Integration of AI / NLP for Improving Care Coordination

Artificial intelligence and its application have grown phenomenally in the recent decade. Its advent now presents an opportunity to tackle traditionally complex problems, particularly in the healthcare sector. AI with its machine learning models and natural language processing capabilities brings tremendous possibilities in the execution of care coordination and in turn improves efficiencies in the implementation. Care coordination at its basic form involves multiple independent actors collaborating for a patient?s healthcare needs and this model introduces complexities at various points like communication, planning, and execution of care. This paper explores the various possible applications of AI to reduce these complexities within the subdomain of care coordination, its viable implementation, and its benefits.