Using name overlap analysis to understand medication name search safety.
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....
| Publicado en: | American Journal of Health-System Pharmacy Vol. 81; no. 14; pp. 622 - 634 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
7/15/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=178359123&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178359123 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10792082 1X3 jtl: American Journal of Health-System Pharmacy issn: 10792082 maglogo: N pubinfo: dt: 7/15/2024 vid: 81 iid: 14 pid: 622 pub: Oxford University Press / USA artinfo: ui: 178359123 178359123 178359123 10.1093/ajhp/zxae048 178359123 ppf: 622 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Using name overlap analysis to understand medication name search safety. aug: au: Flynn, Allen Mieure, Katherine D Myers, Conor affil: School of Information and Department of Learning Health Sciences, Medical School, University of Michigan , Ann Arbor, MI , USA sug: subj: Drugs Nomenclature Evaluation Character User Interface Patient Safety Computer Systems Information Retrieval Methods Human Software Automation Random Sample Drug Administration Keyboards Medication Errors Prevention and Control ab: 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 names from a pool of 2,249 medication names extracted from an operating medication use system database. Results Overall maximum left-to-right character overlap varied in lists of 100 to 500 medication names from 4 to 29 characters (mode of 14 characters). For a small subset of names for high-alert medications that must never be administered in error, overall maximum left-to-right character overlap varied from 3 to 10 characters (mode of 6 characters). Further, for users searching for medications by name in computer systems, the keystrokes that do the most work to disambiguate medication names on a list are always the initial few keystrokes. Conclusion Medication name left-to-right character overlap on lists of names searched ranges widely. Instead of requiring all users to type a set number of characters when searching for medications by name, search safety can potentially be improved by upgrading computer systems to dynamically respond to each keystroke entered. Using incremental dynamic search, searchers would often be able to type fewer than 5 characters to isolate a single medication by name but would sometimes have to type many more than 5 characters to do so. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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