↓ Skip to main content

Error Disclosure in Pathology and Laboratory Medicine: A Review of the Literature

Overview of attention for article published in AMA Journal of Ethics, August 2016
Altmetric Badge

Mentioned by

twitter
29 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
Title
Error Disclosure in Pathology and Laboratory Medicine: A Review of the Literature
Published in
AMA Journal of Ethics, August 2016
DOI 10.1001/journalofethics.2016.18.8.nlit1-1608
Pubmed ID
Abstract

Since the 1990s, the fields of anatomic and clinical pathology have made strong commitments to improving patient safety, including the creation of formal and informal guidelines for assessing and reporting quality lapses. Unfortunately, some medical errors are inevitable. Patient safety experts advocate full and complete disclosure of all serious medical errors in an effort to preserve the patient-physician relationship and minimize the risk of harm to patients. While evidence suggests that most pathologists disclose serious medical errors, many do not disclose such errors to patients. A literature review of articles published on diagnostic error disclosure in pathology and laboratory medicine suggests that there are in fact persistent barriers to the disclosure of diagnostic errors that are specific to pathology. A number of these barriers are considered here, followed by recommendations for improving patient safety in pathology.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Student > Bachelor 2 15%
Student > Doctoral Student 2 15%
Professor > Associate Professor 2 15%
Other 1 8%
Other 2 15%
Readers by discipline Count As %
Medicine and Dentistry 10 77%
Biochemistry, Genetics and Molecular Biology 2 15%
Business, Management and Accounting 1 8%