AI in HealthIT: Social and Ethical Considerations

The integration of Artificial Intelligence (AI) into Health IT is transforming patient care, decision-making, and medical research. However, these advances raise critical social and ethical issues. This paper will explore some of the impacts of AI-driven health technologies on privacy, data protection, and the freedom of access to medical information by highlighting tensions between innovation and individual rights. We examine shifts in the balance of power, as AI systems increasingly mediate interactions between patients, healthcare providers, and institutions, and potentially reinforce inequalities in access to care. We will consider the broader effects of AI adoption in both public and private healthcare organisations, addressing issues such as accountability, transparency, and bias. The paper will outline the need to educate both the public and health IT professionals about the societal implications of AI, ensuring that technological advances align with ethical principles and public trust. Overall, we will reflect on strategies for responsible AI deployment that uphold human rights and equitable healthcare outcomes, aligning the work with the United Nations' Sustainable Development Goal 3 for good health and well-being and where we are in terms of achieving this goal. The talk will provide examples from the United Kingdom, Nigeria and elsewhere of the sorts of practical approaches that illustrate good practice.

Publication Details

Journal
Repository@Hull (Worktribe) (University of Hull)
Published
2025-10-21
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI in HealthIT: Social and Ethical Considerations

Repository@Hull (Worktribe) (University of Hull)
Artificial Intelligence in Healthcare and Education
article

AI in HealthIT: Social and Ethical Considerations

article en

Abstract

The integration of Artificial Intelligence (AI) into Health IT is transforming patient care, decision-making, and medical research. However, these advances raise critical social and ethical issues. This paper will explore some of the impacts of AI-driven health technologies on privacy, data protection, and the freedom of access to medical information by highlighting tensions between innovation and individual rights. We examine shifts in the balance of power, as AI systems increasingly mediate interactions between patients, healthcare providers, and institutions, and potentially reinforce inequalities in access to care. We will consider the broader effects of AI adoption in both public and private healthcare organisations, addressing issues such as accountability, transparency, and bias. The paper will outline the need to educate both the public and health IT professionals about the societal implications of AI, ensuring that technological advances align with ethical principles and public trust. Overall, we will reflect on strategies for responsible AI deployment that uphold human rights and equitable healthcare outcomes, aligning the work with the United Nations' Sustainable Development Goal 3 for good health and well-being and where we are in terms of achieving this goal. The talk will provide examples from the United Kingdom, Nigeria and elsewhere of the sorts of practical approaches that illustrate good practice.

Repository@Hull (Worktribe) (University of Hull)
Openalex Percentile: Top 44%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.