2012 Indivo X User's Conference talk on new features included in the version 2.0 release. By Daniel Haas, Indivo X Lead Architect

1. Intelligent Health Lab
Indivo X:
Progress and Updates
Daniel Haas
Harvard Medical School
Children’s Hospital Informatics Program
18 June, 2012

2. Intelligent Health Lab
Project Updates
• v2.0 Release!
http://github.com/chb/indivo_[ui_]server
• Public Sandbox:
http://sandbox.indivohealth.org
With sample data
Don’t put real data in there!
• Hackathon Tomorrow!
Bring your laptops
Bring your ideas, and tell us now (@indivohealth)

3. Intelligent Health Lab
Development Updates
• Pluggable Data models (and schemas and
transforms)
• Data model validation
• Sample Data (and demo mode)
• New app loading mechanism (using SMART
manifests)
• New Python Client (with documentation)
• More support for JSON/RDF
• New authentication modes for apps
• SMART integration

4. Intelligent Health Lab
Pluggable Document Processing

5. Intelligent Health Lab
Pluggable Validation

6. Intelligent Health Lab
Pluggable Validation
• Still accepting data as XML
• Still validating with XSDs
• …But now they are drag-and-drop!
• Tutorials tomorrow at the hackathon

7. Intelligent Health Lab
Pluggable Transforms

8. Intelligent Health Lab
Pluggable Transforms
• Goal of a Transform: get from an XML document
to an Indivo Fact
• Formats: XSLT or Python code
• …And now they are drag-and-drop!
• Tutorials tomorrow at the hackathon

9. Intelligent Health Lab
Pluggable Data Models

10. Intelligent Health Lab
Pluggable Data Models
• SDML: a simple descriptive language for data-
models.
• Define your data models: SDML or Django
• …And add them (you guessed it: drag-and-drop!)
• Tutorials tomorrow at the hackathon

11. Intelligent Health Lab
Pluggable Retrieval

12. Intelligent Health Lab
Pluggable Retrieval
• Automatic reporting call which retrieves your data as SDML: no
work required.
• Python plug-ins:
 Custom serialization (what does your model look like in JSON? XML?)
 Custom reports (want an API call to return multiple data models at
once?)
• Drag-and-drop serializers (not custom reports, sorry)
• Tutorials tomorrow at the hackathon

13. Intelligent Health Lab
Pluggable Document Processing:
Summary
• With zero python code, you can:
Add a new recognized schema to Indivo
Map that schema to current data models, or
Add your own new data model
Make API calls to add and retrieve data
corresponding to your new types.

14. Intelligent Health Lab
Sample Data
• It’s hard to write an app against nothing!
• We’ve added two mechanisms for loading
sample data into records:
Demo Mode
Fixed sample accounts

15. Intelligent Health Lab
Sample Data: Format
• “Sample data” is a directory of data profiles.
• A “data profile” is a directory of documents
containing data (for one patient).
• A “data profile” should have a
Demographics.xml file.
• A “patient” is identified by the name of the
directory
• And that’s it!

16. Intelligent Health Lab
Demo Mode
• When you create a new account, it is auto-
populated with a configurable set of records
containing sample data
DEMO_MODE =True
DEMO_PROFILES = {
‘John Doe’: ‘patient_239852’,
‘Jane Doe’: ‘patient_665677’,
‘Timmy Doe’: ‘patient_736230’,
}

17. Intelligent Health Lab
Fixed Sample Accounts
• When resetting Indivo, you can configure accounts to be auto-created with
specific sets of records and data
<account email='test@test.org'>
<full_name>Test User</full_name>
<username>test</username>
<password>test</password>
<records>
<record label='Test Testerson' data_profile='patient_967332'/>
<record label='Mary Testerson' data_profile='patient_897185'/>
<record label='Fred Testerson' data_profile='patient_880378'/>
</records>
</account>

18. Intelligent Health Lab
Updating and Adding Registered Apps
• Previously: had to reset the whole Indivo
database
• Now: drag-and-drop into the filesystem
• We think this is nicer.

19. Intelligent Health Lab
Registering an App: Manifest
• SMART manifest: simple JSON describing an
app.
• Extra Indivo options (has_ui, oauth_callback)
also supported.

20. Intelligent Health Lab
Registering an App: OAuth Credentials
• ‘Offline exchange’ of app tokens
• Again, simple JSON

21. Intelligent Health Lab
Registering an App: The Filesystem
• Directory Structure:
 1 dir per app
 2 files per dir

22. Intelligent Health Lab
Pulling it all together
• Write (or update) a manifest file
• Write (or update) a credentials file
• Drop the new files into a directory for your
app, and place it under
indivo_server/registered_apps/user/
• Run one command:
$ python manage.pysync_apps
• And you’re done!

23. Intelligent Health Lab
SMART Integration
• I’ll be back to discuss soon!