Clinical decision support to improve antibiotic prescribing for acute respiratory infections: results of a pilot study.

Jeffrey Linder*, Jeffrey L. Schnipper, Lynn A. Volk, Ruslana Tsurikova, Matvey Palchuk, Maya Olsha-Yehiav, Andrea J. Melnikas, Blackford Middleton

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Acute Respiratory Infections (ARIs) are the number one reason for antibiotic prescribing in the United States, and much antibiotic prescribing for ARIs is inappropriate. We designed an electronic health record-integrated, documentation-based clinical decision support system for the care of patients with ARIs, the ARI Smart Form. To evaluate the ARI Smart Form and assess the feasibility of performing a larger trial, we conducted a pilot study with 10 clinicians who used the ARI Smart Form with 26 patients. Clinicians prescribed antibiotics to 6 of 6 patients with antibiotic-appropriate diagnoses and to 3 of 20 (15%) patients with antibiotic-inappropriate diagnoses. The average duration of use of the ARI Smart Form was 7.5 (SD+/-4.5) minutes. Eight of 10 respondents reported that the ARI Smart Form was either time-neutral or timesaving. The ARI Smart Form requires further evaluation but has the potential to improve workflow and reduce inappropriate antibiotic prescribing.

Original languageEnglish (US)
Pages (from-to)468-472
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2007

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Clinical decision support to improve antibiotic prescribing for acute respiratory infections: results of a pilot study.'. Together they form a unique fingerprint.

Cite this