Evaluating Notifiable Disease Reporting by Providers: Analysis of Data Element Completeness

Authors

  • Patrick T. Lai Indiana University, School of Informatics and Computing, Indianapolis, IN, United States
  • Kavya R. Gujjula Indiana University, School of Informatics and Computing, Indianapolis, IN, United States
  • Shaun J. Grannis Indiana University, School of Medicine, Indianapolis, IN, United States; Regenstrief Institute, Center for Biomedical Informatics, Indianapolis, IN, United States
  • Brian E. Dixon Indiana University, School of Informatics and Computing, Indianapolis, IN, United States; Regenstrief Institute, Center for Biomedical Informatics, Indianapolis, IN, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5093

Abstract

Provider reporting of notifiable disease is a critical component of public health assessment and surveillance. To efficiently and effectively assess and respond to disease, health departments require complete data from providers. To better understand the level of completeness in provider reporting, we examined key data elements across 7 notifiable diseases reported to a local health department. We found that some fields are incomplete more than half the time and provider demographics are frequently missing. We discuss the implications on public health workflow and opportunities for improvement.

Author Biography

Patrick T. Lai, Indiana University, School of Informatics and Computing, Indianapolis, IN, United States

A doctoral student at Indiana University in Indianapolis, IN, Patrick T.S. Lai, MPH, has performed research concerning information needs in public health and data quality in health informatics. Research interests include topics such as GIS applications in public health, notifiable disease surveillance, health disparity research, electronic medical record reporting, and usage of data mining and biostatistics.

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Published

2014-03-09

How to Cite

Lai, P. T., Gujjula, K. R., Grannis, S. J., & Dixon, B. E. (2014). Evaluating Notifiable Disease Reporting by Providers: Analysis of Data Element Completeness. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5093

Issue

Section

Oral Presentations