. When the two are tweaked to manage the data from diabetic therapy, we have a diabetic data bus.
Many parts, loosely coupled.
Join one of our mailing lists:
medevice For anyone wanting to increase the fidelity of their therapy using their skills and resources. We have many projects, one of them probably your kind of project.
medical-device-users Participate in developing advocacy to help share what and why we are doing.
insulaudit - for hacking insulaudit: discussion of python and features
We need people of all stripes, from linux kernel hacking, to graphic design.
Add your visualization here!
If you've created a visualization, add it to the list. Include some sort of self-attribution.
- http://jebeck.github.com/blog/2012/10/12/lessons-learned-from-100/ Simply, excellent: love the heatmaps, and the classifications here Need ports to d3.js, or alteneratively [python?] daemon to serve results rendered by R.
- diabetes_vis: github rails src, demo
For new devices, and to audit old devices.
- proxy modem: beaglebone + 3g modem + glucomter or insulin pump Includes pictures of working beaglebone, orchestrating the "data bus" between several connected devices, and the internet at large.
- insulware - mash up beaglebone, meta-insulaudit, and insulaudit altogether in one package to audit gucometers over the internet using 3G!
- registration scripts - demo app to send SMS messages for registered users to [insulware]
insulaudit in the cloud Considering extending gitolite. ssh based application that sets up a transport, then uses insulaudit or related tools.
open embed h8 stub for giggles
List your hardware designs here. Reference designs for pumps, sensors, meters, connectors, etc...
- reference infusion pump design
- reference meter design
Assume you have a bunch of decentralized "agents," implemented in many languages, and all have data to report.
We'll need bits of the following types of software tailored for use by a diabetic data bus:
If you've got software to keep records, allow read/write access to them, add it to the list.
- asset management/inventory
basic auditing/accounting/record keeping
- authorization and authentication
transport-independence - orchestrate which sockets, ports to use, etc.
manageBGL pump simulator and data visualization with API
Adapters for other web services: glucosurfer, sugarstats, VISTA OSEHRA, INDIVO/SMART (CHIP), [@netspective], others?
Also see ABBI: http://wiki.siframework.org/ABBI+Pull+Workgroup for OAUTH based transport.
- Sanguine is an app already "in the wild", it should be able to either poll one of our compatible servers and fetch/store medical records and annotations.
- opendatabetes - an open standard for recording/sharing diabetes data - very early days
- indivo python/django friendly
Stats, predictive algorithms (so we can actually measure what we are always implicitly predicting), the works.
If you've got a project that analyzes glucose, or insulin or similar data, add it to the list:
- DUBS -- dubs is about understanding past and ongoing therapy by performing simulations to measure what were previously hidden and implicit expectations.
The data on these devices belongs to us. Let's get audit the data:
- insulaudit - this project consumes many libraries to re-format data in a prefered format
These projects collect packet captures, provide tests suites, and tools to communicate with medical devices. Application authors can use these tools to analyze and debug devices, exercise their decoding skills, or contribute to language-independent test suites, or even help implement the protocols.
Unit tests, docs, protocol schematics, ports to other languages.
Help with the "decoder rings," some have data available, ready to analyze, some need captures!
Git based medical record?
Would solve transport and versioning issues.
git-phr- if only!
- gallery of visualizations, gist-based? proposed:
databetics.com/ -> here (medevice/diabetes) databetics.com/visual/ -> here (medevice/diabetes/visual) databetics.com/formats/ -> damon's databetes? databetics.com/projects/ -> better list of projects we actually commit on short term projects: iPancreas: re-usable, blog-posting tool visualizations: need to make it easy for more people to make graphs and charts, to iterate on UI, etc... this is essentially UI development broken down, feature by feature insulaudit: pumping data out so that sanguine, ipancreas and others can consume, pushing support for more devices, implementing in other languages?
- gallery of advocacy, or maybe a "planet" style aggregator, with diabetesmine at the helm?
- docs, and technical writing
- templating for nice reports such as Jana's, we need to make it easy to produce documents to share like that.
Mostly personal loggers.
- apple https://github.com/kamexy/GlucoseLogger
- apple https://github.com/mstoth/GlucoseReader
- java https://github.com/jccgit/GlucoseTracker
- model of insulin and glucose
- MS https://github.com/kmoormann/ScarlettsDiabetesMobileLog
- iphone app https://github.com/bslayton/glu-iphone
- python https://github.com/onelson/mreader
- rails https://github.com/HaKr/diabetesdiary
- python... https://github.com/onelson/mreader
- linux/gtk https://github.com/flupzor/glucosemeter
- MS web app https://github.com/healthmonitor/HealthMonitoringSystem
- rails https://github.com/HaKr/diabetesdiary
- rails https://github.com/flugsio/rails-glucosejournal
- android https://github.com/flugsio/android-glucosejournal
- accucheck schematics https://github.com/techniker/OpenACCPplus
- schematics https://github.com/techniker/OpenWeCalla
- formatting https://github.com/nezt/hl72xml/blob/master/python_src/sendHL7.py
- SMART App https://github.com/arjunsanyal/smart_hv_merge_app
- "TCL is a great language for processing HL7 messages" https://github.com/jamerfort/tclhl7
- documenting what we've done for the FDA/creating a suite of IP-free technology requires documentation!
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