KT announced it will introduce an AI patient assistant as part of its healthcare standard model tailored to the needs of individual hospitals.
Through customer analysis targeting hospital staff and management, KT identified key areas for AX application across hospital operations, including patient guidance, medical administration, workforce and facility management, and the utilization of medical data. This foundation has led to the development of a structured healthcare standard model aimed at enhancing patient care experiences, improving the quality and convenience of medical staff, and optimizing hospital operations.
The AI patient assistant will support patient interactions such as appointment scheduling, guidance, and confirmations, improving accessibility throughout the entire medical process. An AI voice bot will provide 24/7 automated responses to inquiries, assist with appointment bookings through symptom classification, and offer post-discharge care instructions. KT plans to add a medical knowledge-based search augmentation generation (RAG) feature in the first quarter of next year.
Additionally, KT will focus on optimizing medical staff workflows and enhancing healthcare quality through tools like nursing schedule agents, operating room schedule agents, and the establishment of a medical data platform.
With the administrative agent for medical services, tasks from record-keeping to orders and billing will be automated.
KT aims to expand the standard model to support areas such as diagnosis, interpretation, and decision-making by integrating healthcare partner solutions and medical data platforms.
Currently, KT is organizing a specialized healthcare AX team and plans to expand its implementation across major hospitals nationwide.
Kim Bong-kyun, Vice President of KT Enterprise, stated, "KT will take the lead in the dissemination of healthcare AX as an AX platform company in line with national policies for the spread of medical AI."
* This article has been translated by AI.
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