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Patient-Facing Module

We are creating an interface for patients to our Health Information System that is lightweight and mobile, informative and responsive but most of all, gives agency and is empowering.  Our patients have a heterogenous mix of educational and economic capabilities as well as a large variation in educational and economic resources.  A large proportion of them are functionally illiterate (they cannot read or write their name) and many of the rest are not conversant with computer interfaces.  However, most of them have mobile phones that are becoming more "smart" every day which run on government-sponsored cellular data networks and they all have a growing appreciation for relevant information that is made accessible to them.  To enhance benefit delivery, huge government initiatives in India are now providing each patient with universal identification and exposing authentication services.  We will try very hard to use artificial intelligence methods to span this last but very important gap in bandwidth between device and human brain.  We believe that this effort is not only socially useful but also intellectually interesting and welcome ideas to take this forward.

A few ideas to start this conversation off are:-
1.  Patient Voice recognition of (in this case, Chattisgarhi) rural dialects connected with action engines (e.g. Siri, Google Voice + App Engine)
2.  Decision support and notifications.


3. Voice recognition -- identifies the speaker (e.g. using open source tools like CMU Sphinx)