Category: Healthcare

Erasing Bias in Emerging Technologies – 3 Considerations

Data Collection, Generalizability, Race-Based Models

Author: Ivor Horn, Kulleni Gebreyes; Publisher: World Economic Forum; Publication Year: 2022. In the following article, 2 healthcare industry professionals walk through 3 considerations all providers should make. The first big pitfall most providers fall…
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Crisis Data: An AI Ethics Case Study

Hotline, Mental Health, Mental Health Care, Mental Health Hotline, Terms and Conditions

Author: Irina Raicu; Publisher: Markkula Center for Applied Ethics; Publication Year: 2022. The following case study describes how there is an ethical concern with keeping data linked to mental health and using this data to…
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Health Data Poverty: An Assailable Barrier to Equitable Digital Health Care

Data Collection, Data Privacy, Equity Gap, Health Data, Health Data Poverty, Healthcare Inequality, Healthcare Services, Machine Learning, Representation, Transparency

Author: Hussein Ibrahim, Xiaoxuan Liu, Nevine Zariffa, Andrew D. Morris, Alastair K. Denniston; Publisher: The Lancet Digital Health; Publication Year: 2021. The following study identifies how machine learning and advanced technologies can now be used…
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The Health Pulse: AI and Bias in Healthcare

Algorithms, Analytics Lifecycle, Healthcare Systems, Risk Assessment

Author: Hiwot Tesfaye, Greg; Publisher: SAS; Publication Year: 2022. The following podcast episode discusses how algorithms in healthcare are often used for accessing risk. Pitfalls come from not understanding how the healthcare system has worked…
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Privacy & Security Perspectives: Interoperability, Prospects for HIPAA Refresh, More

Perspective, Sensitive Data, Technology Development

Author: Bill Siwicki; Publisher: Healthcare IT News; Publication Year: 2020. The following article features a conversation highlighting the importance of keeping multiple perspectives in mind for any kind of technology development that requires sharing of…
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We Don’t Have Enough Women in Clinical Trials — Why That’s a Problem

Clinical Trials, Gender Gap, Training Data

Author: Elizabeth Pratt; Publisher: Healthline; Publication Year: 2020. The following article discusses how data scientists need to be cautious about applying results across all demographics if all demographics were not well represented in the data…
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Digital Epidemiology: The Ethics of Using Health Data in a Pandemic

Contract Tracing, Epidemiology, Machine Learning

Author: N/A Publisher: Health Europa Publication Year: 2020 Summary: The following article brings attention to ethical concerns present in our digital world and epidemiology. It discusses the ethics of contract tracing. There has to be…
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The Racial Data Gap: Lack of Racial Data as a Barrier to Overcoming Structural Racism

Data Collection, Data Reporting, Public Health, Racial Gaps, Structural Racism

Author: Geoffrey Holtzman, Neda Khoshkhoo, Elaine Nsoesie; Publisher: The American Journal of Bioethics; Publication Year: 2022. The following article discusses how there is a consistent racial disparity in data, particularly as this article points out,…
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Ethical Issues Surrounding Research of AI in Health Care

Accountability, Artificial Intelligence, Autonomy, Equity, Inclusivity, Public Interest, Sustainability, Transparency, World Health Organization

Author: F. Lisa Murtha, Pralika Jain and Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses the controversy around artificial intelligence (AI) in healthcare has become a barrier to using AI to better…
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