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Integrating the Epigenetic and Microbiome-Integrated Mental Health (EMIMH) Framework into Community Health Centers: A Discourse Analysis Junior, George Akwetey; De-Veer, Theodora Pearl
Ilomata International Journal of Social Science Vol. 5 No. 4 (2024): October 2024
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v5i4.1355

Abstract

This study introduces the Epigenetic and Microbiome-Integrated Mental Health (EMIMH) Framework for Community Health Centers (CHCs), aiming to enhance mental health care delivery. CHCs face challenges including funding constraints, workforce shortages, and difficulties implementing integrated care models for mental health services. The EMIMH Framework proposes integrating epigenetic and microbiome considerations into CHC mental health care, offering a personalized and preventive approach. We conducted a critical discourse analysis of texts from 2018-2024, examining perspectives on integrating advanced biological approaches in CHC mental health care. Results reveal growing interest in epigenetic and microbiome approaches, alongside concerns about implementation barriers, ethical implications, and potential health disparities. The EMIMH Framework presents a promising avenue for improving CHC mental health care, potentially enhancing outcomes and reducing costs. However, successful implementation requires addressing practical, ethical, and equity challenges.
Biological and Social Impacts of Implementing Artificial Intelligence-Based Economic Policies: A Discourse Analysis De-Veer, Theodora Pearl; Akwetey, George; Sentre, Justa
Ilomata International Journal of Social Science Vol. 6 No. 1 (2025): January 2025
Publisher : Yayasan Ilomata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijss.v6i1.1475

Abstract

Introduction/Main Objectives: This manuscript investigates the biological and social ramifications of AI-powered economic policies, aiming to elucidate the multifaceted impacts of artificial intelligence on societal structures and health outcomes. Background Problems: The rapid integration of AI technologies into economic frameworks raises critical ethical concerns, including algorithmic bias and accountability, which can exacerbate existing social inequalities. Additionally, the implications for human-AI interaction in healthcare settings necessitate a deeper understanding of how these technologies affect patient outcomes and clinician practices. Methods: A discourse analysis was conducted on ten peer-reviewed articles, focusing on themes such as ethical accountability, human-AI interaction, social equity, and workforce dynamics. Findings: The analysis revealed four primary themes: (1) Ethical and Accountability Challenges, highlighting the necessity for robust frameworks to address algorithmic bias; (2) Human-AI Interaction and Its Biological Implications, emphasizing the need for clinician training and AI literacy; (3) Social Equity and Access Issues, underscoring the risk of exacerbating existing disparities; and (4) Economic Impact and Workforce Dynamics, pointing to the dual-edged nature of AI's integration into economic policies. Conclusions: The findings underscore the imperative for policymakers to develop ethical guidelines and promote AI literacy while implementing strategies for workforce reskilling. By addressing these challenges, society can harness the transformative potential of AI technologies while safeguarding social equity and enhancing health outcomes.