Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study.

Journal: Journal of medical Internet research
PMID: 28506958

Abstract

BACKGROUND: Community-acquired pneumonia is a leading cause of pediatric morbidity. Administrative data are often used to conduct comparative effectiveness research (CER) with sufficient sample sizes to enhance detection of important outcomes. However, such studies are prone to misclassification errors because of the variable accuracy of discharge diagnosis codes.

Authors

  • Stephane Meystre
    Stephane Meystre, MD, PhD, is an Assistant Professor at the University of Utah and a Research Investigator in the IDEAS Center at the VA Salt Lake City Health Care System in Salt Lake City, UT.
  • Ramkiran Gouripeddi
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.
  • Joel Tieder
    Seattle Children's Hospital and University of Washington, Seattle, WA, United States.
  • Jeffrey Simmons
    Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Rajendu Srivastava
    Department of Pediatrics, University of Utah, Salt Lake City, UT, United States.
  • Samir Shah
    Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.

Keywords

External Resources

Popular Topics
Recent Journals