Seoul Medical Center Expands Public Healthcare AI Adoption…Applications Planned Across Care, Testing, and Wards
- Feb 27
- 2 min read
Updated: 3 days ago
Seoul Medical Center announced a broader AI adoption strategy across clinical care and patient services, positioning itself to expand the use of AI in public healthcare. The report covered plans spanning diagnostics, health screening, inpatient monitoring, and the introduction of a medical speech recognition solution.

Expansion of AI in Public Healthcare
Seoul Medical Center presented a vision to apply AI across clinical and patient service areas and to take a leading role in public healthcare AI adoption. The report also said the hospital plans to share its implementation experience with other public medical institutions that may face greater difficulty introducing new systems and investments.
AI Use in Clinical Care and Health Screening
According to the article, Seoul Medical Center is already using AI in both care and screening settings. AI tools are being used for fundus image analysis and chest X-ray reading support, while a separate screening system analyzes factors such as blood pressure, blood sugar, and lab values to assess brain aneurysm risk.
Planned Introduction of Osteoporosis Screening AI
The report also described another AI-based diagnostic support project in preparation. An osteoporosis screening software that analyzes chest X-ray images with AI is scheduled for introduction in May 2026.
Planned Adoption of Voice EMR
Seoul Medical Center also said it plans to introduce an AI-based medical speech recognition solution, referred to as Voice EMR, for clinical support. The article explained that the goal is to enable automatic entry of medical records into EMR, OCS, and PACS systems through voice recognition, reducing charting time for clinicians and shortening patient waiting time.
Inpatient Monitoring and Deterioration Prediction
For inpatient care, the report included plans to operate a wearable biosensor-based monitoring system and an AI solution for predicting cardiac arrest and patient deterioration starting in May 2026. This was presented as part of a broader effort to extend AI adoption into ward operations as well.
This plan can be read as a case showing how a public medical institution is gradually expanding AI across clinical care, diagnostics, and inpatient management while aiming to share that experience more broadly.
For more details, please refer to the media coverage below.
Source: Daily Medi (https://www.dailymedi.com/)