International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Ethical, Governance, and Usability Challenges in AI-Powered Virtual Health Assistants: A Systematic Thematic Analysis

Author(s) Parth Chandak, Dr. Alaka Chandak
Country United States
Abstract This systematic review examines the integration of Artificial Intelligence (AI)-powered Virtual Health Assistants (VHAs) into Electronic Health Record (EHR) systems, with particular emphasis on ethical considerations, regulatory frameworks, and usability challenges that currently impede comprehensive implementation in clinical environments. Through rigorous thematic synthesis of 15 peer-reviewed articles, this study quantifies the prevalence of algorithmic bias (65% of AI-based healthcare systems), regulatory inconsistencies across jurisdictions, and clinician adoption barriers including transparency concerns (72%) and cognitive workload issues (40%). The analysis categorizes findings into five interconnected domains: ethical implications, governance structures, human-centered AI development, bias mitigation strategies, and interface usability. Results indicate that while promising interventions such as dataset diversification and federated learning demonstrate potential for reducing algorithmic bias, standardization of fairness metrics remains inadequate. This research concludes that successful implementation of AI-driven VHAs necessitates enhanced model transparency, systematic bias reduction protocols, and harmonized cross-regional regulatory frameworks. Future research directions should prioritize development of standardized fairness benchmarks, regulatory alignment across healthcare systems, and human-centered design principles to facilitate clinical adoption and maximize therapeutic efficacy.
Field Engineering
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-02
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.39043
Short DOI https://doi.org/g88hb4

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