Location
Moultrie, GA
Start Date
7-5-2025 1:00 PM
End Date
7-5-2025 4:00 PM
Description
Objective: The objective of this systematic review is to explore ethical frameworks that have been proposed or implemented to guide the development and deployment of artificial intelligence (AI) in healthcare. With AI becoming increasingly integrated into society, this review aims to identify key ethical principles, governance structures, and regulatory considerations in the evolving landscape of AI-driven medical interventions.
Introduction: Due to the rapid development and expansion of AI, its adoption has arguably exceeded the rate at which proper oversight can take place. In healthcare, the potential of AI to benefit patients as well as physicians and hospital systems prompts discussions of its use and acceptance. With the highly sensitive data that is constantly used in healthcare, proper frameworks and standardized guidelines are needed to ensure fairness, transparency, and patient-centered AI applications.
Inclusion criteria: This review considers studies published in the English Language, discussing ethical frameworks for AI in healthcare, focusing on principles such as beneficence, non-maleficence, autonomy, and justice. Studies covering policy development, regulatory efforts, and AI governance in medical settings are included. Research that does not explicitly focus on ethical frameworks in AI for healthcare or discusses AI outside medical applications is excluded.
Methods: A comprehensive literature search was conducted across multiple databases, including PubMed, IEEE Xplore, ERIC, and Google Scholar, covering publications from January 2010 to May 2024. Studies are selected based on relevance to ethical frameworks in AI and healthcare, followed by data extraction and thematic analysis. Key factors analyzed include governance models, bias mitigation strategies, and ethical considerations in AI deployment. The JBI SUMARI platform is used for the review process following the latest PRISMA protocol template.
Results: The results obtained from the study will help indicate the current challenges that healthcare providers face, particularly those related to ethical risks associated with the use of AI products in healthcare services. These challenges include ethical concerns regarding AI-driven reports on events, interventions, and outcomes. Furthermore, the findings have the potential to inform not only healthcare services but also leaders, patients, and other stakeholders about key aspects of ethical considerations in AI use for healthcare. By taking existing frameworks into proper consideration, the outcomes of this work can better inform consensus among healthcare service providers and other stakeholders in the healthcare sector.
Embargo Period
6-4-2025
Included in
Navigating Ethical Frontiers: Frameworks for Responsible AI Implementation in Healthcare
Moultrie, GA
Objective: The objective of this systematic review is to explore ethical frameworks that have been proposed or implemented to guide the development and deployment of artificial intelligence (AI) in healthcare. With AI becoming increasingly integrated into society, this review aims to identify key ethical principles, governance structures, and regulatory considerations in the evolving landscape of AI-driven medical interventions.
Introduction: Due to the rapid development and expansion of AI, its adoption has arguably exceeded the rate at which proper oversight can take place. In healthcare, the potential of AI to benefit patients as well as physicians and hospital systems prompts discussions of its use and acceptance. With the highly sensitive data that is constantly used in healthcare, proper frameworks and standardized guidelines are needed to ensure fairness, transparency, and patient-centered AI applications.
Inclusion criteria: This review considers studies published in the English Language, discussing ethical frameworks for AI in healthcare, focusing on principles such as beneficence, non-maleficence, autonomy, and justice. Studies covering policy development, regulatory efforts, and AI governance in medical settings are included. Research that does not explicitly focus on ethical frameworks in AI for healthcare or discusses AI outside medical applications is excluded.
Methods: A comprehensive literature search was conducted across multiple databases, including PubMed, IEEE Xplore, ERIC, and Google Scholar, covering publications from January 2010 to May 2024. Studies are selected based on relevance to ethical frameworks in AI and healthcare, followed by data extraction and thematic analysis. Key factors analyzed include governance models, bias mitigation strategies, and ethical considerations in AI deployment. The JBI SUMARI platform is used for the review process following the latest PRISMA protocol template.
Results: The results obtained from the study will help indicate the current challenges that healthcare providers face, particularly those related to ethical risks associated with the use of AI products in healthcare services. These challenges include ethical concerns regarding AI-driven reports on events, interventions, and outcomes. Furthermore, the findings have the potential to inform not only healthcare services but also leaders, patients, and other stakeholders about key aspects of ethical considerations in AI use for healthcare. By taking existing frameworks into proper consideration, the outcomes of this work can better inform consensus among healthcare service providers and other stakeholders in the healthcare sector.