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SMART Diabetes Logbook: Clinican App

Arjun Sanyal [email protected]

See the SMART Diabetes Logbook: Patient App README for an overview of the "merge" app concept and complete details of both the patient and clinican facing apps.

This is the clinican-facing side of the SMART Diabetes Logbook pair of apps. It implements a simple SMART REST app that establishes a connection between a patient record in a SMART container and a patient record in Microsoft HealthVault using the HealthVault [Patient Connect][] API. Each connection request is stored in a persisent SQLite database and is later updated with the HealthVault patient and record ids by a polling script.

Once the connection is established it shows a set of patient-reported data from the HealthVault record and clinical data from the SMART record in one combined interface.

Patient Connect

TODO

  • Create a second "mappings" table and don't overload requests

Requirements

  • Python 2.7 or above

  • SQLite3

  • Python Modules

    • flask
    • lxml
    • pycrypto
    • rdflib
    • rdfextras

Setup and Running

  • After cloning do: git submodule update --init --recursive
  • To setup: python bin/setup.py to create the SQLite3 request database in /data
  • To run on port 8000: python wsgi.py
  • Then log in to the SMART container e.g. http://sandbox.smartplatforms.org
  • Launch the "My App" app, which will point at your locally hosted version of this app running on port 8000