Literature DB >> 29369379

Melanoma in the shopping mall: A utilitarian argument for offering unsolicited medical opinions in informal settings.

Gustav Preller, Sabine Salloch.   

Abstract

Doctors occasionally make diagnoses in strangers outside of formal medical settings by using the medical skill of visual inspection, such as noticing signs of melanoma or the symptoms of hyperthyroidism. This may cause considerable moral unease and doubts on the side of the diagnosing physician. Such encounters force physicians to consider whether or not to intervene by introducing themselves to the stranger and offering an unsolicited medical opinion despite the absence of a formal doctor-patient relationship. A small body of literature has addressed the topic of the unsolicited medical opinion, often with a primary focus on practical advice. This article seeks to establish an ethical-theoretical basis for physicians' ethical obligation to offer an unsolicited medical opinion when they make a diagnosis by visual inspection in a stranger outside of the formal medical context. Using a utilitarian approach, it is argued that, if it is in the physicians' power to prevent a possible loss of well-being, without thereby sacrificing anything of equal value, physicians have an ethical obligation to intervene.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  clinical diagnosis; diagnosis; informal medicine; melanoma; oedema; physical examination; unsolicited medical opinion

Mesh:

Year:  2018        PMID: 29369379     DOI: 10.1111/bioe.12426

Source DB:  PubMed          Journal:  Bioethics        ISSN: 0269-9702            Impact factor:   1.898


  2 in total

1.  A machine learning algorithm successfully screens for Parkinson's in web users.

Authors:  Brit Youngmann; Liron Allerhand; Ora Paltiel; Elad Yom-Tov; David Arkadir
Journal:  Ann Clin Transl Neurol       Date:  2019-11-12       Impact factor: 4.511

2.  Ethical Challenges and Opportunities Associated With the Ability to Perform Medical Screening From Interactions With Search Engines: Viewpoint.

Authors:  Elad Yom-Tov; Yuval Cherlow
Journal:  J Med Internet Res       Date:  2020-09-16       Impact factor: 5.428

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.