지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 101 - 114 (14page)
- DOI
- 10.17548/ksaf.2024.12.30.101
이용수
초록· 키워드
오류제보하기
This study began with the aim of addressing global healthcare challenges—aging populations, resource shortages, and regional disparities—by integrating artificial intelligence (AI) into telemedicine. The objective was to explore the application of AI-driven telemedicine in Asia, the United States, and Europe to enhance healthcare accessibility, efficiency, and diagnostic accuracy.
The study adopted a mixed-methods approach, including surveys and qualitative case studies. The surveys covered 50 healthcare professionals, 100 elderly patients, and 50 AI developers, focusing on system usability, trust in AI, data privacy, and ethical concerns. The qualitative case studies analyzed the current state and exemplary practices of telemedicine in each region.The findings revealed significant regional differences: Asia's market is rapidly developing, the United States features a mature system constrained by regulatory barriers, and Europe prioritizes data privacy and compliance. Common challenges identified across regions include trust in AI, safeguarding sensitive data, and improving overall system usability. These challenges highlight the need to enhance transparency in AI decision-making processes and implement stronger data protection measures. Based on the findings, the study recommends the following: Customize system features to meet regional needs and improve user experience. Strengthen data privacy protections through advanced technologies and robust policy frameworks. Establish clear ethical guidelines to improve transparency and foster user trust in AI-driven telemedicine systems. This study offers practical recommendations for the development of AI-powered telemedicine systems tailored to diverse global contexts.
The study adopted a mixed-methods approach, including surveys and qualitative case studies. The surveys covered 50 healthcare professionals, 100 elderly patients, and 50 AI developers, focusing on system usability, trust in AI, data privacy, and ethical concerns. The qualitative case studies analyzed the current state and exemplary practices of telemedicine in each region.The findings revealed significant regional differences: Asia's market is rapidly developing, the United States features a mature system constrained by regulatory barriers, and Europe prioritizes data privacy and compliance. Common challenges identified across regions include trust in AI, safeguarding sensitive data, and improving overall system usability. These challenges highlight the need to enhance transparency in AI decision-making processes and implement stronger data protection measures. Based on the findings, the study recommends the following: Customize system features to meet regional needs and improve user experience. Strengthen data privacy protections through advanced technologies and robust policy frameworks. Establish clear ethical guidelines to improve transparency and foster user trust in AI-driven telemedicine systems. This study offers practical recommendations for the development of AI-powered telemedicine systems tailored to diverse global contexts.
목차
Abstract
I. Introduction
II. Literature Review
Ⅲ. Case Study of AI Design in Telemedicine
IV. Survey Analysis
V. Conclusion and Recommendations
Reference
참고문헌 (0)
참고문헌 신청이 논문과 함께 이용한 논문
인간- AI 협업에 영향을 미치는 요인: 주제범위 문헌고찰을 바탕으로
오수경
,
김제이
,
Ma
외 5명
멀티미디어학회논문지
2024
.08
A Convergence Study on Factors Influencing User Acceptance of AI-Generated Music - Taking Suno AI Users as an Example -
Hu
,
Qi Kai
,
Kim
외 1명
한국과학예술융합학회
2024
.09
AI 발전이 불러온 보안 위협과 강화 필요성 연구
김대연
,
김성진
,
백재순
한국컴퓨터정보학회 학술발표논문집
2024
.07
모바일 수집형 RPG의 사용자 분석 : “쿠키런: 킹덤”을 중심으로
정윤아
,
우탁
디지털콘텐츠학회논문지
2022
.02
만화 애니메이션 팬덤 문화에 관한 연구 : 서울코믹월드를 중심으로
이승환
애니메이션연구
2015
.09
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-092211972