Leveraging Artificial Intelligence in Mental Health Care Support in Healthcare Industries

Abstract

The increased prevalence of health professionals with mental health challenges strongly suggests the need for creative initiatives. The aim of this chapter is to explore the potential of artificial intelligence (AI) to revolutionize mental health support in healthcare. AI can enable improvements to early identification and response to mental health risk, and the appropriate tailored care for health professionals. The profound consequences of such incidents for patients and their families are significant and have been a critical focus of regulatory research and policy for many years. Consequently, the emotional toll these events impose on healthcare professionals and the systems in which they operate is an ongoing subject of investigation in the literature, with organizational support reflected in the rise of employee wellness initiatives. As the emphasis on wellness broadens and becomes a central concern within conventional healthcare institutions and the wider community, the topic of workforce wellness has attracted increasing scrutiny in recent years. The chapter explores the unique opportunities that AI provides including predictive analytics, natural language processing and machine learning in identifying those at risk, monitoring emotional health, and optimizing workloads. We also address ways that AI can personalize treatment options, enhance peer support, and save time for making better stress management decisions. This chapter explores opportunities and challenges of using AI to improve mental health support for health professionals, with the goal of improving outcomes for health professionals and cultivating greater resilience among health professionals.

Ähnliche Arbeiten