Kyndryl
AI-Driven Conversational Healthcare Framework
Pages
6
Time to read
13 mins
Publication
Language
English
Pages
6
Time to read
13 mins
Publication
Language
English
This document is a guide that outlines the potential impact of artificial intelligence on healthcare, particularly focusing on the shift from traditional consultations to continuous conversational interactions. It discusses the increasing burden of chronic diseases, such as diabetes and cardiovascular conditions, and highlights the economic implications of these health challenges. The guide emphasizes the importance of integrating AI technologies, such as conversational agents and multi-agent systems, to enhance patient engagement and support preventive healthcare. It details how these technologies can lower barriers to access, particularly for vulnerable populations, and improve the coordination of care across different health conditions. The document also presents a model for a learning health system that utilizes patient-reported data and AI analytics to inform clinical decision-making, ultimately aiming to create a more effective and patient-centered healthcare experience. The guide concludes by advocating for innovations that prioritize continuous conversations in healthcare to better address the complexities of patient needs and improve overall health outcomes.