Automated detection of look-alike/sound-alike medication errors-Reference-Cited by-同舟云学术

Automated detection of look-alike/sound-alike medication errors

Author:

Rash-Foanio Christine¹,Galanter William¹,Bryson Michelle²,Falck Suzanne¹,Liu King Lup³,Schiff Gordon D.⁴⁵⁶,Vaida Allen⁷,Lambert Bruce L.⁸

Affiliation:

1. University of Illinois at Chicago, Chicago, IL

2. Takeda Pharmaceuticals, Deerfield, IL

3. Chicago, IL

4. Harvard Medical School, Boston, MA

5. Center for Patient Safety Research and Practice, Brigham

6. Women’s Hospital, Boston, MA

7. Institute for Safe Medication Practices, Horsham, PA

8. Department of Communication Studies and Center for Communication and Health, Northwestern University, Chicago, IL

Publisher

Oxford University Press (OUP)

Subject

Health Policy,Pharmacology

Link

Reference24 articles.

4. National observational study of prescription dispensing accuracy and safety in 50 pharmacies;Flynn;J Am Pharm Assoc,2003

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