AI Agents Streamline Workflows at Yonsei University Health System
Yonsei University Health System (YUHS) is transforming hospital operations by deploying AI agents to handle complex administrative tasks and reduce staff burnout.
In the quiet hours of a night shift at Yonsei University Health System (YUHS), registered nurse Juhui Jung faced a common challenge: an emergency procedure scheduled for a patient that involved unfamiliar preparation steps and complex guidelines. In the past, this would have triggered a time-consuming search through physical manuals or multiple phone calls to other departments to verify protocols. Today, however, Jung simply opens a Nursing Test Q&A Copilot Agent within Microsoft Teams to receive immediate, accurate guidance.
This shift marks a significant milestone in medical innovation as YUHS integrates AI agents to simplify administrative and support processes. By leveraging an AI ecosystem, the hospital is successfully reducing repetitive workloads and ensuring that frontline staff can focus more on patient care and professional development.
Bridging the Information Gap in Nursing
Nurses at YUHS operate in a high-pressure, 24-hour environment where timely access to information is critical. They often manage foreign patients, handle repeated inquiries from various departments, and prepare for procedures they do not perform routinely. Previously, the sheer volume of guidelines—scattered across text documents, tables, and images—made it difficult to find answers quickly, especially during night or weekend shifts.
The introduction of the Nursing Guidelines Q&A Copilot Agent has transformed this dynamic. The agent surfaces relevant guidelines and reference images on a single screen in response to natural language questions. According to RN Juhui Jung, the impact on administrative tasks has been dramatic: "I used to spend nearly three weeks entering and organizing Excel-based materials... Since using the Copilot agent, I can now finish the same work in a single day".
A "Citizen Developer" Approach to AI
The success of YUHS’s digital transformation stems from its unique "citizen developer" ecosystem. Rather than deploying a rigid, centrally managed system, the Digital Health Strategy Center established a low-code environment using Microsoft Copilot Studio and the Power Platform. This allows individual departments to design and refine their own AI agents to meet their specific operational needs.
"Rather than focusing on AI adoption itself, we had to start by thinking about what form of AI could actually be used in the field while maintaining network separation and security," explained Hyungjin Lee, Director of the Digital Health Strategy Center. By choosing a SaaS-based architecture that integrates into the familiar Microsoft Teams environment, the hospital ensured that staff could adopt the technology without the burden of learning an entirely new platform.
Security and the Future Roadmap
Implementing AI in a tertiary care hospital requires balancing innovation with strict security requirements and internal policies. YUHS addressed this by using a system that maintains network separation while utilizing external AI endpoints for performance. This model allows the hospital to adopt the latest AI capabilities through simple configuration changes rather than costly system rebuilds.
Looking ahead, YUHS is following a two-track AI Transformation (AX) roadmap. While AI is being rapidly expanded in administrative areas to eliminate delays, its application in clinical settings is being reviewed in stages to prioritize patient safety and legal responsibility. The ultimate goal is for AI to move beyond a specialized tool and become a practical daily assistant for every clinician and staff member.
As these agents continue to evolve through ongoing staff feedback and document refinement, Yonsei University Health System is demonstrating how AI-driven efficiency can lead to a more professional and streamlined healthcare environment.
Source: Microsoft
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