Healthcare Monitoring and Management
We will develop a visual analytic environment for the communication of
information and insight from massive, disparate, and time-evolving
medical data sets. Our environment will be comprehensive,
providing analytic capabilities that enable the entire process
from receiving massive raw data, to the integration and extraction of
relevant data, to the integrated visual presentation and analysis
environment for effective planning, decision making, and response.
Coordinated Animal-Human monitoring provides an early warning system
with fewer false alarms for naturally occurring disease outbreaks,
biological attacks, and chemical attacks.
The monitoring requires the integration of this varied source data,
analyzing this data with tools that are feasible and useful at the scale of
the incoming stream, and then advanced analytic tools that monitor
the occurrence levels of indicators, trends, and diagnoses in many categories.
Our work will develop integrated visual analytic tools that take
into account the real-time aspect of the data and the need for an alarm process
that is supported by enough visual insight to
(1) keep false positives to a minimum and
(2) enable the spotting of events not previously anticipated
to keep false negatives to a minimum.
Our integrated environment will provide a unique visual analytic capability
that will provide linked temporally varying geospatial visualization
of animal and human patient health information with traditional
statistical analysis displays of this multisource data and factor analysis.
Our interface will also not only have a "health dashboard" display for monitoring,
but will also have a factor and hypothesis specification/filtering
component to allow exploration of causal factors and spread patterns.
Healthcare Management in Crisis Situations
Recent natural disasters have shown that state healthcare systems
are not prepared to respond to and manage the influx of patients,
needs, and data resulting from a catastrophic event.
We need to be prepared for all types of catastrophic events,
including biological, chemical, nuclear, and small- and large-scale natural disasters.
Therefore, we will utilize our existing partnership
with the State of Indiana to develop database, visual analysis,
and modeling tools to prepare and manage healthcare in crisis situations.
A key component for the planning and management is surge capacity modeling and
developing an accurate database of capabilities,
capacities, and disease/event health demands.
Our experience and model from Indiana will serve as a national prototype.
Zoonotic Syndromic Surveillance
LAHVA: Linked Animal and Human Visual Analytics for Healthcare Surveillance