Patterns of Emergency Care Utilization by Chronically Ill

Authors

  • Yue Wang Carnegie Mellon Universtiy, AutonLab, Pittsburgh, PA, United States
  • Artur Dubrawski Carnegie Mellon Universtiy, AutonLab, Pittsburgh, PA, United States
  • Lujie Chen Carnegie Mellon Universtiy, AutonLab, Pittsburgh, PA, United States
  • Ryan McDermitt Carnegie Mellon Universtiy, AutonLab, Pittsburgh, PA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5146

Abstract

Patients' visits to ER are hard to predict and control and the services incur high costs. We built an analytic framework to statistically quantify the relative utilization rates of emergency care resources by chronically ill. Analyzing Diabetes, Asthma, and Arthritis data, we found significant differences in utilization by patients covered with public and private insurance. Public plans have an opportunity to improve effectiveness and quality of chronic illness care if they follow protocols implemented by private insurance providers. Our approach can be straightforwardly extended towards comparative analyzes of utilization of healthcare resources beyond emergency care or chronic illness.

Author Biography

Yue Wang, Carnegie Mellon Universtiy, AutonLab, Pittsburgh, PA, United States

Yue Wang is currently a student pursuing master degree in Carnegie Mellon University. Her major is Information System Management and concentration is Business Intelligence and Data Analytics. During the time being a member of Auton Lab, she developed great interest in analyzing big data and data visualization.

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Published

2014-03-09

How to Cite

Wang, Y., Dubrawski, A., Chen, L., & McDermitt, R. (2014). Patterns of Emergency Care Utilization by Chronically Ill. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5146

Issue

Section

Poster Presentations