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Requirements for Developing an Ethic...

Sarkar, Prakriti,

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Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study // Prakriti Sarkar.
Author:	Sarkar, Prakriti,
Description:	1 electronic resource (65 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-02.
Contained By:	Masters Abstracts International86-02.
Subject:	Public health education. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31329119
ISBN:	9798383609415

Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study /
Sarkar, Prakriti,

Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study /Prakriti Sarkar. - 1 electronic resource (65 pages)

Source: Masters Abstracts International, Volume: 86-02.

BackgroundThe advent of Artificial Intelligence (AI) in healthcare marks a transformative era characterized by enhanced diagnostic tools, personalized treatments, and efficient patient care. However, the integration of AI into healthcare systems introduces complex ethical dilemmas, necessitating the development of robust frameworks to navigate these challenges effectively. This thesis explores the intricacies of establishing ethical maturity frameworks in biomedical research, aiming to bridge the gap between technological advancement and ethical considerations.Objective The primary objective is to develop a comprehensive understanding of the current ethical frameworks in health AI, identify existing gaps and limitations, and propose solutions through a scoping review of literature, gap analysis, and summarizing findings from the Research Data Ethics Maturity Model Project (README) workshop.We used a two-step process. Initially, we conducted a scoping review of 94 papers on AI ethics in healthcare to assess the existing landscape, next, we pinpointed where these ideas are missing the mark, and identified the deficiencies within these frameworks. Finally, we held a workshop where people could come together to think of new ways to deal with these ethical issues. This whole process helped us get a full picture of what's going on with AI and ethics in healthcare right now. MethodsWe found that there's not enough research on how AI and ethics cross paths in healthcare, which means we need to look into this more. The literature review highlighted key areas requiring attention, such as mitigating AI biases, achieving consensus on AI governance, and developing comprehensible and actionable regulations. Our deep dive showed us key areas that need work, like making sure AI doesn't have biases, getting people to agree on how AI should be governed, and making rules that everyone can understand and use. The README workshop we had was a great place for people to share ideas; participants developed six use cases related to health AI, focusing on practical applications and ethical considerations like making sure AI is fair, improving health safety, and helping hospitals run better.Conclusion AI has the potential to improve healthcare, but we must be careful about its ethical use. By creating strong guidelines for using AI responsibly, we can ensure that it's used in ways that are open, fair, and respect everyone's rights. This study adds to the conversation on how to use AI in healthcare responsibly and sets the stage for more research and guidelines in the future. Our findings underlines the necessity for continuous dialogue and collaboration among stakeholders to foster an ethically sound integration of AI in healthcare systems.

English

ISBN: 9798383609415Subjects--Topical Terms:

2144801
Public health education.
Subjects--Index Terms:

Healthcare systems

Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study /
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520 $a BackgroundThe advent of Artificial Intelligence (AI) in healthcare marks a transformative era characterized by enhanced diagnostic tools, personalized treatments, and efficient patient care. However, the integration of AI into healthcare systems introduces complex ethical dilemmas, necessitating the development of robust frameworks to navigate these challenges effectively. This thesis explores the intricacies of establishing ethical maturity frameworks in biomedical research, aiming to bridge the gap between technological advancement and ethical considerations.Objective The primary objective is to develop a comprehensive understanding of the current ethical frameworks in health AI, identify existing gaps and limitations, and propose solutions through a scoping review of literature, gap analysis, and summarizing findings from the Research Data Ethics Maturity Model Project (README) workshop.We used a two-step process. Initially, we conducted a scoping review of 94 papers on AI ethics in healthcare to assess the existing landscape, next, we pinpointed where these ideas are missing the mark, and identified the deficiencies within these frameworks. Finally, we held a workshop where people could come together to think of new ways to deal with these ethical issues. This whole process helped us get a full picture of what's going on with AI and ethics in healthcare right now. MethodsWe found that there's not enough research on how AI and ethics cross paths in healthcare, which means we need to look into this more. The literature review highlighted key areas requiring attention, such as mitigating AI biases, achieving consensus on AI governance, and developing comprehensible and actionable regulations. Our deep dive showed us key areas that need work, like making sure AI doesn't have biases, getting people to agree on how AI should be governed, and making rules that everyone can understand and use. The README workshop we had was a great place for people to share ideas; participants developed six use cases related to health AI, focusing on practical applications and ethical considerations like making sure AI is fair, improving health safety, and helping hospitals run better.Conclusion AI has the potential to improve healthcare, but we must be careful about its ethical use. By creating strong guidelines for using AI responsibly, we can ensure that it's used in ways that are open, fair, and respect everyone's rights. This study adds to the conversation on how to use AI in healthcare responsibly and sets the stage for more research and guidelines in the future. Our findings underlines the necessity for continuous dialogue and collaboration among stakeholders to foster an ethically sound integration of AI in healthcare systems.
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