Common Ground: An Interactive Visual Exploration and Discovery for Complex Health Data

Abstract

The overarching objective of this work is to develop a novel, user-centric visual paradigm aimed at enhancing situational awareness by providing a clear, concise and effective visualization of large, complex and heterogeneous population health data. The project represents collaboration at the University of Utah between the Scientific Computing and Imaging Institute, the Department of Pediatrics, the Department of Medicine and the Department of Biomedical Informatics. To inform the design of our system, we conducted contextual interviews with experts in the domain of infectious disease epidemiology and population health. We created a database containing over 300,000 encounters (2007-2008) using data from Intermountain Healthcare and developed an ontology for the medical findings in this dataset. We successfully developed a novel software system, named Common Ground, which extends the concept of a disease weather map we developed in a prior project. The system enables users to visually explore and analyze a set of medical findings associated with encounters over a selected period of time. We released Common Ground as a free open source under the most permissive MIT license.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
AD1016360

Entities

People

  • Adi Gundlapalli
  • Per Gesteland
  • Yarden Livnat

Organizations

  • University of Utah

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Biomedical Research
  • Databases
  • Delivery Of Health Care
  • Diseases And Disorders
  • Health
  • Health Care
  • Health Services
  • Infectious Diseases
  • Machine Learning
  • Medical Personnel
  • Meteorological Charts
  • Ontologies
  • Pain
  • Public Health
  • Respiration Disorders
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Medical or Health Care Field.

Technology Areas

  • Biotechnology