Literature DB >> 21807351

Is it possible to eliminate patient identification errors in medical imaging?

Luke A Danaher1, Joan Howells, Penny Holmes, Peter Scally.   

Abstract

PURPOSE: The aim of this article is to review a system that validates and documents the process of ensuring the correct patient, correct site and side, and correct procedure (commonly referred to as the 3 C's) within medical imaging.
METHODS: A 4-step patient identification and procedure matching process was developed using health care and aviation models. The process was established in medical imaging departments after a successful interventional radiology pilot program. The success of the project was evaluated using compliance audit data, incident reporting data before and after the implementation of the process, and a staff satisfaction survey.
RESULTS: There was 95% to 100% verification of site and side and 100% verification of correct patient, procedure, and consent. Correct patient data and side markers were present in 82% to 95% of cases. The number of incidents before and after the implementation of the 3 C's was difficult to assess because of a change in reporting systems and incident underreporting. More incidents are being reported, particularly "near misses." All near misses were related to incorrect patient identification stickers being placed on request forms. The majority of staff members surveyed found the process easy (55.8%), quick (47.7%), relevant (51.7%), and useful (60.9%).
CONCLUSION: Although identification error is difficult to eliminate, practical initiatives can engender significant systems improvement in complex health care environments. Crown
Copyright © 2011. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21807351     DOI: 10.1016/j.jacr.2011.02.021

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  5 in total

1.  Detection and Remediation of Misidentification Errors in Radiology Examination Ordering.

Authors:  Scott E Sheehan; Nasia Safdar; Hardeep Singh; Dean F Sittig; Michael A Bruno; Kelli Keller; Samantha Kinnard; Michael C Brunner
Journal:  Appl Clin Inform       Date:  2020-01-29       Impact factor: 2.342

2.  Biological fingerprint for patient verification using trunk scout views at various scan ranges in computed tomography.

Authors:  Yasuyuki Ueda; Junji Morishita; Shohei Kudomi
Journal:  Radiol Phys Technol       Date:  2022-09-26

3.  Usefulness of biological fingerprint in magnetic resonance imaging for patient verification.

Authors:  Yasuyuki Ueda; Junji Morishita; Shohei Kudomi; Katsuhiko Ueda
Journal:  Med Biol Eng Comput       Date:  2015-09-04       Impact factor: 2.602

4.  Recommendations for radiographers and radiation therapists drawn from an analysis of errors on Australian Radiation Incident Registers.

Authors:  Gary Denham; Nicole Page
Journal:  J Med Radiat Sci       Date:  2017-01-05

5.  Patient and Sample Identification. Out of the Maze?

Authors:  Giuseppe Lippi; Laura Chiozza; Camilla Mattiuzzi; Mario Plebani
Journal:  J Med Biochem       Date:  2017-04-22       Impact factor: 3.402

  5 in total

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