AI Healthcare
"A New Standard for Future Healthcare - Caring for People with Digital Technology"
The meeting of nursing·health capabilities and cutting-edge AI technology
In line with the aging era and digital transformation, using data and artificial intelligence
We train convergence healthcare professionals who will realize patient-centered integrated care and smart rehabilitation.
Major Overview
Why 'AI Healthcare'?
The modern healthcare environment is changing rapidly. With the aging population and rise of chronic diseases, community-based prevention and care beyond hospital-centered treatment have become crucial, and the use of digital technologies such as AI-assisted diagnosis, telemedicine, and medical big data analysis has become essential in clinical settings.
This convergence major was established, led by the Department of Nursing in collaboration with the Departments of Occupational Therapy, Clinical Laboratory Science, and AI, to train 'future-oriented medical talent' who combine traditional clinical competencies with digital healthcare system design and data analysis capabilities.
Key Features
- Multidisciplinary Convergence: Combining Nursing + Occupational Therapy + Clinical Laboratory Science + AI for an integrated medical perspective
- Jeju Region-Specific: Practical education linked to Jeju Healthcare Town and the smart healthcare cluster
- Advanced Technology Utilization: Intensive learning in AI, big data, digital twin technology, and telemedicine
Educational Goals & Talent Profile
"Healthcare professionals who combine compassionate care with smart technology"
This major trains the following 3 core types of specialists.
Integrated Digital Healthcare Practitioner
Streamlining patient management and coordinating communication among medical staff using ICT technologies
AI & Big Data Medical Data Analyst
Analyzing medical imaging and EMR data to support clinical decision-making and create value
Community Care Smart Healthcare Practitioner
Supporting community patient recovery using remote monitoring and smart rehabilitation solutions
Curriculum & Tracks
Students can develop specialized competencies tailored to their career goals.
[Track 1] Digital Healthcare Coordinator
Digital clinical professionals with integrated patient management capabilities
Core Competencies:
Using digital healthcare devices, operating telemedicine systems, and managing patient data
Recommended for: Aspiring smart hospital staff and those interested in digital therapeutics roles
[Track 2] Medical Data Analysis Expert
Analysts who enhance the value of medical information with AI and big data technology
Core Competencies:
EMR/medical imaging data analysis, AI-based prognosis prediction, and healthcare statistics processing
Recommended for: Aspiring hospital data analysis teams, healthcare startups, and public health researchers
[Track 3] Smart Rehabilitation Solution Expert
Solution developers realizing personalized rehabilitation and community care
Core Competencies:
Wearable/IoT sensor-based rehabilitation, digital twin-based virtual rehabilitation training, and community integrated care planning
Recommended for: Aspiring workers in rehabilitation centers, elderly care facilities, and the wellness industry
Key Curriculum
Foundational/Core:
Technical/Applied:
- Medical Data Analysis & AI Application: Hands-on practice using Python and data analysis tools
- Telemedicine & Smart Rehabilitation: Practical training with IoT sensors and remote monitoring systems
- Digital Twin Medical Simulation: Clinical simulation using virtual patient models
Field/Practical:
- Convergence Capstone Design: Industry-linked project tackling real healthcare problems
- Community-Based Smart Healthcare Services: Practicum linked with local health centers and rehabilitation centers
Career After Graduation
Students who complete the AI Healthcare convergence major can enter not only clinical settings but also diverse future industry sectors.
Medical Institutions
- • Smart Hospital Coordinator
- • Medical Information Analysis Team
- • Telemedicine Center
Industry
- • Digital Healthcare Device Developer
- • AI Medical Diagnostics Company
- • Pharmaceutical & CRO (Contract Research Organization)
Public/Community
- • Public Health Center (Smart Health Management)
- • National Health Insurance Service
- • Community Integrated Care Center
Wellness/Tourism
- • Jeju Wellness Tourism-linked Healthcare Center
- • Personalized Health Management Consultant
Participating Faculty
Participating Departments
Lead Department
Department of Nursing (Lead Prof. Kim Yun-kyeong and others)
Participating
Key Partner Organizations
Medical Institution
• Cheju Halla General Hospital
Industry
• Seers Technology (Wearable Medical Device Company)
Regional Health Organization
• Jeju Western Health Center, etc.
Consultation & Inquiry
Prof. Kim Yun-kyung, Nursing Department
Please contact the responsible professor for inquiries about the major.
We look forward to your challenge to lead the future medical industry.
Student Benefits
Innovation Talent Support Fund
- Up to 50,000 KRW per credit
- Additional 50,000 KRW for industry-linked courses
- Maximum 500,000 KRW per person
Global Training Support
- Selected outstanding students for overseas training (Japan, etc.)
- Airfare and accommodation support
- Bonus points for participating in extracurricular programs
Advanced Educational Environment
- Generative AI paid tools (GPT, etc.) support
- Latest practice equipment and facilities
- Priority selection for Capstone Design