Mentor: Himanshu Rathod
Overview: You will investigate novel user interface designs for identifying interesting patient populations for clinical research and healthcare analytics. Eureka! Clinical Analytics is a web-based software system that aims to break down the layers of IT that typically sit between electronic health record data and users of that data such as researchers and healthcare operations personnel. It aims to enable those users to define variables, computed from the source data, that are useful for their analytics or research task, an activity that typically is performed by IT intermediaries. These variables may be computed as patterns in temporal sequences and frequencies of clinical attributes (visit information, vital signs, diagnoses, etc.). These data transformation concepts are challenging to present to research and operations personnel in a web user interface.
This UI is a component of Eureka! Clinical Analytics, a federally funded web application for healthcare analytics. You can learn more about Eureka! at http://aiw.sourceforge.net.
Programming Language: Javascript, HTML, CSS, JQuery, JSP
Prerequisites: Javascript, HTML, CSS. JQuery, JSP a big plus.
Required skills – UI design.
Level of Expertise: Intermediate