Ethics: A Checklist for Investigators, Ethics Boards and Reviewers
Ethics: A Checklist for Investigators, Ethics Boards and Reviewers
The BigMedilytics (BML) project involved a series of exploratory studies aimed at understanding how advanced, Artificial Intelligence (AI)- enabled and Big Data, technologies might be introduced into different healthcare scenarios, and whether such inclusion would be acceptable to patients and clinicians and institutions. This in the first place because of the target cohort – namely patients who are intrinsically vulnerable – and the sensitivity of their personal data. Therefore, these studies require appropriate oversight from a regulatory as well as ethical perspective. Against the backdrop of what has already been written on Ethics, Big Data and AI, BML offers a unique opportunity to explore stakeholder attitudes to the ethical treatment of their data and the effects advanced technologies might have on what they expect from healthcare usage thereof.
This chapter reports the findings of several surveys, including the BML partners, which provide insight into stakeholder attitudes and concerns regarding the use of advanced technologies. Homing in specifically on the ethical principles of justice and respect for the individual, the chapter considers three ethical theories as they relate to assessing the benefit of research using advanced technologies, followed by a review of the different types of informed consent. This leads to a set of proposed review questions to guide researcher, ethics committees and institutions when evaluating research proposals involving advanced technologies in healthcare.
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Pickering, Brian
225088d0-729e-4f17-afe2-1ad1193ccae6
Pickering, Brian
(2023)
Ethics: A Checklist for Investigators, Ethics Boards and Reviewers.
In,
Handbook on Big Data for Healthcare - from theory to practice.
(In Press)
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Book Section
Abstract
The BigMedilytics (BML) project involved a series of exploratory studies aimed at understanding how advanced, Artificial Intelligence (AI)- enabled and Big Data, technologies might be introduced into different healthcare scenarios, and whether such inclusion would be acceptable to patients and clinicians and institutions. This in the first place because of the target cohort – namely patients who are intrinsically vulnerable – and the sensitivity of their personal data. Therefore, these studies require appropriate oversight from a regulatory as well as ethical perspective. Against the backdrop of what has already been written on Ethics, Big Data and AI, BML offers a unique opportunity to explore stakeholder attitudes to the ethical treatment of their data and the effects advanced technologies might have on what they expect from healthcare usage thereof.
This chapter reports the findings of several surveys, including the BML partners, which provide insight into stakeholder attitudes and concerns regarding the use of advanced technologies. Homing in specifically on the ethical principles of justice and respect for the individual, the chapter considers three ethical theories as they relate to assessing the benefit of research using advanced technologies, followed by a review of the different types of informed consent. This leads to a set of proposed review questions to guide researcher, ethics committees and institutions when evaluating research proposals involving advanced technologies in healthcare.
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Accepted/In Press date: 2023
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Local EPrints ID: 477826
URI: http://eprints.soton.ac.uk/id/eprint/477826
PURE UUID: 5685ff64-b41d-4066-9058-eb008c0bd9c2
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Date deposited: 15 Jun 2023 16:46
Last modified: 16 Jun 2023 01:41
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