Ethical Implications of e-Health Applications in Early Preventive Healthcare

Area of Science:

• Pediatric Preventive Medicine
• Digital Health Ethics
• Artificial Intelligence in Healthcare

Background:

• Current pediatric examinations provide limited developmental snapshots due to infrequent intervals.
• E-health applications enable more frequent and regular recording of developmental parameters by parents and adolescents.
• Artificial intelligence (AI) can analyze this data for novel pattern identification.

Purpose of the Study:

• To explore the ethical implications of e-health applications in pediatric preventive healthcare.
• To assess the opportunities and risks of app-based data collection and AI-based evaluation.
• To examine these issues through the lens of the best interest of the child.

Main Methods:

• Focus on preventive healthcare in pediatrics.
• Analysis of ethical considerations surrounding e-health and big data in child health.
• Exploration of the principle of the best interest of the child.

Main Results:

• E-health applications can enhance early detection and prevention in pediatrics.
• Significant ethical concerns exist regarding the use of big data in medicine, particularly in pediatrics.
• Balancing group benefits against individual autonomy and privacy presents a complex ethical challenge.

Conclusions:

• E-health and AI offer potential improvements for pediatric preventive care.
• Careful consideration of ethical trade-offs is necessary for responsible implementation.
• Prioritizing the best interest of the child is paramount in navigating these ethical dilemmas.