2012 user's conference indivo updates
DESCRIPTION
2012 Indivo X User's Conference talk on new features included in the version 2.0 release.By Daniel Haas, Indivo X Lead ArchitectTRANSCRIPT
Intelligent Health Lab
Indivo X: Progress and Updates
Daniel Haas
Harvard Medical SchoolChildren’s Hospital Informatics Program
18 June, 2012
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Project Updates• v2.0 Release!
http://github.com/chb/indivo_[ui_]server• Public Sandbox:
http://sandbox.indivohealth.orgWith sample dataDon’t put real data in there!
• Hackathon Tomorrow!Bring your laptopsBring your ideas, and tell us now (@indivohealth)
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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
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Pluggable Document Processing
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Pluggable Validation
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Pluggable Validation
• Still accepting data as XML• Still validating with XSDs• …But now they are drag-and-drop!• Tutorials tomorrow at the hackathon
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Pluggable Transforms
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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
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Pluggable Data Models
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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
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Pluggable Retrieval
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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
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Pluggable Document Processing: Summary
• With zero python code, you can:Add a new recognized schema to IndivoMap that schema to current data models, orAdd your own new data modelMake API calls to add and retrieve data
corresponding to your new types.
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Sample Data• It’s hard to write an app against nothing!• We’ve added two mechanisms for loading
sample data into records:Demo ModeFixed sample accounts
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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!
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Demo Mode• When you create a new account, it is auto-populated
with a configurable set of records containing sample data
DEMO_MODE = TrueDEMO_PROFILES = { ‘John Doe’: ‘patient_239852’, ‘Jane Doe’: ‘patient_665677’, ‘Timmy Doe’: ‘patient_736230’, }
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Fixed Sample Accounts• When resetting Indivo, you can configure accounts to be auto-created with
specific sets of records and data
<account email='[email protected]'> <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>
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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.
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Registering an App: Manifest• SMART manifest: simple JSON describing an
app.• Extra Indivo options (has_ui, oauth_callback)
also supported.
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Registering an App: OAuth Credentials
• ‘Offline exchange’ of app tokens• Again, simple JSON
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Registering an App: The Filesystem• Directory Structure:
1 dir per app 2 files per dir
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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.py sync_apps• And you’re done!
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SMART Integration
• I’ll be back to discuss soon!