Health AI Central
Share:
Peer-Reviewed Publication
Am J Health Syst Pharm2024;81(14):622-633.July 8, 2024Journal Article

Using name overlap analysis to understand medication name search safety.

Allen Flynn1, Katherine D Mieure2, Conor Myers3
1School of Information and Department of Learning Health Sciences, Medical School, University of Michigan, Ann Arbor, MI, USA.
2Department of Pharmacy, Atrium Health Wake Forest, Winston-Salem, NC, USA.
3Omnicell Corporation, Fort Worth, TX, USA.
PubMed DOI

Abstract

PURPOSE: To examine the degree of left-to-right character overlap in medication names as they appear in real-world computer systems. METHODS: We programmed a computer to create and automatically analyze left-to-right character overlap in names appearing on 20,020 lists of real-world medication names. The lists varied in length from 100 to 500 medication names and were created by randomly drawing…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.