Page Comparison

Project: Medical Disaster Response

Objectives: Implement voice-based input/output modalities for a Disaster response system for Raxa

Reason: Disasters, ranging from medical disasters such as cholera or malaria, to earthquakes, floods, etc. require immediate response, access to information, etc. The objective is to adapt disaster management tools into the Raxa structure, with to implement voice-based mechanisms for populating the information databases in it via human input, in addition to current methods, as well as voice-based responses.

Used Technologies: Open source disaster response tools from sahanafoundation.org, open source speech recognition, synthesis and dialog system tools.,Ushahidi

Primary Mentor: Bhiksha raj

Secondary Mentor: Rita Singh

Project: UI for Raxa EMR Analytics and Reporting

Objectives: To create an intuitive, beautiful, and easy-to-use interface for accessing information about the relationships between disease prevalence, geography, demography, the seasonality of illnesses and other contributing factors to health.

Reason: To make healthcare information meaningful, useful and effective in the service of providing better levels of care, providers need to quickly, conveniently access and analyze the data captured in an EMR. The objective is better evaluate treatment protocols, staged interventions and physician responsiveness to the leading causes of morbidity and mortality.

Used Technologies: Open source technologies such as Pentaho, I2B2, Sencha Touch Charts, Greenplum Chorus

Primary Mentor: Daniel Pepper

Secondary Mentor: Shuro Nundy

Project: Disease Prediction via Machine Learning Algorithms

Brief explanation: Clinical data-warehouse that will store all information about the diseases occurred in a particular area, let say Bilaspur district of Chhattisgarh region where this system will be deployed. Understanding the pattern of disease, number of times a particular disease has occurred, reason why it occurred, preventive methods that doctors could implement in order to prevent the disease if it occurs next time. This will not only help in giving the best medical services in remote areas but also help administrators, doctors to be well prepared in advance to tackle the emergence of any kind of disease.

Used Technologies: TBD

Mentor: Suhas Deshpande