Exploring the Social Challenges in Healthcare: The Role of AI in Healthcare Solutions

Abstract

Certain conversation models can potentially support aspects of healthcare provision via telemedicine. However, chatbots raise significant concerns and challenges as they are less predictable or controllable than more traditional rule-based systems. Trust, professional and data quality, privacy, equity, and advocacy are among the complex social and ethical issues raised. These understandings must rest on feedback from immediate stakeholders and those with broader experience and an understanding of health services. More prominent emphasis is placed on specialized knowledge and professional healthcare roles. Patient data and the interpretation of that data are treated with extreme care. The discussion intends to offer generalized dialogical guidance for using such models as extraordinarily open and expressly point out social caveats that should lend themselves to practical commercial and policy implementation. The model also raises challenging questions about ethics that pervade reflection around social work, such as accountability, social justice, and therapy's role.