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Pathology Image-Sharing on Social Media: Recommendations for Protecting Privacy While Motivating Education

Overview of attention for article published in The AMA Journal of Ethic, August 2016
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32 news outlets
blogs
2 blogs
twitter
568 X users
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12 Facebook pages

Citations

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81 Dimensions

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70 Mendeley
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Title
Pathology Image-Sharing on Social Media: Recommendations for Protecting Privacy While Motivating Education
Published in
The AMA Journal of Ethic, August 2016
DOI 10.1001/journalofethics.2016.18.8.stas1-1608
Pubmed ID
Authors

Genevieve M Crane, Jerad M Gardner

Abstract

There is a rising interest in the use of social media by pathologists. However, the use of pathology images on social media has been debated, particularly gross examination, autopsy, and dermatologic condition photographs. The immediacy of the interactions, increased interest from patients and patient groups, and fewer barriers to public discussion raise additional considerations to ensure patient privacy is protected. Yet these very features all add to the power of social media for educating other physicians and the nonmedical public about disease and for creating better understanding of the important role of pathologists in patient care. The professional and societal benefits are overwhelmingly positive, and we believe the potential for harm is minimal provided common sense and routine patient privacy principles are utilized. We lay out ethical and practical guidelines for pathologists who use social media professionally.

X Demographics

X Demographics

The data shown below were collected from the profiles of 568 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 11%
Other 7 10%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 22 31%
Unknown 16 23%
Readers by discipline Count As %
Medicine and Dentistry 29 41%
Social Sciences 6 9%
Linguistics 4 6%
Computer Science 3 4%
Nursing and Health Professions 2 3%
Other 9 13%
Unknown 17 24%