Department of Social Work (Delhi School of Social Work), University of Delhi, India.
Abstract
In contemporary India, the public health landscape is marked by significant challenges, including a rapidly growing population, strained healthcare infrastructure, and persistent health disparities. Amidst these complexities, this research paper explores the integration of Artificial Intelligence (AI) in medical social work within the context of the Indian healthcare system, which faces challenges such as a growing population, inadequate infrastructure, and health disparities. The study investigates how AI can revolutionise medical social work by improving access to quality healthcare services. The theoretical foundation combines insights from medical social work, healthcare management, and technology, emphasising a client-centric approach that balances empathy and patient care with technological advancements. The findings reveal AI’s potential to enhance client assessment, mental health support, resource allocation, real-time translation, remote monitoring, and data analysis. The paper also addresses ethical concerns, particularly regarding data privacy and maintaining human connection. Ultimately, the research highlights AI’s transformative potential to elevate the quality of care in India, guided by empathy and patient-centred principles.
Keywords: Artificial Intelligence, Client-Centred Approach, Healthcare Disparities and Medical Social Work, Real-Time Translation
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