• DOI:10.17294/2330-0698.1619
Corpus ID: 81421009

Using Clinical Decision Support Within the Electronic Health Record to Reduce Incorrect Prescribing for Acute Sinusitis.

@article{Ginzburg2018UsingCD,
  title={Using Clinical Decision Support Within the Electronic Health Record to Reduce Incorrect Prescribing for Acute Sinusitis.},
  author={R. Ginzburg and Justin J Conway and E. Waltermaurer and Wendy Song and Samantha P Jellinek-Cohen},
  journal={Journal of patient-centered research and reviews},
  year={2018},
  volume={5 3},
  pages={
          196-203
        }
}

R. Ginzburg, Justin J Conway, +2 authors Samantha P Jellinek-Cohen

Published 2018

Medicine

Journal of patient-centered research and reviews

Purpose Acute sinusitis has viral etiology in more than 90% of cases, but antibiotics are prescribed for more than 80% of adults in the United States. While applications of computer-assisted guidelines have been found effective in reducing inaccurate prescribing for acute respiratory infections, there is a paucity of research focused specifically on the utilization of electronic best practice alerts (BPA) in improving treatment for acute sinusitis. Methods This observational cohort study… CONTINUE READING

View PDF

Save to Library

Create Alert

Cite

Launch Research Feed