Ethical Issues in Patient Care

2011 ◽  
pp. 504-519
Keyword(s):  
Patient Care ◽  
Ethical Issues

The Ethics of AI in Biomedical Research, Patient Care, and Public Health

2020 ◽  
pp. 702-718 ◽  
Author(s):  
Alessandro Blasimme ◽  
Effy Vayena
Keyword(s):  
Public Health ◽  
Patient Care ◽  
Biomedical Research ◽  
Disease Surveillance ◽  
Ethical Issues ◽  
Ethical Review ◽  
Ethical Challenges ◽  
Healthcare Provision ◽  
Social Scientists ◽  
Ethical Frameworks

This chapter explores ethical issues raised by the use of artificial intelligence (AI) in the domain of biomedical research, healthcare provision, and public health. The litany of ethical challenges that AI in medicine raises cannot be addressed sufficiently by current regulatory and ethical frameworks. The chapter then advances the systemic oversight approach as a governance blueprint, which is based on six principles offering guidance as to the desirable features of oversight structures and processes in the domain of data-intense biomedicine: adaptivity, flexibility, inclusiveness, reflexivity, responsiveness, and monitoring (AFIRRM). In the research domain, ethical review committees will have to incorporate reflexive assessment of the scientific and social merits of AI-driven research and, as a consequence, will have to open their ranks to new professional figures such as social scientists. In the domain of patient care, clinical validation is a crucial issue. Hospitals could equip themselves with “clinical AI oversight bodies” charged with the task of advising clinical administrators. Meanwhile, in the public health sphere, the new level of granularity enabled by AI in disease surveillance or health promotion will have to be negotiated at the level of targeted communities.

Ethical Issues related to COVID-19 versus Non-COVID-19 Patient Care

2021 ◽  
Vol 1 (1) ◽  
pp. 10-13
Author(s):  
Neha Mishra ◽  
Ritu Sharma
Keyword(s):  
Patient Care ◽  
Ethical Issues

scholarly journals Managing ethical issues in patient care and the need for clinical ethics support

2015 ◽  
Vol 39 (1) ◽  
pp. 44 ◽  
Author(s):  
Evan Doran ◽  
Jennifer Fleming ◽  
Christopher Jordens ◽  
Cameron L Stewart ◽  
Julie Letts ◽  
...  
Keyword(s):  
Patient Care ◽  
Clinical Ethics ◽  
Ethical Issues ◽  
Public Hospitals ◽  
Cross Sectional Survey ◽  
Convenience Sample ◽  
Clinical Ethics Support ◽  
Ethical Environment ◽  
Ethics Support ◽  
A Priority

Objective To investigate the range, frequency and management of ethical issues encountered by clinicians working in hospitals in New South Wales (NSW), Australia. Methods A cross-sectional survey was conducted of a convenience sample of 104 medical, nursing and allied health professionals in two NSW hospitals. Results Some respondents did not provide data for some questions, therefore the denominator is less than 105 for some items. Sixty-two (62/104; 60%) respondents reported occasionally to often having ethical concerns. Forty-six (46/105; 44%) reported often to occasionally having legal concerns. The three most common responses to concerns were: talking to colleagues (96/105; 91%); raising the issue in a group forum (68/105; 65%); and consulting a relevant guideline (64/105; 61%). Most respondents were highly (65/99; 66%) or moderately (33/99; 33%) satisfied with the ethical environment of the hospital. Twenty-two (22/98; 22%) were highly satisfied with the ethical environment of their department and 74 (74/98; 76%) were moderately satisfied. Most (72/105; 69%) respondents indicated that additional support in dealing with ethical issues would be helpful. Conclusion Clinicians reported frequently experiencing ethical and legal uncertainty and concern. They usually managed this by talking with colleagues. Although this approach was considered adequate, and the ethics of their hospital was reported to be satisfactory, most respondents indicated that additional assistance with ethical and legal concerns would be helpful. Clinical ethics support should be a priority of public hospitals in NSW and elsewhere in Australia. What is known about the topic? Clinicians working in hospitals in the US, Canada and UK have access to ethics expertise to help them manage ethical issues that arise in patient care. How Australian clinicians currently manage the ethical issues they face has not been investigated. What does this paper add? This paper describes the types of ethical issues faced by Australian clinicians, how they manage these issues and whether they think ethics support would be helpful. What are the implications for practitioners? Clinicians frequently encounter ethically and legally difficult decisions and want additional ethics support. Helping clinicians to provide ethically sound patient care should be a priority of public hospitals in NSW and elsewhere in Australia.

Trust Me, I’m an Artist: Building Opportunities for Art and Science Collaboration through an Understanding of Ethics

Leonardo ◽  
2018 ◽  
Vol 51 (1) ◽  
pp. 83-84 ◽  
Author(s):  
Anna Dumitriu
Keyword(s):  
Patient Care ◽  
Biomedical Research ◽  
Public Engagement ◽  
Subject Matter ◽  
Ethical Issues ◽  
Scientific Research ◽  
Research Areas ◽  
Cultural Implications ◽  
The World ◽  
Science Collaboration

Ethical issues frequently arise in the production and exhibition of bioart, both as subject matter and as an issue in itself. This article explores how learning from the author’s experiences as lead project artist in the Creative Europe—funded Trust Me, I’m an Artist project, along with her work as a freelance artist, which is deeply embedded in laboratory settings around the world, can help build capacity and opportunities for artists and scientists to work together in interdisciplinary and transdisciplinary collaborations to address the societal and cultural implications of emerging bioscientific and biomedical research areas, attitudes to patient care, and public engagement in contemporary scientific research.

Fairness and Ethics in Artificial Intelligence-Based Medical Imagining

2022 ◽  
pp. 71-85
Author(s):  
Satvik Tripathi ◽  
Thomas Heinrich Musiolik
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Patient Care ◽  
Data Sharing ◽  
Ethical Issues ◽  
Medical Systems ◽  
Healthcare Facilities ◽  
The World ◽  
Potential Applications ◽  
Medical Imagining

Artificial intelligence has a huge array of current and potential applications in healthcare and medicine. Ethical issues arising due to algorithmic biases are one of the greatest challenges faced in the generalizability of AI models today. The authors address safety and regulatory barriers that impede data sharing in medicine as well as potential changes to existing techniques and frameworks that might allow ethical data sharing for machine learning. With these developments in view, they also present different algorithmic models that are being used to develop machine learning-based medical systems that will potentially evolve to be free of the sample, annotator, and temporal bias. These AI-based medical imaging models will then be completely implemented in healthcare facilities and institutions all around the world, even in the remotest areas, making diagnosis and patient care both cheaper and freely accessible.

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