Ethical AI in the Healthcare Sector: Investigating Key Drivers of Adoption through the Multi-Dimensional Ethical AI Adoption Model (MEAAM)
Prathamesh Muzumdar, Apoorva Muley, Kuldeep Singh, Sumanth Cheemalapati·May 04, 2025
Summary
The Multi-Dimensional Ethical AI Adoption Model (MEAAM) categorizes 13 variables across four dimensions for ethical AI in healthcare. Analyzed through epistemic, normative, and overarching ethics, the study uses PLS-SEM to assess the impact of constructs like transparency, trust, justice, fairness, and privacy on AI adoption. Key findings highlight the importance of these elements for both operational and systemic AI stages. The research advances theoretical understanding and provides practical insights for healthcare leaders, policymakers, and developers. Future research could include longitudinal studies, sector-specific investigations, and qualitative methods.
Introduction
Background
Overview of AI in healthcare
Importance of ethical considerations in AI adoption
Objective
To analyze the impact of ethical constructs on AI adoption in healthcare using MEAAM
Method
Theoretical Framework
Explanation of MEAAM
Dimensions and variables
Research Design
Use of Partial Least Squares Structural Equation Modeling (PLS-SEM)
Constructs and Variables
Transparency
Trust
Justice
Fairness
Privacy
Data Collection
Methodology for data collection
Data Preprocessing
Techniques for data cleaning and preparation
Results
Findings on Constructs
Impact of transparency, trust, justice, fairness, and privacy on AI adoption
Importance of Elements
Significance for operational and systemic AI stages in healthcare
Discussion
Theoretical Implications
Contribution to the understanding of ethical AI in healthcare
Practical Applications
Insights for healthcare leaders, policymakers, and developers
Limitations
Discussion of study limitations
Future Research Directions
Suggestions for longitudinal studies, sector-specific investigations, and qualitative methods
Conclusion
Summary of Key Findings
Implications for Practice
Call for Further Research
Basic info
papers
artificial intelligence
Advanced features