Leveraging Artificial Intelligence for Effective Health Promotion: Recommendations and Scenarios for Future Implementation
Keywords:
Artificial Intelligence, Health Promotion, Patient Engagement, Ethical Data Use, Public Health StrategiesAbstract
Objective: This study aims to explore the integration of Artificial Intelligence (AI) in health promotion, emphasizing the importance of human-centric approaches, ethical data usage, and the establishment of trust in AI systems.
Results: Our analysis identifies key factors influencing the effective application of AI in health promotion, including the necessity for transparency, robust oversight, and continuous education for healthcare professionals. We present detailed tables illustrating the outcomes of our investigations into human-centric AI strategies, trust and reliability factors, ethical data practices, and control mechanisms in AI deployment. Notably, training for health professionals emerged as a critical leverage point for enhancing AI utilization.
Novelty: This research contributes to the current literature by providing a comprehensive framework for leveraging AI in health promotion, highlighting the interplay between technology, ethics, and human needs. It also emphasizes the role of public engagement and the development of adaptable policies that align AI capabilities with community health objectives.
Implications for Research: Our findings suggest that future research should focus on longitudinal studies assessing the long-term impact of AI integration on health outcomes, patient autonomy, and public trust. Furthermore, collaborative efforts among healthcare providers, technologists, and policymakers are essential to foster an ecosystem where AI can effectively contribute to health promotion while adhering to ethical standards.
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