An Ethics Framework for Big Data in Health and Research

Author: Vicki Xafis, G. Owen Schaefer, Markus K. Labude, Iain Brassington, Angela Ballantyne, Hannah Yeefen Lim, Wendy Lipworth, Tamra Lysaght, Cameron Stewart, Shirley Sun, Graeme T. Laurie & E Shyong Tai; Publisher: Asian Bioethics Review; Publication Year: 2019. The following paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts…

Op-Ed: Big Data Analytics in Healthcare is All About Ethics

Author: Tim Sandle; Publisher: Digital Journal; Publication Year: 2020. The following article discusses the need for change in healthcare data. Ethics should be more of a priority for healthcare organizations. The author argues that privacy is not currently being taken seriously enough, and there should be more regulations that healthcare and pharmaceutical organizations must follow. Many countries have laws…

Ethics of Collecting and Using Healthcare Data

Author: Thomas J., McNabb S.; Publisher: Global Health Data Methods; Publication Year: N/A. The following article discusses how misuse in health range from a physician not informing their patient about the risks of a procedure they will perform to the manager of a public health data system not protecting the confidentiality of patient records. Public health systems must protect the confidentiality of sensitive information while ensuring practitioners…

How Artificial Intelligence can Help Combat Systemic Racism

Author: Scott Murray; Publisher: MIT News; Publication Year: 2022. The following article discusses how facial recognition algorithms have been known to be less accurate when detecting darker-skinned individuals, resulting in harmful bias and wrongful use. Rather than combating systemic racism and social inequalities, artificial intelligence (AI) is seemingly perpetuating these disparities, demonstrating the great…

Ten Steps to Ethics-Based Governance of AI in Health Care

Author: Satish Gattadahalli; Publisher: STAT; Publication Year: 2020. The following article talks about the usage of artificial intelligence (AI) in health care which raises ethical issues that are paramount and fundamental in order to avoid harming patients, creating liability for health care providers, and undermining public trust in these technologies. The article talks about why AI bias should not be overlooked. Although…

Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare

Author: Sara Gerke, Timo Minssen, and Glenn Cohen; Publisher: National Library of Medicine; Publication Year: 2020. The following article is dense, but its biggest takeaway is the impact of getting things wrong is extremely high in the healthcare sector. If an algorithm recommends an incorrect or unsafe oncology treatment, it could cost a patient their lives. The practical example of this is simply having bad training data, but it can also take a bias skew. When…

Gaps in Measuring and Mitigating Implicit Bias in Healthcare

Author: Sally Arif; Publisher: National Library of Medicine; Publication Year: 2021. The following article focusses on how recent studies have shown that healthcare providers hold unconscious bias through the use of the Implicit Association Test (IAT). The IAT was developed in 1998 and is the now the most readily available computerized online tool used to measure and bring awareness to unconscious bias in published literature…

Big Data Phenotyping in Rare Diseases: Some Ethical Issues

Author: Nina Hallowell, Michael Parker, Christoffer Nellåker; Publisher: Genetics in Medicine; Publication Year: 2018. The following article discusses how computational phenotyping (using machine learning algorithms [MLAs] to analyze photographic images) has improved healthcare experience for rare disease patients and facilitated the research for clinical geneticists. Although there are many benefits and beneficiaries of computational phenotyping, its use…

Artificial Intelligence in Healthcare: Providing Ease or Ethical Dilemmas?

Author: Nils Aoun, Chloé Currie, Itai Epstein, and Chaaron Nahar; Publisher: Maiei; Publication Year: 2022. The following article covers how research in medicine by people is at a plateau, many of the recent advancements are coming through artificial intelligence (AI). AI has primarily increased the efficiency of the diagnosis process. Showing great accuracy in classifying imaging from scans of specific diseases, helping save many lives. However, the full…

Protecting Lives & Liberty: How Contact Tracing Apps Can Foil Both COVID-19 and Big Brother

Author: Nicky Case; Publisher: ncase.me; Publication Year: N/A. The following resource considers how should we balance leveraging sensitive data to combat important social issues (e.g., COVID-19 contact tracing) while ensuring data privacy? One answer is the DP-3T protocol used to automatically trace contact between individuals using location-based data from mobile devices. However, even with a…