Mission: Find insights that are easy to understand, easy to explain, and easy to apply in databases.

What is Visual Analytics? 

Visual analytics is a very powerful approach to detect the expected but more importantly to discover the unexpected; explore raw data so we can understand the data and understand the characteristics. The data will show us a true understanding of what is going on with the patient(s). For example with patient admissions, we can see the number of admissions and other patients who can be frequent visitors to a given Hospital. Using color it can be shown how a patient can be admitted to multiple hospital buildings. Visual analytics has the ability to an admissions graph to show when a patient has been infected with a healthcare-associated infection compared to other patients. 

Geo-temporal Visual Analytics of patients and their contacts moving in and out of the hospital. This allows for management of geolocation, filtering of data and querying individual patients; able to see who the patient has been in contact with and knowing his past locations. Visual Analytics provides practical means of exploring analyzing and understanding large and complex raw data sets of patient information. there is a high level of difficulty when trying to understand and analyze data in its raw spreadsheet form. Visualization is essential for analyzing inherently no-nvisual spreadsheets. Geo-temporal visualization is essential and in its more specialized form such as providing effective and intuitive means for exploring data to detect trends, clusters and recurring events.