000			03286nam a22005897a 4500
008			200709s20202020 xxu||||| |||| 00| 0 eng d
022			_a1067-5027
024			_a10.1093/jamia/ocaa047 [doi]
024			_a5831558 [pii]
040			_aOvid MEDLINE(R)
099			_a32377679
245			_aVarying rates of patient identity verification when using computerized provider order entry.
251			_aJournal of the American Medical Informatics Association. 27(6):924-928, 2020 06 01.
252			_aJ Am Med Inform Assoc. 27(6):924-928, 2020 06 01.
252			_zJ Am Med Inform Assoc. 2020 May 07
253			_aJournal of the American Medical Informatics Association : JAMIA
260			_c2020
260			_fFY2020
265			_saheadofprint
265			_sppublish
266			_d2020-07-09
268			_aJournal of the American Medical Informatics Association. 2020 May 07
501			_aAvailable online through MWHC library: 2003 - present, Available in print through MWHC library: 1999 - present
520			_aCONCLUSIONS: Verification rates vary by CPOE product, and this can have patient safety consequences. Copyright (c) The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: [email protected].
520			_aDISCUSSION: Factors such as CPOE design, physician training, and the use of a simulated methodology may be impacting verification rates.
520			_aMATERIALS AND METHODS: Fifty-five physicians from 4 healthcare systems completed simulated patient scenarios using their respective CPOE system (Epic or Cerner). Eye movements were recorded and analyzed.
520			_aOBJECTIVE: We sought to determine rates of computerized provider order entry (CPOE) patient identity verification and when and where in the ordering process verification occurred.
520			_aRESULTS: Across all participants patient id was verified significantly more often than not (62.4% vs 37.6%). Vendor A had significantly higher verification rates than not; vendor B had no difference. Participants using vendor A verified information significantly more often before signing the order than after (88.4% vs 11.6%); there was no difference in vendor B. The banner bar was the most frequent verification location.
546			_aEnglish
650			_a*Medical Order Entry Systems
650			_a*Patient Identification Systems
650			_a*Patient Safety
650			_aDelivery of Health Care
650			_aHumans
650			_aPhysicians
650			_aSoftware
650			_aTime and Motion Studies
651			_aMedStar Institute for Innovation
651			_aMedStar Washington Hospital Center
656			_aEmergency Medicine
656			_aNational Center for Human Factors in Healthcare
657			_aJournal Article
700			_aFong, Allan
700			_aHettinger, Aaron Z
700			_aHowe, Jessica L
700			_aMiller, Kristen
700			_aPruitt, Zoe
700			_aRatwani, Raj M
790			_aFong A, Fortman E, Hettinger AZ, Howe JL, Miller K, Pruitt Z, Ratwani RM
856			_uhttps://dx.doi.org/10.1093/jamia/ocaa047 _zhttps://dx.doi.org/10.1093/jamia/ocaa047
942			_cART _dArticle
999			_c5063 _d5063